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2020 – today

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2024
[j51]
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  - journals/sensors/MazzoliAF24
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Federico Mazzoli, Davide Alghisi, Vittorio Ferrari:
Self-Diagnostic and Self-Compensation Methods for Resistive Displacement Sensors Tailored for In-Field Implementation. Sensors 24(8): 2594 (2024)
[j50]
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  - journals/tim/GelminiHFSR24
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Daniel Gelmini, Marcelo Alejandro Haberman, Vittorio Ferrari, Enrique Mario Spinelli, Ferran Reverter:
An Isolation Amplifier-Based Front-End Circuit for Grounded Capacitive Sensors. IEEE Trans. Instrum. Meas. 73: 1-10 (2024)
[c143]
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  - conf/cvpr/BousselhamPFK24
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Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne:
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. CVPR 2024: 3828-3837
[c142]
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Federico Mazzoli, Davide Alghisi, Vittorio Ferrari:
Comparative Analysis and New Proposal of Velocity Estimation Methods for Multivariable Motion Sensors. ETFA 2024: 1-7
[c141]
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Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV 2024: 6812-6822
[i84]
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  - journals/corr/abs-2404-05465
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Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings:
HAMMR: HierArchical MultiModal React agents for generic VQA. CoRR abs/2404.05465 (2024)
[i83]
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  - journals/corr/abs-2407-20034
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Walid Bousselham, Sofian Chaybouti, Christian Rupprecht, Vittorio Ferrari, Hilde Kuehne:
MaskInversion: Localized Embeddings via Optimization of Explainability Maps. CoRR abs/2407.20034 (2024)
2023
[j49]
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  - journals/access/NastroBFRBF23
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Alessandro Nastro, Marco Baù, Marco Ferrari, Libor Rufer, Skandar Basrour, Vittorio Ferrari:
Cell Alignment in Aqueous Solution Employing a Flexural Plate Wave Piezoelectric MEMS Transducer. IEEE Access 11: 130755-130762 (2023)
[j48]
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  - journals/pami/ManinisPNF23
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Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1320-1327 (2023)
[j47]
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  - journals/sensors/AcetiRAPNBFRFC23
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Pietro Aceti, Michele Rosso, Raffaele Ardito, Nicola Pienazza, Alessandro Nastro, Marco Baù, Marco Ferrari, Markku Rouvala, Vittorio Ferrari, Alberto Corigliano:
Optimization of an Impact-Based Frequency Up-Converted Piezoelectric Vibration Energy Harvester for Wearable Devices. Sensors 23(3): 1391 (2023)
[c140]
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  - conf/cvpr/VoigtlaenderCPS23
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Paul Voigtlaender, Soravit Changpinyo, Jordi Pont-Tuset, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Video Localized Narratives. CVPR 2023: 2461-2471
[c139]
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  - conf/iccv/MensinkUCGCZSAF23
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Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. ICCV 2023: 3090-3101
[c138]
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  - conf/iccv/RozumnyiMPFO23
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Denys Rozumnyi, Jirí Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald:
Tracking by 3D Model Estimation of Unknown Objects in Videos. ICCV 2023: 14040-14050
[c137]
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Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. ICCV 2023: 20132-20142
[c136]
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  - conf/iccv/StretcuVHVFTZAL23
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Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman:
Agile Modeling: From Concept to Classifier in Minutes. ICCV 2023: 22266-22277
[c135]
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  - conf/ieeesensors/NastroBFFVCCF23
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Alessandro Nastro, Marco Baù, Marco Ferrari, Francesco Foncellino, Flavio Francesco Villa, Federico Cuneo, Federica Capra, Vittorio Ferrari:
Design of a Novel Tridimensional Silicon MEMS ThermoElectric Generator. SENSORS 2023: 1-4
[c134]
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  - conf/nips/BugliarelloMVBS23
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Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender:
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. NeurIPS 2023
[c133]
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  - conf/nips/JampaniMEKTSP0B23
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Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023
[c132]
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  - conf/nips/RozumnyiPMNF23
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Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. NeurIPS 2023
[c131]
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  - conf/wacv/KayaKOFG23
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. WACV 2023: 3125-3134
[i82]
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  - journals/corr/abs-2302-11217
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Paul Voigtlaender, Soravit Changpinyo, Jordi Pont-Tuset, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Video Localized Narratives. CoRR abs/2302.11217 (2023)
[i81]
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  - journals/corr/abs-2302-12948
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Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Ariel Fuxman:
Agile Modeling: Image Classification with Domain Experts in the Loop. CoRR abs/2302.12948 (2023)
[i80]
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  - journals/corr/abs-2304-06419
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Denys Rozumnyi, Jiri Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald:
Tracking by 3D Model Estimation of Unknown Objects in Videos. CoRR abs/2304.06419 (2023)
[i79]
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  - journals/corr/abs-2306-09011
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Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR abs/2306.09011 (2023)
[i78]
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  - journals/corr/abs-2306-09077
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Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. CoRR abs/2306.09077 (2023)
[i77]
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  - journals/corr/abs-2306-09109
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Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023)
[i76]
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  - journals/corr/abs-2306-09224
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Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR abs/2306.09224 (2023)
[i75]
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  - journals/corr/abs-2308-11606
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Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender:
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR abs/2308.11606 (2023)
[i74]
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  - journals/corr/abs-2312-00878
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Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne:
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. CoRR abs/2312.00878 (2023)
2022
[j46]
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  - journals/pami/MensinkUKGF22
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Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari:
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9298-9314 (2022)
[j45]
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  - journals/sensors/NastroPBARAFCF22
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Alessandro Nastro, Nicola Pienazza, Marco Baù, Pietro Aceti, Markku Rouvala, Raffaele Ardito, Marco Ferrari, Alberto Corigliano, Vittorio Ferrari:
Wearable Ball-Impact Piezoelectric Multi-Converters for Low-Frequency Energy Harvesting from Human Motion. Sensors 22(3): 772 (2022)
[j44]
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  - journals/sensors/RossoNBFFCA22
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Michele Rosso, Alessandro Nastro, Marco Baù, Marco Ferrari, Vittorio Ferrari, Alberto Corigliano, Raffaele Ardito:
Piezoelectric Energy Harvesting from Low-Frequency Vibrations Based on Magnetic Plucking and Indirect Impacts. Sensors 22(15): 5911 (2022)
[c130]
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  - conf/aisem/ZiniBSLSN0F22
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Marco Zini, Marco Baù, Fabio Scubla, Matteo Loda, Giuseppe Stefini, Alessandro Nastro, Marco Ferrari, Vittorio Ferrari:
Radar Sensor System for Unobtrusive Level Monitoring of Granular Solids Stored in Silos. AISEM 2022: 147-152
[c129]
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Federico Mazzoli, Davide Alghisi, Vittorio Ferrari:
Algorithm for Velocity Estimation in a Multivariable Motion Sensor. AISEM 2022: 160-166
[c128]
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  - conf/cvpr/AgostinelliUMF22
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Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. CVPR 2022: 7926-7936
[c127]
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  - conf/cvpr/PandyAUFM22
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Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. CVPR 2022: 9162-9172
[c126]
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  - conf/cvpr/KayaKOFG22
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR 2022: 12591-12601
[c125]
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  - conf/cvpr/RematasLSBTFF22
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Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CVPR 2022: 12922-12932
[c124]
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  - conf/cvpr/RozumnyiOFP22
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Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. CVPR 2022: 15969-15978
[c123]
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  - conf/eccv/TyszkiewiczMPF22
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Michal J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari:
RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers. ECCV (10) 2022: 211-228
[c122]
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  - conf/eccv/AgostinelliPUMF22
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Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How Stable Are Transferability Metrics Evaluations? ECCV (34) 2022: 303-321
[c121]
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  - conf/eccv/UijlingsMF22
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Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding Label Relations Across Datasets. ECCV (8) 2022: 540-556
[c120]
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  - conf/etfa/MazzoliAF22
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Federico Mazzoli, Davide Alghisi, Vittorio Ferrari:
Real-Time Velocity Estimation Algorithm for a Multivariable Motion Sensor. ETFA 2022: 1-4
[c119]
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  - conf/iscas/BauZN0FL22
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Marco Baù, Marco Zini, Alessandro Nastro, Marco Ferrari, Vittorio Ferrari, Joshua E.-Y. Lee:
Electronic technique and system for non-contact reading of temperature sensors based on piezoelectric MEMS resonators. ISCAS 2022: 2409-2413
[c118]
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  - conf/wacv/SarnoKKHFG22
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Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314
[c117]
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  - conf/wacv/KayaKSFG22
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Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979
[i73]
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  - journals/corr/abs-2202-13071
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR abs/2202.13071 (2022)
[i72]
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  - journals/corr/abs-2203-13296
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Michal J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari:
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers. CoRR abs/2203.13296 (2022)
[i71]
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  - journals/corr/abs-2204-01403
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Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How stable are Transferability Metrics evaluations? CoRR abs/2204.01403 (2022)
[i70]
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Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding label relations across datasets. CoRR abs/2206.04453 (2022)
[i69]
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  - journals/corr/abs-2210-07670
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. CoRR abs/2210.07670 (2022)
[i68]
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  - journals/corr/abs-2210-14142
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Rodrigo Benenson, Vittorio Ferrari:
From colouring-in to pointillism: revisiting semantic segmentation supervision. CoRR abs/2210.14142 (2022)
[i67]
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  - journals/corr/abs-2212-11920
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Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. CoRR abs/2212.11920 (2022)
2021
[j43]
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Zhaohui Yang, Miaojing Shi, Chao Xu, Vittorio Ferrari, Yannis Avrithis:
Training object detectors from few weakly-labeled and many unlabeled images. Pattern Recognit. 120: 108164 (2021)
[c116]
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Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Towards Reusable Network Components by Learning Compatible Representations. AAAI 2021: 7620-7629
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Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. AIES 2021: 916-925
[c114]
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Alessandro Nastro, Marco Baù, Marco Ferrari, Vittorio Ferrari:
Piezoelectric MEMS for Sensors, Actuators and Energy Harvesting. AISEM 2021: 264-270
[c113]
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Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CVPR 2021: 3456-3465
[c112]
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Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814
[c111]
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Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari:
From Points to Multi-Object 3D Reconstruction. CVPR 2021: 4588-4597
[c110]
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Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut:
Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval. ICCV 2021: 12116-12126
[c109]
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Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
Sharf: Shape-conditioned Radiance Fields from a Single View. ICML 2021: 8948-8958
[c108]
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Alessandro Nastro, Marco Ferrari, Vittorio Ferrari:
Electrostatic-Capacitive MEMS Stiffness Sensor with Position-Feedback Mechanism. IEEE SENSORS 2021: 1-4
[c107]
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Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects. NeurIPS 2021: 29972-29983
[c106]
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Alina Kuznetsova, Aakrati Talati, Yiwen Luo, Keith Simmons, Vittorio Ferrari:
Efficient video annotation with visual interpolation and frame selection guidance. WACV 2021: 3069-3078
[i66]
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Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut:
Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval. CoRR abs/2102.04980 (2021)
[i65]
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Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
ShaRF: Shape-conditioned Radiance Fields from a Single View. CoRR abs/2102.08860 (2021)
[i64]
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  - journals/corr/abs-2103-13318
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Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari:
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types. CoRR abs/2103.13318 (2021)
[i63]
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  - journals/corr/abs-2105-02317
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Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. CoRR abs/2105.02317 (2021)
[i62]
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  - journals/corr/abs-2106-08762
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Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects. CoRR abs/2106.08762 (2021)
[i61]
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  - journals/corr/abs-2110-05594
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Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. CoRR abs/2110.05594 (2021)
[i60]
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Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. CoRR abs/2110.05621 (2021)
[i59]
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  - journals/corr/abs-2111-12780
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Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. CoRR abs/2111.12780 (2021)
[i58]
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Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. CoRR abs/2111.13011 (2021)
[i57]
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  - journals/corr/abs-2111-14465
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Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. CoRR abs/2111.14465 (2021)
[i56]
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  - journals/corr/abs-2111-14643
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Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CoRR abs/2111.14643 (2021)
2020
[j42]
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  - journals/ijcv/WeissFSH20
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Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert:
Special Issue: Advances in Architectures and Theories for Computer Vision. Int. J. Comput. Vis. 128(3): 573-574 (2020)
[j41]
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  - journals/ijcv/HendersonF20
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Paul Henderson, Vittorio Ferrari:
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. Int. J. Comput. Vis. 128(4): 835-854 (2020)
[j40]
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Michael Gygli, Vittorio Ferrari:
Efficient Object Annotation via Speaking and Pointing. Int. J. Comput. Vis. 128(5): 1061-1075 (2020)
[j39]
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  - journals/ijcv/KuznetsovaRAUKP20
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Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4. Int. J. Comput. Vis. 128(7): 1956-1981 (2020)
[j38]
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  - journals/sensors/BauFBALF20
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Marco Baù, Marco Ferrari, Habiba Begum, Abid Ali, Joshua E.-Y. Lee, Vittorio Ferrari:
Technique and Circuit for Contactless Readout of Piezoelectric MEMS Resonator Sensors. Sensors 20(12): 3483 (2020)
[c105]
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Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. CVPR 2020: 5416-5426
[c104]
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  - conf/cvpr/PumarolaPMF20
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Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari:
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. CVPR 2020: 7946-7955
[c103]
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Stefan Popov, Pablo Bauszat, Vittorio Ferrari:
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image. ECCV (2) 2020: 366-383
[c102]
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Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. ECCV (16) 2020: 579-596
[c101]
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Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Localized Narratives. ECCV (5) 2020: 647-664
[c100]
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Jasper R. R. Uijlings, Mykhaylo Andriluka, Vittorio Ferrari:
Panoptic Image Annotation with a Collaborative Assistant. ACM Multimedia 2020: 3302-3310
[i55]
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  - journals/corr/abs-2004-03898
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Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Training Neural Networks to Produce Compatible Features. CoRR abs/2004.03898 (2020)
[i54]
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  - journals/corr/abs-2004-12989
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Stefan Popov, Pablo Bauszat, Vittorio Ferrari:
CoReNet: Coherent 3D scene reconstruction from a single RGB image. CoRR abs/2004.12989 (2020)
[i53]
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  - journals/corr/abs-2007-08173
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Mykhaylo Andriluka, Stefano Pellegrini, Stefan Popov, Vittorio Ferrari:
Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity. CoRR abs/2007.08173 (2020)
[i52]
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  - journals/corr/abs-2012-00595
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Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CoRR abs/2012.00595 (2020)
[i51]
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  - journals/corr/abs-2012-04641
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Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos. CoRR abs/2012.04641 (2020)
[i50]
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  - journals/corr/abs-2012-06777
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Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CoRR abs/2012.06777 (2020)
[i49]
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  - journals/corr/abs-2012-11575
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Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari:
From Points to Multi-Object 3D Reconstruction. CoRR abs/2012.11575 (2020)
[i48]
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  - journals/corr/abs-2012-12554
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Alina Kuznetsova, Aakrati Talati, Yiwen Luo, Keith Simmons, Vittorio Ferrari:
Efficient video annotation with visual interpolation and frame selection guidance. CoRR abs/2012.12554 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[j37]
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Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. 127(11-12): 1694-1706 (2019)
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Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. CVPR 2019: 5365-5373
[c98]
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Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation by Considering All Regions Jointly. CVPR 2019: 11622-11631
[c97]
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  - conf/cvpr/BenensonPF19
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Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-Scale Interactive Object Segmentation With Human Annotators. CVPR 2019: 11700-11709
[c96]
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  - conf/iccvw/KolesnikovKLF19
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Alexander Kolesnikov, Alina Kuznetsova, Christoph Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. ICCV Workshops 2019: 1749-1753
[c95]
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  - conf/prime/Nastro0F19
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Alessandro Nastro, Marco Ferrari, Vittorio Ferrari:
Servo-Assisted Position-Feedback MEMS Inclinometer with Tunable Sensitivity. PRIME 2019: 305-308
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Bruno Andò, Francesco Baldini, Corrado Di Natale, Vittorio Ferrari, Vincenzo Marletta, Giovanna Marrazza, Valeria Militello, Giorgia Miolo, Marco Rossi, Lorenzo Scalise, Pietro Siciliano:
Sensors - Proceedings of the Fourth National Conference on Sensors, February 21-23, 2018, Catania, Italy. Lecture Notes in Electrical Engineering 539, Springer 2019, ISBN 978-3-030-04323-0 [contents]
[i47]
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Paul Henderson, Vittorio Ferrari:
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. CoRR abs/1901.06447 (2019)
[i46]
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Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-scale interactive object segmentation with human annotators. CoRR abs/1903.10830 (2019)
[i45]
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Michael Gygli, Vittorio Ferrari:
Efficient Object Annotation via Speaking and Pointing. CoRR abs/1905.10576 (2019)
[i44]
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Jordi Pont-Tuset, Michael Gygli, Vittorio Ferrari:
Natural Vocabulary Emerges from Free-Form Annotations. CoRR abs/1906.01542 (2019)
[i43]
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Jasper R. R. Uijlings, Mykhaylo Andriluka, Vittorio Ferrari:
Panoptic Image Annotation with a Collaborative Assistant. CoRR abs/1906.06798 (2019)
[i42]
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  - journals/corr/abs-1911-12709
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Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. CoRR abs/1911.12709 (2019)
[i41]
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  - journals/corr/abs-1912-00384
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Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari:
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. CoRR abs/1912.00384 (2019)
[i40]
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Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Localized Narratives. CoRR abs/1912.03098 (2019)
[i39]
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Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. CoRR abs/1912.04591 (2019)
[i38]
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Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari:
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. CoRR abs/1912.07009 (2019)
2018
[j36]
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Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Do Semantic Parts Emerge in Convolutional Neural Networks? Int. J. Comput. Vis. 126(5): 476-494 (2018)
[j35]
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Davide Modolo, Vittorio Ferrari:
Learning Semantic Part-Based Models from Google Images. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1502-1509 (2018)
[c94]
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Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. BMVC 2018: 1
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Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting Knowledge Transfer for Training Object Class Detectors. CVPR 2018: 1101-1110
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Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
COCO-Stuff: Thing and Stuff Classes in Context. CVPR 2018: 1209-1218
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Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as Context for Detecting Their Semantic Parts. CVPR 2018: 6907-6916
[c90]
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  - conf/cvpr/KonyushkovaULF18
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Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari:
Learning Intelligent Dialogs for Bounding Box Annotation. CVPR 2018: 9175-9184
[c89]
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  - conf/eccv/FreytagFFFBGSYR18
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Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493
[c88]
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Marco Demori, Marco Baù, Simone Dalola, Marco Ferrari, Vittorio Ferrari:
RFID powered system for contactless measurement of a resistive sensor array. I2MTC 2018: 1-5
[c87]
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Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari:
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation. ACM Multimedia 2018: 1957-1966
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11205, Springer 2018, ISBN 978-3-030-01245-8 [contents]
[e16]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11206, Springer 2018, ISBN 978-3-030-01215-1 [contents]
[e15]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11207, Springer 2018, ISBN 978-3-030-01218-2 [contents]
[e14]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11208, Springer 2018, ISBN 978-3-030-01224-3 [contents]
[e13]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11209, Springer 2018, ISBN 978-3-030-01227-4 [contents]
[e12]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11210, Springer 2018, ISBN 978-3-030-01230-4 [contents]
[e11]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII. Lecture Notes in Computer Science 11211, Springer 2018, ISBN 978-3-030-01233-5 [contents]
[e10]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII. Lecture Notes in Computer Science 11212, Springer 2018, ISBN 978-3-030-01236-6 [contents]
[e9]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IX. Lecture Notes in Computer Science 11213, Springer 2018, ISBN 978-3-030-01239-7 [contents]
[e8]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part X. Lecture Notes in Computer Science 11214, Springer 2018, ISBN 978-3-030-01248-9 [contents]
[e7]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI. Lecture Notes in Computer Science 11215, Springer 2018, ISBN 978-3-030-01251-9 [contents]
[e6]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII. Lecture Notes in Computer Science 11216, Springer 2018, ISBN 978-3-030-01257-1 [contents]
[e5]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII. Lecture Notes in Computer Science 11217, Springer 2018, ISBN 978-3-030-01260-1 [contents]
[e4]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV. Lecture Notes in Computer Science 11218, Springer 2018, ISBN 978-3-030-01263-2 [contents]
[e3]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV. Lecture Notes in Computer Science 11219, Springer 2018, ISBN 978-3-030-01266-3 [contents]
[e2]
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Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI. Lecture Notes in Computer Science 11220, Springer 2018, ISBN 978-3-030-01269-4 [contents]
[i37]
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Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari:
Fluid Annotation: a human-machine collaboration interface for full image annotation. CoRR abs/1806.07527 (2018)
[i36]
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Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. CoRR abs/1807.02136 (2018)
[i35]
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Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. CoRR abs/1807.09259 (2018)
[i34]
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Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale. CoRR abs/1811.00982 (2018)
[i33]
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Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. CoRR abs/1811.09461 (2018)
[i32]
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Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation. CoRR abs/1812.01888 (2018)
2017
[j34]
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Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video. Int. J. Comput. Vis. 121(2): 303-325 (2017)
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Carina Silberer, Vittorio Ferrari, Mirella Lapata:
Visually Grounded Meaning Representations. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2284-2297 (2017)
[j32]
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  - journals/sensors/BauFF17
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Marco Baù, Marco Ferrari, Vittorio Ferrari:
Analysis and Validation of Contactless Time-Gated Interrogation Technique for Quartz Resonator Sensors. Sensors 17(6): 1264 (2017)
[j31]
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Marco Demori, Marco Ferrari, Arianna Bonzanini, Pietro Poesio, Vittorio Ferrari:
Autonomous Sensors Powered by Energy Harvesting from von Karman Vortices in Airflow. Sensors 17(9): 2100 (2017)
[c86]
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Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari:
The Devil is in the Decoder. BMVC 2017
[c85]
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Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Training Object Class Detectors with Click Supervision. CVPR 2017: 180-189
[c84]
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  - conf/iccv/KalogeitonWFS17
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Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Joint Learning of Object and Action Detectors. ICCV 2017: 2001-2010
[c83]
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Miaojing Shi, Holger Caesar, Vittorio Ferrari:
Weakly Supervised Object Localization Using Things and Stuff Transfer. ICCV 2017: 3401-3410
[c82]
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  - conf/iccv/LiuF17
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Buyu Liu, Vittorio Ferrari:
Active Learning for Human Pose Estimation. ICCV 2017: 4373-4382
[c81]
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Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. ICCV 2017: 4415-4423
[c80]
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Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Extreme Clicking for Efficient Object Annotation. ICCV 2017: 4940-4949
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Marco Demori, Mehedi Masud, Marco Baù, Marco Ferrari, Vittorio Ferrari:
Passive LC sensor label with distance-independent contactless interrogation. IEEE SENSORS 2017: 1-3
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Alessandro Nastro, Marco Ferrari, Vittorio Ferrari, Alfio-lip Russo, Raffaele Ardito:
MEMS force sensor with DDS-based position feedback and tunable sensitivity. IEEE SENSORS 2017: 1-3
[i31]
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Miaojing Shi, Holger Caesar, Vittorio Ferrari:
Weakly Supervised Object Localization Using Things and Stuff Transfer. CoRR abs/1703.08000 (2017)
[i30]
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Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as context for part detection. CoRR abs/1703.09529 (2017)
[i29]
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Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Training object class detectors with click supervision. CoRR abs/1704.06189 (2017)
[i28]
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Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. CoRR abs/1705.01861 (2017)
[i27]
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Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How hard can it be? Estimating the difficulty of visual search in an image. CoRR abs/1705.08280 (2017)
[i26]
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Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder. CoRR abs/1707.05847 (2017)
[i25]
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Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Extreme clicking for efficient object annotation. CoRR abs/1708.02750 (2017)
[i24]
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Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting knowledge transfer for training object class detectors. CoRR abs/1708.06128 (2017)
[i23]
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  - journals/corr/abs-1711-10939
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Paul Henderson, Vittorio Ferrari:
A Generative Model of 3D Object Layouts in Apartments. CoRR abs/1711.10939 (2017)
[i22]
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Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari:
Learning Intelligent Dialogs for Bounding Box Annotation. CoRR abs/1712.08087 (2017)
2016
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Anestis Papazoglou, Luca Del Pero, Vittorio Ferrari:
Discovering object aspects from video. Image Vis. Comput. 52: 206-217 (2016)
[j29]
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Vicky Kalogeiton, Vittorio Ferrari, Cordelia Schmid:
Analysing Domain Shift Factors between Videos and Images for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2327-2334 (2016)
[c77]
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Paul Henderson, Vittorio Ferrari:
End-to-End Training of Object Class Detectors for Mean Average Precision. ACCV (5) 2016: 198-213
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Anestis Papazoglou, Luca Del Pero, Vittorio Ferrari:
Video Temporal Alignment for Object Viewpoint. ACCV (4) 2016: 273-288
[c75]
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Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Discovering the Physical Parts of an Articulated Object Class from Multiple Videos. CVPR 2016: 714-723
[c74]
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Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification. CVPR 2016: 854-863
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Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. CVPR 2016: 2157-2166
[c72]
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Miaojing Shi, Vittorio Ferrari:
Weakly Supervised Object Localization Using Size Estimates. ECCV (5) 2016: 105-121
[c71]
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Paul Henderson, Vittorio Ferrari:
Automatically Selecting Inference Algorithms for Discrete Energy Minimisation. ECCV (5) 2016: 235-252
[c70]
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Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
Region-Based Semantic Segmentation with End-to-End Training. ECCV (1) 2016: 381-397
[c69]
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Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei:
What's the Point: Semantic Segmentation with Point Supervision. ECCV (7) 2016: 549-565
[c68]
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Michela Borghetti, Marco Demori, Marco Ferrari, Vittorio Ferrari, Emilio Sardini, Mauro Serpelloni:
Impedance Sensors Embedded in Culture Media for Early Detection of Bacteria Growth. Sensors 2016: 218-228
[i21]
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Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
We don't need no bounding-boxes: Training object class detectors using only human verification. CoRR abs/1602.08405 (2016)
[i20]
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Paul Henderson, Vittorio Ferrari:
End-to-end training of object class detectors for mean average precision. CoRR abs/1607.03476 (2016)
[i19]
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Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Do semantic parts emerge in Convolutional Neural Networks? CoRR abs/1607.03738 (2016)
[i18]
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Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
Region-based semantic segmentation with end-to-end training. CoRR abs/1607.07671 (2016)
[i17]
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Miaojing Shi, Vittorio Ferrari:
Weakly Supervised Object Localization Using Size Estimates. CoRR abs/1608.04314 (2016)
[i16]
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Davide Modolo, Vittorio Ferrari:
Learning Semantic Part-Based Models from Google Images. CoRR abs/1609.03140 (2016)
[i15]
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Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
COCO-Stuff: Thing and Stuff Classes in Context. CoRR abs/1612.03716 (2016)
2015
[j28]
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Trevor Darrell, Vittorio Ferrari, Frédéric Jurie, Vincent Lepetit:
Introduction to the CVIU special issue on "Parts and Attributes: Mid-level representation for object recognition, scene classification and object detection". Comput. Vis. Image Underst. 138: 85 (2015)
[j27]
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Davide Alghisi, Marco Ferrari, Vittorio Ferrari:
Battery-less non-contact temperature measurement system powered by energy harvesting from intentional human action. IET Circuits Devices Syst. 9(2): 96-104 (2015)
[c67]
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Alexander Vezhnevets, Vittorio Ferrari:
Object localization in ImageNet by looking out of the window. BMVC 2015: 27.1-27.12
[c66]
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Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
Joint Calibration for Semantic Segmentation. BMVC 2015: 29.1-29.13
[c65]
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Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari:
Context Forest for Object Class Detection. BMVC 2015: 188.1-188.14
[c64]
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  - conf/cvpr/VolpiF15
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Michele Volpi, Vittorio Ferrari:
Semantic segmentation of urban scenes by learning local class interactions. CVPR Workshops 2015: 1-9
[c63]
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Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Articulated motion discovery using pairs of trajectories. CVPR 2015: 2151-2160
[c62]
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Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari:
An active search strategy for efficient object class detection. CVPR 2015: 3022-3031
[c61]
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Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari:
Joint calibration of Ensemble of Exemplar SVMs. CVPR 2015: 3955-3963
[c60]
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Jasper R. R. Uijlings, Vittorio Ferrari:
Situational object boundary detection. CVPR 2015: 4712-4721
[c59]
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Michele Volpi, Vittorio Ferrari:
Structured prediction for urban scene semantic segmentation with geographic context. JURSE 2015: 1-4
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Anja Belz, Luísa Coheur, Vittorio Ferrari, Marie-Francine Moens, Katerina Pastra, Ivan Vulic:
Proceedings of the Fourth Workshop on Vision and Language, VL@EMNLP 2015, Lisbon, Portugal, September 18, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-32-7 [contents]
[i14]
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Alexander Vezhnevets, Vittorio Ferrari:
Looking out of the window: object localization by joint analysis of all windows in the image. CoRR abs/1501.01181 (2015)
[i13]
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Vicky Kalogeiton, Vittorio Ferrari, Cordelia Schmid:
Analysing domain shift factors between videos and images for object detection. CoRR abs/1501.01186 (2015)
[i12]
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Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari:
Joint calibration of Ensemble of Exemplar SVMs. CoRR abs/1503.00783 (2015)
[i11]
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Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari:
Context Forest for efficient object detection with large mixture models. CoRR abs/1503.00787 (2015)
[i10]
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Jasper R. R. Uijlings, Vittorio Ferrari:
Situational Object Boundary Detection. CoRR abs/1504.06434 (2015)
[i9]
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Olga Russakovsky, Amy L. Bearman, Vittorio Ferrari, Li Fei-Fei:
What's the point: Semantic segmentation with point supervision. CoRR abs/1506.02106 (2015)
[i8]
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Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
Joint Calibration for Semantic Segmentation. CoRR abs/1507.01581 (2015)
[i7]
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Paul Henderson, Vittorio Ferrari:
Automatically selecting inference algorithms for discrete energy minimisation. CoRR abs/1511.06214 (2015)
[i6]
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Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video. CoRR abs/1511.09319 (2015)
2014
[j26]
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Manuel Jesús Marín-Jiménez, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari:
Detecting People Looking at Each Other in Videos. Int. J. Comput. Vis. 106(3): 282-296 (2014)
[j25]
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Matthieu Guillaumin, Daniel Küttel, Vittorio Ferrari:
ImageNet Auto-Annotation with Segmentation Propagation. Int. J. Comput. Vis. 110(3): 328-348 (2014)
[c58]
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Alexander Vezhnevets, Vittorio Ferrari:
Associative Embeddings for Large-Scale Knowledge Transfer with Self-Assessment. CVPR 2014: 1987-1994
[c57]
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Dim P. Papadopoulos, Alasdair D. F. Clarke, Frank Keller, Vittorio Ferrari:
Training Object Class Detectors from Eye Tracking Data. ECCV (5) 2014: 361-376
[c56]
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Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert:
Closed-Form Approximate CRF Training for Scalable Image Segmentation. ECCV (3) 2014: 550-565
[c55]
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Mohamad Farran, Marco Baù, Daniele Modotto, Marco Ferrari, Vittorio Ferrari:
Design, Simulation And Testing Of Planar Spiral Coils For The Time-Gated Interrogation Of Quartz Resonator Sensors. ECMS 2014: 147-152
[i5]
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Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert:
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation. CoRR abs/1403.7057 (2014)
[i4]
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Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Articulated motion discovery using pairs of trajectories. CoRR abs/1411.7883 (2014)
[i3]
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Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video. CoRR abs/1412.0477 (2014)
[i2]
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Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari:
An active search strategy for efficient object detection. CoRR abs/1412.3709 (2014)
2013
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Alessandro Prest, Vittorio Ferrari, Cordelia Schmid:
Explicit Modeling of Human-Object Interactions in Realistic Videos. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 835-848 (2013)
[c54]
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Carina Silberer, Vittorio Ferrari, Mirella Lapata:
Models of Semantic Representation with Visual Attributes. ACL (1) 2013: 572-582
[c53]
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Daniel Küttel, Vittorio Ferrari:
Learning to approximate global shape priors for figure-ground segmentation. BMVC 2013
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Matthieu Guillaumin, Luc Van Gool, Vittorio Ferrari:
Fast Energy Minimization Using Learned State Filters. CVPR 2013: 1682-1689
[c51]
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Davide Alghisi, Marco Ferrari, Vittorio Ferrari:
Portable battery-less noncontact temperature measurement system powered on-demand by human action. ETFA 2013: 1-4
[c50]
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Anestis Papazoglou, Vittorio Ferrari:
Fast Object Segmentation in Unconstrained Video. ICCV 2013: 1777-1784
[c49]
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Davide Alghisi, Marco Ferrari, Vittorio Ferrari:
Wireless noncontact temperature measurement system powered by intentional human action. ENSSys@SenSys 2013: 20:1-20:2
[i1]
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Alexander Vezhnevets, Vittorio Ferrari:
Associative embeddings for large-scale knowledge transfer with self-assessment. CoRR abs/1312.3240 (2013)
2012
[j23]
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Marcin Eichner, Manuel Jesús Marín-Jiménez, Andrew Zisserman, Vittorio Ferrari:
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images. Int. J. Comput. Vis. 99(2): 190-214 (2012)
[j22]
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Thomas Deselaers, Bogdan Alexe, Vittorio Ferrari:
Weakly Supervised Localization and Learning with Generic Knowledge. Int. J. Comput. Vis. 100(3): 275-293 (2012)
[j21]
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Alessandro Prest, Cordelia Schmid, Vittorio Ferrari:
Weakly Supervised Learning of Interactions between Humans and Objects. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 601-614 (2012)
[j20]
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Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari:
Measuring the Objectness of Image Windows. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2189-2202 (2012)
[j19]
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Marcin Eichner, Vittorio Ferrari:
Human Pose Co-Estimation and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2282-2288 (2012)
[c48]
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Marcin Eichner, Vittorio Ferrari:
Appearance Sharing for Collective Human Pose Estimation. ACCV (1) 2012: 138-151
[c47]
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Daniel Küttel, Vittorio Ferrari:
Figure-ground segmentation by transferring window masks. CVPR 2012: 558-565
[c46]
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Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann:
Weakly supervised structured output learning for semantic segmentation. CVPR 2012: 845-852
[c45]
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Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari:
Active learning for semantic segmentation with expected change. CVPR 2012: 3162-3169
[c44]
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  - conf/cvpr/GuillauminF12
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Matthieu Guillaumin, Vittorio Ferrari:
Large-scale knowledge transfer for object localization in ImageNet. CVPR 2012: 3202-3209
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Alessandro Prest, Christian Leistner, Javier Civera, Cordelia Schmid, Vittorio Ferrari:
Learning object class detectors from weakly annotated video. CVPR 2012: 3282-3289
[c42]
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Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari, C. V. Jawahar:
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators. ECCV (3) 2012: 114-128
[c41]
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Daniel Küttel, Matthieu Guillaumin, Vittorio Ferrari:
Segmentation Propagation in ImageNet. ECCV (7) 2012: 459-473
[c40]
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Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari, C. V. Jawahar:
Video retrieval by mimicking poses. ICMR 2012: 34
[c39]
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Daniel Küttel, Matthieu Guillaumin, Vittorio Ferrari:
Combining Image-Level and Segment-Level Models for Automatic Annotation. MMM 2012: 16-28
[c38]
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Bogdan Alexe, Nicolas Heess, Yee Whye Teh, Vittorio Ferrari:
Searching for objects driven by context. NIPS 2012: 890-898
2011
[c37]
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Manuel J. Marín-Jiménez, Andrew Zisserman, Vittorio Ferrari:
"Here's looking at you, kid". Detecting people looking at each other in videos. BMVC 2011: 1-12
[c36]
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Mert Özcan, Jie Luo, Vittorio Ferrari, Barbara Caputo:
A Large-Scale Database of Images and Captions for Automatic Face Naming. BMVC 2011: 1-11
[c35]
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Thomas Deselaers, Vittorio Ferrari:
Visual and semantic similarity in ImageNet. CVPR 2011: 1777-1784
[c34]
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Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann:
Weakly supervised semantic segmentation with a multi-image model. ICCV 2011: 643-650
[c33]
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Bogdan Alexe, Viviana Petrescu, Vittorio Ferrari:
Exploiting spatial overlap to efficiently compute appearance distances between image windows. NIPS 2011: 2735-2743
[c32]
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Vittorio Ferrari:
Learning Object Categories with Generic Knowledge. VISAPP 2011: 07
2010
[j18]
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Vittorio Ferrari, Frédéric Jurie, Cordelia Schmid:
From Images to Shape Models for Object Detection. Int. J. Comput. Vis. 87(3): 284-303 (2010)
[c31]
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Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari:
What is an object? CVPR 2010: 73-80
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Thomas Deselaers, Vittorio Ferrari:
Global and efficient self-similarity for object classification and detection. CVPR 2010: 1633-1640
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Daniel Küttel, Michael D. Breitenstein, Luc Van Gool, Vittorio Ferrari:
What's going on? Discovering spatio-temporal dependencies in dynamic scenes. CVPR 2010: 1951-1958
[c28]
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Marcin Eichner, Vittorio Ferrari:
We Are Family: Joint Pose Estimation of Multiple Persons. ECCV (1) 2010: 228-242
[c27]
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Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari:
ClassCut for Unsupervised Class Segmentation. ECCV (5) 2010: 380-393
[c26]
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Thomas Deselaers, Bogdan Alexe, Vittorio Ferrari:
Localizing Objects While Learning Their Appearance. ECCV (4) 2010: 452-466
[c25]
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Thomas Deselaers, Vittorio Ferrari:
A Conditional Random Field for Multiple-Instance Learning. ICML 2010: 287-294

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
[j17]
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Shape-from-recognition: Recognition enables meta-data transfer. Comput. Vis. Image Underst. 113(12): 1222-1234 (2009)
[j16]
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Using Multi-view Recognition and Meta-data Annotation to Guide a Robot's Attention. Int. J. Robotics Res. 28(8): 976-998 (2009)
[j15]
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Simone Dalola, Marco Ferrari, Vittorio Ferrari, Michele Guizzetti, Daniele Marioli, Andrea Taroni:
Characterization of Thermoelectric Modules for Powering Autonomous Sensors. IEEE Trans. Instrum. Meas. 58(1): 99-107 (2009)
[j14]
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Simone Dalola, Vittorio Ferrari, Michele Guizzetti, Daniele Marioli, Emilio Sardini, Mauro Serpelloni, Andrea Taroni:
Autonomous Sensor System With Power Harvesting for Telemetric Temperature Measurements of Pipes. IEEE Trans. Instrum. Meas. 58(5): 1471-1478 (2009)
[c24]
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Marcin Eichner, Vittorio Ferrari:
Better Appearance Models for Pictorial Structures. BMVC 2009: 1-11
[c23]
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Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
Pose search: Retrieving people using their pose. CVPR 2009: 1-8
[c22]
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Jie Luo, Barbara Caputo, Vittorio Ferrari:
Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation. NIPS 2009: 1168-1176
2008
[j13]
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Vittorio Ferrari, L. Fevrier, Frédéric Jurie, Cordelia Schmid:
Groups of Adjacent Contour Segments for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 36-51 (2008)
[c21]
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Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
Progressive search space reduction for human pose estimation. CVPR 2008
[c20]
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Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
2D Human Pose Estimation in TV Shows. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 128-147
[c19]
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Using Recognition to Guide a Robot's Attention. Robotics: Science and Systems 2008
2007
[j12]
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Ramon Casanella, Oscar Casas, Marco Ferrari, Vittorio Ferrari, Ramon Pallas-Areny:
Synchronous Demodulator for Autonomous Sensors. IEEE Trans. Instrum. Meas. 56(4): 1219-1223 (2007)
[j11]
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Marco Massarotto, Oscar Casas, Vittorio Ferrari, Ramon Pallas-Areny:
Improved Fully Differential Analog Filters. IEEE Trans. Instrum. Meas. 56(6): 2464-2469 (2007)
[c18]
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Vittorio Ferrari, Frédéric Jurie, Cordelia Schmid:
Accurate Object Detection with Deformable Shape Models Learnt from Images. CVPR 2007
[c17]
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Till Quack, Vittorio Ferrari, Bastian Leibe, Luc Van Gool:
Efficient Mining of Frequent and Distinctive Feature Configurations. ICCV 2007: 1-8
[c16]
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback. ICCV 2007: 1-8
[c15]
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Vittorio Ferrari, Andrew Zisserman:
Learning Visual Attributes. NIPS 2007: 433-440
[c14]
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James Philbin, Ondrej Chum, Josef Sivic, Vittorio Ferrari, Manuel J. Marín-Jiménez, Anna Bosch, Nicholas Apostolof, Andrew Zisserman:
Oxford TRECVid 2007 \u2013 Notebook paper. TRECVID 2007
2006
[j10]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views. Int. J. Comput. Vis. 67(2): 159-188 (2006)
[j9]
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Alessandro Depari, Paolo Ferrari, Vittorio Ferrari, Alessandra Flammini, Alessio Ghisla, Daniele Marioli, Andrea Taroni:
Digital signal processing for biaxial position measurement with a pyroelectric sensor array. IEEE Trans. Instrum. Meas. 55(2): 501-506 (2006)
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Vittorio Ferrari, Alessio Ghisla, Daniele Marioli, Andrea Taroni:
Capacitive angular-position sensor with electrically floating conductive rotor and measurement redundancy. IEEE Trans. Instrum. Meas. 55(2): 514-520 (2006)
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Marco Ferrari, Vittorio Ferrari, Daniele Marioli, Andrea Taroni, Michele Suman, Enrico Dalcanale:
In-liquid sensing of chemical compounds by QCM sensors coupled with high-accuracy ACC oscillator. IEEE Trans. Instrum. Meas. 55(3): 828-834 (2006)
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Marco Ferrari, Vittorio Ferrari, Daniele Marioli, Andrea Taroni:
Modeling, Fabrication and Performance Measurements of a Piezoelectric Energy Converter for Power Harvesting in Autonomous Microsystems. IEEE Trans. Instrum. Meas. 55(6): 2096-2101 (2006)
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Till Quack, Vittorio Ferrari, Luc Van Gool:
Video Mining with Frequent Itemset Configurations. CIVR 2006: 360-369
[c12]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Simultaneous Object Recognition and Segmentation by Image Exploration. Toward Category-Level Object Recognition 2006: 145-169
[c11]
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Bernt Schiele, Luc Van Gool:
Towards Multi-View Object Class Detection. CVPR (2) 2006: 1589-1596
[c10]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Object Detection by Contour Segment Networks. ECCV (3) 2006: 14-28
2005
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Vittorio Ferrari:
Affine invariant regions++. ETH Zurich, 2005, ISBN 3-89649-985-8, pp. 1-231
[j5]
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Alexey Zalesny, Vittorio Ferrari, Geert Caenen, Luc Van Gool:
Composite Texture Synthesis. Int. J. Comput. Vis. 62(1-2): 161-176 (2005)
[c9]
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Herbert Bay, Vittorio Ferrari, Luc Van Gool:
Wide-Baseline Stereo Matching with Line Segments. CVPR (1) 2005: 329-336
2004
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Integrating Multiple Model Views for Object Recognition. CVPR (2) 2004: 105-112
[c7]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Simultaneous Object Recognition and Segmentation by Image Exploration. ECCV (1) 2004: 40-54
[c6]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Retrieving objects from videos based on affine regions. EUSIPCO 2004: 1733-1736
2003
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Wide-baseline Multiple-view Correspondences. CVPR (1) 2003: 718-728
[c4]
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Hao Shao, Tomás Svoboda, Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Fast indexing for image retrieval based on local appearance with re-ranking. ICIP (3) 2003: 737-740
2002
[j4]
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Vittorio Ferrari, Daniele Marioli, Andrea Taroni:
Displacement sensor based on pyroelectric thick films and contactless light-spot cursor. IEEE Trans. Instrum. Meas. 51(4): 819-823 (2002)
[c3]
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Alexey Zalesny, Vittorio Ferrari, Geert Caenen, Dominik Auf der Maur, Luc Van Gool:
Composite Texture Descriptions. ECCV (3) 2002: 180-194
2001
[j3]
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Vittorio Ferrari, Daniele Marioli, Andrea Taroni:
Improving the accuracy and operating range of quartz microbalance sensors by a purposely designed oscillator circuit. IEEE Trans. Instrum. Meas. 50(5): 1119-1122 (2001)
[c2]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Real-time affine region tracking and coplanar grouping. CVPR (2) 2001: 226-233
[c1]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Markerless Augmented Reality with a Real-Time Affine Region Tracker. ISAR 2001: 87-96
2000
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Vittorio Ferrari, Daniele Marioli, Andrea Taroni:
Oscillator-based interface for measurand-plus-temperature readout from resistive bridge sensors. IEEE Trans. Instrum. Meas. 49(3): 585-590 (2000)

1990 – 1999

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1999
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Paolo L. Gatti, Vittorio Ferrari:
Applied structural and mechanical vibrations - theory, methods and measuring instrumentation. Taylor & Francis 1999, ISBN 978-0-419-22710-6, pp. I-XIV, 1-826
1998
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Vittorio Ferrari, Carla Ghidini, Daniele Marioli, Andrea Taroni:
Oscillator-based signal conditioning with improved linearity for resistive sensors. IEEE Trans. Instrum. Meas. 47(1): 293-298 (1998)

Coauthor Index

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