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ORCIDNuno Vasconcelos
Person information
- affiliation: University of California San Diego, La Jolla, CA, USA
- affiliation (PhD 2000): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
[c176]Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos:
Long-Tailed Anomaly Detection with Learnable Class Names. CVPR 2024: 12435-12446- [c175]Tz-Ying Wu, Chih-Hui Ho, Nuno Vasconcelos:
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification. CVPR 2024: 16531-16540 - [c174]Jiacheng Cheng, Nuno Vasconcelos:
Towards Calibrated Multi-Label Deep Neural Networks. CVPR 2024: 27579-27589 - [c173]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. ECCV (2) 2024: 39-56 - [i72]Zhen Wang, Yuelei Li, Jia Wan, Nuno Vasconcelos
:
Diffusion-based Data Augmentation for Object Counting Problems. CoRR abs/2401.13992 (2024) - [i71]Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos:
Long-Tailed Anomaly Detection with Learnable Class Names. CoRR abs/2403.20236 (2024) - [i70]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i69]Jiacheng Cheng, Hijung Valentina Shin, Nuno Vasconcelos, Bryan C. Russell, Fabian Caba Heilbron:
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval. CoRR abs/2405.03190 (2024) - [i68]Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos:
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation. CoRR abs/2407.19520 (2024) - [i67]Sepehr Dehdashtian, Ruozhen He, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, Vishnu Naresh Boddeti:
Fairness and Bias Mitigation in Computer Vision: A Survey. CoRR abs/2408.02464 (2024) - [i66]Deepak Sridhar, Nuno Vasconcelos:
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models. CoRR abs/2409.16535 (2024) - 2023
- [j46]Pei Wang, Nuno Vasconcelos:
A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9265-9283 (2023) - [c172]Pei Wang, Nuno Vasconcelos:
Towards Professional Level Crowd Annotation of Expert Domain Data. CVPR 2023: 3166-3175 - [c171]Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos:
Dense Network Expansion for Class Incremental Learning. CVPR 2023: 11858-11867 - [c170]Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos:
SViTT: Temporal Learning of Sparse Video-Text Transformers. CVPR 2023: 18919-18929 - [c169]Chih-Hui Ho, Ziheng Huang, Nayeon Kim, You-Suk Bae, Nuno Vasconcelos:
Tire defect detection with limited annotation. IRIACV 2023: 1-6 - [c168]Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos:
Toward Unsupervised Realistic Visual Question Answering. ICCV 2023: 15567-15578 - [c167]Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang:
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. ICCV 2023: 18345-18355 - [i65]Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos:
Toward Unsupervised Realistic Visual Question Answering. CoRR abs/2303.05068 (2023) - [i64]Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos:
Dense Network Expansion for Class Incremental Learning. CoRR abs/2303.12696 (2023) - [i63]Yuzhao Chen, Zonghuan Li, Zhiyuan Hu, Nuno Vasconcelos:
Taxonomic Class Incremental Learning. CoRR abs/2304.05547 (2023) - [i62]Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos:
SViTT: Temporal Learning of Sparse Video-Text Transformers. CoRR abs/2304.08809 (2023) - [i61]Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang:
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. CoRR abs/2304.14401 (2023) - [i60]Tz-Ying Wu, Chih-Hui Ho, Nuno Vasconcelos:
ProTeCt: Prompt Tuning for Hierarchical Consistency. CoRR abs/2306.02240 (2023) - [i59]Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos:
Single-Stage Visual Relationship Learning using Conditional Queries. CoRR abs/2306.05689 (2023) - [i58]Zhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos:
POP: Prompt Of Prompts for Continual Learning. CoRR abs/2306.08200 (2023) - [i57]Deepak Sridhar, Yunsheng Li, Nuno Vasconcelos:
SCHEME: Scalable Channer Mixer for Vision Transformers. CoRR abs/2312.00412 (2023) - 2022
- [c166]Brandon Leung, Chih-Hui Ho, Nuno Vasconcelos:
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction. CVPR Workshops 2022: 4079-4089 - [c165]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CVPR 2022: 5206-5216 - [c164]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR 2022: 9357-9366 - [c163]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CVPR 2022: 9591-9600 - [c162]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CVPR 2022: 10001-10010 - [c161]Jiacheng Cheng, Nuno Vasconcelos:
Calibrating Deep Neural Networks by Pairwise Constraints. CVPR 2022: 13699-13708 - [c160]Yi Li, Nuno Vasconcelos:
Improving Video Model Transfer with Dynamic Representation Learning. CVPR 2022: 19258-19269 - [c159]Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos:
YORO - Lightweight End to End Visual Grounding. ECCV Workshops (8) 2022: 3-23 - [c158]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos:
Should All Proposals Be Treated Equally in Object Detection? ECCV (25) 2022: 556-572 - [c157]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition. ECCV (24) 2022: 637-653 - [c156]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique, Nuno Vasconcelos:
Meta-learning over time for destination prediction tasks. SIGSPATIAL/GIS 2022: 45:1-45:10 - [c155]Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos:
Single-Stage Visual Relationship Learning using Conditional Queries. NeurIPS 2022 - [c154]Chih-Hui Ho, Nuno Vasconcelos:
DISCO: Adversarial Defense with Local Implicit Functions. NeurIPS 2022 - [i56]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR abs/2203.16089 (2022) - [i55]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CoRR abs/2203.16521 (2022) - [i54]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CoRR abs/2204.03634 (2022) - [i53]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CoRR abs/2206.00100 (2022) - [i52]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique, Nuno Vasconcelos:
Meta-Learning over Time for Destination Prediction Tasks. CoRR abs/2206.14801 (2022) - [i51]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos:
Should All Proposals be Treated Equally in Object Detection? CoRR abs/2207.03520 (2022) - [i50]Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos:
YORO - Lightweight End to End Visual Grounding. CoRR abs/2211.07912 (2022) - [i49]Chih-Hui Ho, Nuno Vasconcelos:
DISCO: Adversarial Defense with Local Implicit Functions. CoRR abs/2212.05630 (2022) - 2021
- [j45]Pedro Morgado, Yunsheng Li, José Costa Pereira, Mohammad J. Saberian, Nuno Vasconcelos:
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings. Int. J. Comput. Vis. 129(2): 419-438 (2021) - [j44]Zhaowei Cai, Nuno Vasconcelos:
Cascade R-CNN: High Quality Object Detection and Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1483-1498 (2021) - [c153]Pei Wang, Yijun Li, Nuno Vasconcelos:
Rethinking and Improving the Robustness of Image Style Transfer. CVPR 2021: 124-133 - [c152]Pei Wang, Kabir Nagrecha, Nuno Vasconcelos:
Gradient-Based Algorithms for Machine Teaching. CVPR 2021: 1387-1396 - [c151]Jiacheng Cheng, Nuno Vasconcelos:
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection. CVPR 2021: 1664-1673 - [c150]Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos:
IMAGINE: Image Synthesis by Image-Guided Model Inversion. CVPR 2021: 3681-3690 - [c149]Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos:
Dynamic Transfer for Multi-Source Domain Adaptation. CVPR 2021: 10998-11007 - [c148]Pedro Morgado, Nuno Vasconcelos, Ishan Misra:
Audio-Visual Instance Discrimination with Cross-Modal Agreement. CVPR 2021: 12475-12486 - [c147]Pedro Morgado, Ishan Misra, Nuno Vasconcelos:
Robust Audio-Visual Instance Discrimination. CVPR 2021: 12934-12945 - [c146]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Improving Image Recognition with Extremely Low FLOPs. ICCV 2021: 458-467 - [c145]Pei Wang, Nuno Vasconcelos:
A Machine Teaching Framework for Scalable Recognition. ICCV 2021: 4925-4934 - [c144]Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos:
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning. ICCV 2021: 5381-5391 - [c143]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. ICCV 2021: 8189-8198 - [c142]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. ICCV 2021: 12981-12991 - [c141]Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos:
Learning of Visual Relations: The Devil is in the Tails. ICCV 2021: 15384-15393 - [c140]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos:
Revisiting Dynamic Convolution via Matrix Decomposition. ICLR 2021 - [i48]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos:
Revisiting Dynamic Convolution via Matrix Decomposition. CoRR abs/2103.08756 (2021) - [i47]Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos:
Dynamic Transfer for Multi-Source Domain Adaptation. CoRR abs/2103.10583 (2021) - [i46]Pedro Morgado, Ishan Misra, Nuno Vasconcelos:
Robust Audio-Visual Instance Discrimination. CoRR abs/2103.15916 (2021) - [i45]Pei Wang, Yijun Li, Nuno Vasconcelos:
Rethinking and Improving the Robustness of Image Style Transfer. CoRR abs/2104.05623 (2021) - [i44]Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos:
IMAGINE: Image Synthesis by Image-Guided Model Inversion. CoRR abs/2104.05895 (2021) - [i43]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. CoRR abs/2104.07645 (2021) - [i42]Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos:
Sparse Pose Trajectory Completion. CoRR abs/2105.00125 (2021) - [i41]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition. CoRR abs/2105.00127 (2021) - [i40]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. CoRR abs/2105.00131 (2021) - [i39]Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua:
Semi-supervised Long-tailed Recognition using Alternate Sampling. CoRR abs/2105.00133 (2021) - [i38]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Improving Image Recognition with Extremely Low FLOPs. CoRR abs/2108.05894 (2021) - [i37]Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos:
Learning of Visual Relations: The Devil is in the Tails. CoRR abs/2108.09668 (2021) - [i36]Brandon Leung, Chih-Hui Ho, Nuno Vasconcelos:
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction. CoRR abs/2108.09911 (2021) - [i35]Brandon Leung, Chih-Hui Ho, Amir Persekian, David Orozco, Yen Chang, Erik Sandström, Bo Liu, Nuno Vasconcelos:
OOWL500: Overcoming Dataset Collection Bias in the Wild. CoRR abs/2108.10992 (2021) - [i34]Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos:
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning. CoRR abs/2110.04931 (2021) - 2020
- [j43]Zhaowei Cai, Mohammad J. Saberian, Nuno Vasconcelos:
Learning Complexity-Aware Cascades for Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2195-2211 (2020) - [j42]Mandar Dixit, Yunsheng Li, Nuno Vasconcelos:
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3102-3118 (2020) - [j41]Peng Jiang, Zhiyi Pan, Changhe Tu, Nuno Vasconcelos, Baoquan Chen, Jingliang Peng:
Super Diffusion for Salient Object Detection. IEEE Trans. Image Process. 29: 2903-2917 (2020) - [j40]Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein:
Robust Deep Sensing Through Transfer Learning in Cognitive Radio. IEEE Wirel. Commun. Lett. 9(1): 38-41 (2020) - [c139]Zhaowei Cai, Nuno Vasconcelos:
Rethinking Differentiable Search for Mixed-Precision Neural Networks. CVPR 2020: 2346-2355 - [c138]Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos:
Few-Shot Open-Set Recognition Using Meta-Learning. CVPR 2020: 8795-8804 - [c137]Pei Wang, Nuno Vasconcelos:
SCOUT: Self-Aware Discriminant Counterfactual Explanations. CVPR 2020: 8978-8987 - [c136]Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos:
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. CVPR 2020: 9087-9097 - [c135]Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos:
Explainable Object-Induced Action Decision for Autonomous Vehicles. CVPR 2020: 9520-9529 - [c134]Yi Li, Nuno Vasconcelos:
Background Data Resampling for Outlier-Aware Classification. CVPR 2020: 13215-13224 - [c133]Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos:
Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier. ECCV (8) 2020: 171-189 - [c132]Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos:
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection. ECCV (11) 2020: 230-247 - [c131]Chih-Hui Ho, Nuno Vasconcelos:
Contrastive Learning with Adversarial Examples. NeurIPS 2020 - [c130]Pedro Morgado, Yi Li, Nuno Vasconcelos:
Learning Representations from Audio-Visual Spatial Alignment. NeurIPS 2020 - [i33]Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos:
Explainable Object-induced Action Decision for Autonomous Vehicles. CoRR abs/2003.09405 (2020) - [i32]Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos:
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. CoRR abs/2003.12735 (2020) - [i31]Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos:
Volumetric Attention for 3D Medical Image Segmentation and Detection. CoRR abs/2004.01997 (2020) - [i30]Zhaowei Cai, Nuno Vasconcelos:
Rethinking Differentiable Search for Mixed-Precision Neural Networks. CoRR abs/2004.05795 (2020) - [i29]Pei Wang, Nuno Vasconcelos:
SCOUT: Self-aware Discriminant Counterfactual Explanations. CoRR abs/2004.07769 (2020) - [i28]Pedro Morgado, Nuno Vasconcelos, Ishan Misra:
Audio-Visual Instance Discrimination with Cross-Modal Agreement. CoRR abs/2004.12943 (2020) - [i27]Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos:
Few-Shot Open-Set Recognition using Meta-Learning. CoRR abs/2005.13713 (2020) - [i26]Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos:
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier. CoRR abs/2007.09898 (2020) - [i25]Pedro Morgado, Yunsheng Li, José Costa Pereira, Mohammad J. Saberian, Nuno Vasconcelos:
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings. CoRR abs/2007.13912 (2020) - [i24]Chih-Hui Ho, Nuno Vasconcelos:
Contrastive Learning with Adversarial Examples. CoRR abs/2010.12050 (2020) - [i23]Pedro Morgado, Yi Li, Nuno Vasconcelos:
Learning Representations from Audio-Visual Spatial Alignment. CoRR abs/2011.01819 (2020) - [i22]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Towards Image Recognition with Extremely Low FLOPs. CoRR abs/2011.12289 (2020)
2010 – 2019
- 2019
- [j39]Arya Iranmehr, Hamed Masnadi-Shirazi, Nuno Vasconcelos:
Cost-sensitive support vector machines. Neurocomputing 343: 50-64 (2019) - [j38]Mohammad J. Saberian, Nuno Vasconcelos:
Multiclass Boosting: Margins, Codewords, Losses, and Algorithms. J. Mach. Learn. Res. 20: 137:1-137:68 (2019) - [c129]Pedro Morgado, Nuno Vasconcelos:
NetTailor: Tuning the Architecture, Not Just the Weights. CVPR 2019: 3044-3054 - [c128]Yunsheng Li, Nuno Vasconcelos:
Efficient Multi-Domain Learning by Covariance Normalization. CVPR 2019: 5424-5433 - [c127]Yunsheng Li, Lu Yuan, Nuno Vasconcelos:
Bidirectional Learning for Domain Adaptation of Semantic Segmentation. CVPR 2019: 6936-6945 - [c126]Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos:
Towards Universal Object Detection by Domain Attention. CVPR 2019: 7289-7298 - [c125]Chih-Hui Ho, Brandon Leung, Erik Sandström, Yen Chang, Nuno Vasconcelos:
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks. CVPR 2019: 9229-9237 - [c124]Yi Li, Nuno Vasconcelos:
REPAIR: Removing Representation Bias by Dataset Resampling. CVPR 2019: 9572-9581 - [c123]Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos:
PIEs: Pose Invariant Embeddings. CVPR 2019: 12377-12386 - [c122]Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos:
Volumetric Attention for 3D Medical Image Segmentation and Detection. MICCAI (6) 2019: 175-184 - [c121]Pei Wang, Nuno Vasconcelos:
Deliberative Explanations: visualizing network insecurities. NeurIPS 2019: 1372-1383 - [i21]Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos:
Towards Universal Object Detection by Domain Attention. CoRR abs/1904.04402 (2019) - [i20]Yi Li, Nuno Vasconcelos:
REPAIR: Removing Representation Bias by Dataset Resampling. CoRR abs/1904.07911 (2019) - [i19]Yunsheng Li, Lu Yuan, Nuno Vasconcelos:
Bidirectional Learning for Domain Adaptation of Semantic Segmentation. CoRR abs/1904.10620 (2019) - [i18]Mandar Dixit, Yunsheng Li, Nuno Vasconcelos:
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. CoRR abs/1905.11539 (2019) - [i17]Zhaowei Cai, Nuno Vasconcelos:
Cascade R-CNN: High Quality Object Detection and Instance Segmentation. CoRR abs/1906.09756 (2019) - [i16]Yunsheng Li, Nuno Vasconcelos:
Efficient Multi-Domain Network Learning by Covariance Normalization. CoRR abs/1906.10267 (2019) - [i15]Pedro Morgado, Nuno Vasconcelos:
NetTailor: Tuning the Architecture, Not Just the Weights. CoRR abs/1907.00274 (2019) - [i14]Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein:
Robust Deep Sensing Through Transfer Learning in Cognitive Radio. CoRR abs/1908.00658 (2019) - 2018
- [c120]Zhaowei Cai, Nuno Vasconcelos:
Cascade R-CNN: Delving Into High Quality Object Detection. CVPR 2018: 6154-6162 - [c119]Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos:
Feature Space Transfer for Data Augmentation. CVPR 2018: 9090-9098 - [c118]Pei Wang, Nuno Vasconcelos:
Towards Realistic Predictors. ECCV (13) 2018: 37-53 - [c117]Yingwei Li, Yi Li, Nuno Vasconcelos:
RESOUND: Towards Action Recognition Without Representation Bias. ECCV (6) 2018: 520-535 - [c116]Pedro Morgado, Nuno Vasconcelos, Timothy R. Langlois, Oliver Wang:
Self-Supervised Generation of Spatial Audio for 360° Video. NeurIPS 2018: 360-370 - [i13]Bo Liu, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos:
Feature Space Transfer for Data Augmentation. CoRR abs/1801.04356 (2018) - [i12]Pedro Morgado, Nuno Vasconcelos, Timothy R. Langlois, Oliver Wang:
Self-Supervised Generation of Spatial Audio for 360 Video. CoRR abs/1809.02587 (2018) - [i11]Peng Jiang, Zhiyi Pan, Nuno Vasconcelos, Baoquan Chen, Jingliang Peng:
Super Diffusion for Salient Object Detection. CoRR abs/1811.09038 (2018) - 2017
- [j37]Weixin Li, Nuno Vasconcelos:
Complex Activity Recognition Via Attribute Dynamics. Int. J. Comput. Vis. 122(2): 334-370 (2017) - [c115]Pedro Morgado, Nuno Vasconcelos:
Semantically Consistent Regularization for Zero-Shot Recognition. CVPR 2017: 2037-2046 - [c114]Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute-Guided Augmentation. CVPR 2017: 3328-3336 - [c113]Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos:
Deep Learning with Low Precision by Half-Wave Gaussian Quantization. CVPR 2017: 5406-5414 - [c112]Yunsheng Li, Mandar Dixit, Nuno Vasconcelos:
Deep Scene Image Classification with the MFAFVNet. ICCV 2017: 5757-5765 - [i10]Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos:
Deep Learning with Low Precision by Half-wave Gaussian Quantization. CoRR abs/1702.00953 (2017) - [i9]Pedro Morgado, Nuno Vasconcelos:
Semantically Consistent Regularization for Zero-Shot Recognition. CoRR abs/1704.03039 (2017) - [i8]Zhaowei Cai, Nuno Vasconcelos:
Cascade R-CNN: Delving into High Quality Object Detection. CoRR abs/1712.00726 (2017) - 2016
- [j36]Yi Hong, Roland Kwitt, Nikhil Singh, Nuno Vasconcelos, Marc Niethammer:
Parametric Regression on the Grassmannian. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2284-2297 (2016) - [j35]Junwei Han, Ling Shao, Nuno Vasconcelos, Jungong Han, Dong Xu:
Guest Editorial Special Section on Visual Saliency Computing and Learning. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1118-1121 (2016) - [c111]Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li:
Boosted Convolutional Neural Networks. BMVC 2016 - [c110]Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno Vasconcelos:
VLAD3: Encoding Dynamics of Deep Features for Action Recognition. CVPR 2016: 1951-1960 - [c109]Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos:
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. ECCV (4) 2016: 354-370 - [c108]Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan:
Peak-Piloted Deep Network for Facial Expression Recognition. ECCV (2) 2016: 425-442 - [c107]Marian George, Mandar Dixit, Gábor Zogg, Nuno Vasconcelos:
Semantic Clustering for Robust Fine-Grained Scene Recognition. ECCV (1) 2016: 783-798 - [c106]Zhaowei Cai, Matthew Jacobsen, Nuno Vasconcelos:
Pedestrian detection aided by temporal prior. ISOCC 2016: 175-176 - [c105]Mohammad J. Saberian, José Costa Pereira, Nuno Vasconcelos, Can Xu:
Large Margin Discriminant Dimensionality Reduction in Prediction Space. NIPS 2016: 1480-1488 - [c104]Mandar Dixit, Nuno Vasconcelos:
Object based Scene Representations using Fisher Scores of Local Subspace Projections. NIPS 2016: 2811-2819 - [c103]Francisca Vasconcelos, Nuno Vasconcelos:
Person-following UAVs. WACV 2016: 1-9 - [i7]Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Nuno Vasconcelos, Shuicheng Yan:
Peak-Piloted Deep Network for Facial Expression Recognition. CoRR abs/1607.06997 (2016) - [i6]Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos:
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. CoRR abs/1607.07155 (2016) - [i5]Marian George, Mandar Dixit, Gábor Zogg, Nuno Vasconcelos:
Semantic Clustering for Robust Fine-Grained Scene Recognition. CoRR abs/1607.07614 (2016) - [i4]Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute Guided Augmentation. CoRR abs/1612.02559 (2016) - 2015
- [j34]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
A view of margin losses as regularizers of probability estimates. J. Mach. Learn. Res. 16: 2751-2795 (2015) - [c102]Mandar Dixit, Si Chen, Dashan Gao, Nikhil Rasiwasia, Nuno Vasconcelos:
Scene classification with semantic Fisher vectors. CVPR 2015: 2974-2983 - [c101]Weixin Li, Nuno Vasconcelos:
Multiple instance learning for soft bags via top instances. CVPR 2015: 4277-4285 - [c100]Sayed Hossein Khatoonabadi, Nuno Vasconcelos, Ivan V. Bajic, Yufeng Shan:
How many bits does it take for a stimulus to be salient? CVPR 2015: 5501-5510 - [c99]Peng Jiang, Nuno Vasconcelos, Jingliang Peng:
Generic Promotion of Diffusion-Based Salient Object Detection. ICCV 2015: 217-225 - [c98]Zhaowei Cai, Mohammad J. Saberian, Nuno Vasconcelos:
Learning Complexity-Aware Cascades for Deep Pedestrian Detection. ICCV 2015: 3361-3369 - [c97]Bo Liu, Nuno Vasconcelos:
Bayesian Model Adaptation for Crowd Counts. ICCV 2015: 4175-4183 - [e1]Alexander G. Hauptmann, Chong-Wah Ngo, Xiangyang Xue, Yu-Gang Jiang, Cees Snoek, Nuno Vasconcelos:
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, Shanghai, China, June 23-26, 2015. ACM 2015, ISBN 978-1-4503-3274-3 [contents] - [i3]Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer:
Parametric Regression on the Grassmannian. CoRR abs/1505.03832 (2015) - [i2]Zhaowei Cai, Mohammad J. Saberian, Nuno Vasconcelos:
Learning Complexity-Aware Cascades for Deep Pedestrian Detection. CoRR abs/1507.05348 (2015) - 2014
- [j33]José Costa Pereira, Nuno Vasconcelos:
Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems. Comput. Vis. Image Underst. 124: 123-135 (2014) - [j32]Sunhyoung Han, Nuno Vasconcelos:
Object recognition with hierarchical discriminant saliency networks. Frontiers Comput. Neurosci. 8: 109 (2014) - [j31]Mohammad J. Saberian, Nuno Vasconcelos:
Boosting algorithms for detector cascade learning. J. Mach. Learn. Res. 15(1): 2569-2605 (2014) - [j30]Weixin Li, Vijay Mahadevan, Nuno Vasconcelos:
Anomaly Detection and Localization in Crowded Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 18-32 (2014) - [j29]José Costa Pereira, Emanuele Coviello, Gabriel Doyle, Nikhil Rasiwasia, Gert R. G. Lanckriet, Roger Levy, Nuno Vasconcelos:
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 521-535 (2014) - [j28]Zhaowei Cai, Longyin Wen, Zhen Lei, Nuno Vasconcelos, Stan Z. Li:
Robust Deformable and Occluded Object Tracking With Dynamic Graph. IEEE Trans. Image Process. 23(12): 5497-5509 (2014) - [c96]Can Xu, Nuno Vasconcelos:
Learning Receptive Fields for Pooling from Tensors of Feature Response. CVPR 2014: 835-842 - [c95]Song Lu, Vijay Mahadevan, Nuno Vasconcelos:
Learning Optimal Seeds for Diffusion-Based Salient Object Detection. CVPR 2014: 2790-2797 - [c94]Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer:
Geodesic Regression on the Grassmannian. ECCV (2) 2014: 632-646 - [c93]Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos:
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. ICML 2014: 586-594 - [c92]Mohammad J. Saberian, Nuno Vasconcelos:
Multi-Resolution Cascades for Multiclass Object Detection. NIPS 2014: 2186-2194 - 2013
- [j27]Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward:
Localizing target structures in ultrasound video - A phantom study. Medical Image Anal. 17(7): 712-722 (2013) - [j26]Vijay Mahadevan, Nuno Vasconcelos:
Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 541-554 (2013) - [j25]Nikhil Rasiwasia, Nuno Vasconcelos:
Latent Dirichlet Allocation Models for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2665-2679 (2013) - [c91]Weixin Li, Qian Yu, Harpreet S. Sawhney, Nuno Vasconcelos:
Recognizing Activities via Bag of Words for Attribute Dynamics. CVPR 2013: 2587-2594 - [c90]Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos:
Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification. ICCV 2013: 2672-2679 - [c89]Weixin Li, Qian Yu, Ajay Divakaran, Nuno Vasconcelos:
Dynamic Pooling for Complex Event Recognition. ICCV 2013: 2728-2735 - [p1]Antoni B. Chan, Nuno Vasconcelos:
Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties. Modeling, Simulation and Visual Analysis of Crowds 2013: 295-324 - 2012
- [j24]Nuno Vasconcelos, Manuela Vasconcelos:
Minimum Probability of Error Image Retrieval: From Visual Features to Image Semantics. Found. Trends Signal Process. 5(4): 265-389 (2012) - [j23]Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia, Andreas Uhl, Bradley C. Davis, Michael Häfner, Friedrich Wrba:
Endoscopic image analysis in semantic space. Medical Image Anal. 16(7): 1415-1422 (2012) - [j22]Nikhil Rasiwasia, Nuno Vasconcelos:
Holistic Context Models for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 902-917 (2012) - [j21]Mohammad Javad Saberian, Nuno Vasconcelos:
Learning Optimal Embedded Cascades. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 2005-2018 (2012) - [j20]Antoni B. Chan, Nuno Vasconcelos:
Counting People With Low-Level Features and Bayesian Regression. IEEE Trans. Image Process. 21(4): 2160-2177 (2012) - [c88]Mohammad J. Saberian, Nuno Vasconcelos:
Boosting algorithms for simultaneous feature extraction and selection. CVPR 2012: 2448-2455 - [c87]José Costa Pereira, Nuno Vasconcelos:
On the regularization of image semantics by modal expansion. CVPR 2012: 3093-3099 - [c86]Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia:
Scene Recognition on the Semantic Manifold. ECCV (4) 2012: 359-372 - [c85]Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward:
Recognition in Ultrasound Videos: Where Am I? MICCAI (3) 2012: 83-90 - [c84]Weixin Li, Nuno Vasconcelos:
Recognizing Activities by Attribute Dynamics. NIPS 2012: 1115-1123 - [c83]Vijay Mahadevan, Nuno Vasconcelos:
On the connections between saliency and tracking. NIPS 2012: 1673-1681 - [i1]Hamed Masnadi-Shirazi, Nuno Vasconcelos, Arya Iranmehr:
Cost-Sensitive Support Vector Machines. CoRR abs/1212.0975 (2012) - 2011
- [j19]Antoni B. Chan, Vijay Mahadevan, Nuno Vasconcelos:
Generalized Stauffer-Grimson background subtraction for dynamic scenes. Mach. Vis. Appl. 22(5): 751-766 (2011) - [j18]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
Cost-Sensitive Boosting. IEEE Trans. Pattern Anal. Mach. Intell. 33(2): 294-309 (2011) - [c82]Vijay Mahadevan, Nuno Vasconcelos:
Automatic initialization and tracking using attentional mechanisms. CVPR Workshops 2011: 15-20 - [c81]Sunhyoung Han, Nuno Vasconcelos:
Biologically plausible detection of amorphous objects in the wild. CVPR Workshops 2011: 24-31 - [c80]Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos:
Adapted Gaussian models for image classification. CVPR 2011: 937-943 - [c79]Mohammad J. Saberian, Hamed Masnadi-Shirazi, Nuno Vasconcelos:
TaylorBoost: First and second-order boosting algorithms with explicit margin control. CVPR 2011: 2929-2934 - [c78]Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba:
Learning Pit Pattern Concepts for Gastroenterological Training. MICCAI (3) 2011: 280-287 - [c77]Vijay Mahadevan, Chi Wah Wong, José Costa Pereira, Tom Liu, Nuno Vasconcelos, Lawrence K. Saul:
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data. NIPS 2011: 918-926 - [c76]Mohammad J. Saberian, Nuno Vasconcelos:
Multiclass Boosting: Theory and Algorithms. NIPS 2011: 2124-2132 - 2010
- [j17]Vijay Mahadevan, Nuno Vasconcelos:
Spatiotemporal Saliency in Dynamic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 171-177 (2010) - [j16]Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen:
A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation. IEEE Trans. Image Process. 19(11): 2924-2934 (2010) - [c75]Hamed Masnadi-Shirazi, Vijay Mahadevan, Nuno Vasconcelos:
On the design of robust classifiers for computer vision. CVPR 2010: 779-786 - [c74]Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno Vasconcelos:
Anomaly detection in crowded scenes. CVPR 2010: 1975-1981 - [c73]Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen:
Motion vector refinement for FRUC using saliency and segmentation. ICME 2010: 778-783 - [c72]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
Risk minimization, probability elicitation, and cost-sensitive SVMs. ICML 2010: 759-766 - [c71]Nikhil Rasiwasia, José Costa Pereira, Emanuele Coviello, Gabriel Doyle, Gert R. G. Lanckriet, Roger Levy, Nuno Vasconcelos:
A new approach to cross-modal multimedia retrieval. ACM Multimedia 2010: 251-260 - [c70]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
Variable margin losses for classifier design. NIPS 2010: 1576-1584 - [c69]Kritika Muralidharan, Nuno Vasconcelos:
A biologically plausible network for the computation of orientation dominance. NIPS 2010: 1723-1731 - [c68]Mohammad J. Saberian, Nuno Vasconcelos:
Boosting Classifier Cascades. NIPS 2010: 2047-2055
2000 – 2009
- 2009
- [j15]Gustavo Carneiro, Nuno Vasconcelos:
Minimum Bayes error features for visual recognition. Image Vis. Comput. 27(1-2): 131-140 (2009) - [j14]Dashan Gao, Nuno Vasconcelos:
Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics. Neural Comput. 21(1): 239-271 (2009) - [j13]Manuela Vasconcelos, Nuno Vasconcelos:
Natural Image Statistics and Low-Complexity Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 228-244 (2009) - [j12]Dashan Gao, Sunhyoung Han, Nuno Vasconcelos:
Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 989-1005 (2009) - [j11]Antoni B. Chan, Nuno Vasconcelos:
Layered Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1862-1879 (2009) - [c67]Vijay Mahadevan, Nuno Vasconcelos:
Saliency-based discriminant tracking. CVPR 2009: 1007-1013 - [c66]Antoni B. Chan, Nuno Vasconcelos:
Variational layered dynamic textures. CVPR 2009: 1062-1069 - [c65]Nikhil Rasiwasia, Nuno Vasconcelos:
Holistic context modeling using semantic co-occurrences. CVPR 2009: 1889-1895 - [c64]Antoni B. Chan, Nuno Vasconcelos:
Bayesian Poisson regression for crowd counting. ICCV 2009: 545-551 - 2008
- [j10]Nuno Vasconcelos:
From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval. Computer 40(7): 20-26 (2008) - [j9]Antoni B. Chan, Nuno Vasconcelos:
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 909-926 (2008) - [c63]Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos:
Privacy preserving crowd monitoring: Counting people without people models or tracking. CVPR 2008 - [c62]Vijay Mahadevan, Nuno Vasconcelos:
Background subtraction in highly dynamic scenes. CVPR 2008 - [c61]Nikhil Rasiwasia, Nuno Vasconcelos:
Scene classification with low-dimensional semantic spaces and weak supervision. CVPR 2008 - [c60]Nikhil Rasiwasia, Nuno Vasconcelos:
A study of query by semantic example. CVPR Workshops 2008: 1-8 - [c59]Sunhyoung Han, Nuno Vasconcelos:
Object-Based Regions of Interest for Image Compression. DCC 2008: 132-141 - [c58]Sunhyoung Han, Nuno Vasconcelos:
Complex discriminant features for object classification. ICIP 2008: 1700-1703 - [c57]Nikhil Rasiwasia, Nuno Vasconcelos:
A systematic study of the role of context on image classification. ICIP 2008: 1720-1723 - [c56]Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang:
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. ICMLA 2008: 533-538 - [c55]Nikhil Rasiwasia, Nuno Vasconcelos:
Image retrieval using query by contextual example. Multimedia Information Retrieval 2008: 164-171 - [c54]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost. NIPS 2008: 1049-1056 - 2007
- [j8]Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos:
Supervised Learning of Semantic Classes for Image Annotation and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 394-410 (2007) - [j7]Nikhil Rasiwasia, Pedro J. Moreno, Nuno Vasconcelos:
Bridging the Gap: Query by Semantic Example. IEEE Trans. Multim. 9(5): 923-938 (2007) - [c53]Antoni B. Chan, Nuno Vasconcelos:
Classifying Video with Kernel Dynamic Textures. CVPR 2007 - [c52]Dashan Gao, Nuno Vasconcelos:
Discriminant Interest Points are Stable. CVPR 2007 - [c51]Dashan Gao, Nuno Vasconcelos:
Bottom-up saliency is a discriminant process. ICCV 2007: 1-6 - [c50]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
High Detection-rate Cascades for Real-Time Object Detection. ICCV 2007: 1-6 - [c49]Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet:
Direct convex relaxations of sparse SVM. ICML 2007: 145-153 - [c48]Hamed Masnadi-Shirazi, Nuno Vasconcelos:
Asymmetric boosting. ICML 2007: 609-619 - [c47]Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos:
The discriminant center-surround hypothesis for bottom-up saliency. NIPS 2007: 497-504 - [c46]Dashan Gao, Nuno Vasconcelos:
An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination. WAPCV 2007: 184-197 - 2006
- [c45]Nikhil Rasiwasia, Nuno Vasconcelos, Pedro J. Moreno:
Query by Semantic Example. CIVR 2006: 51-60 - [c44]Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro:
Weakly Supervised Top-down Image Segmentation. CVPR (1) 2006: 1001-1006 - [c43]Karl S. Ni, Sanjeev Kumar, Nuno Vasconcelos, Truong Q. Nguyen:
Single Image Superresolution Based on Support Vector Regression. ICASSP (2) 2006: 601-604 - [c42]Sunhyoung Han, Nuno Vasconcelos:
Image Compression using Object-Based Regions of Interest. ICIP 2006: 3097-3100 - 2005
- [j6]Nuno Vasconcelos:
Content-Based Image and Video Retrieval. Signal Process. 85(2): 231-232 (2005) - [j5]Nuno Vasconcelos, Andrew Lippman:
A multiresolution manifold distance for invariant image similarity. IEEE Trans. Multim. 7(1): 127-142 (2005) - [c41]Gustavo Carneiro, Nuno Vasconcelos:
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. CRV 2005: 253-260 - [c40]Dashan Gao, Nuno Vasconcelos:
An Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination. CVPR Workshops 2005: 84 - [c39]Gustavo Carneiro, Nuno Vasconcelos:
Formulating Semantic Image Annotation as a Supervised Learning Problem. CVPR (2) 2005: 163-168 - [c38]Dashan Gao, Nuno Vasconcelos:
Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes. CVPR (2) 2005: 282-287 - [c37]Antoni B. Chan, Nuno Vasconcelos:
Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes. CVPR (1) 2005: 846-851 - [c36]Antoni B. Chan, Nuno Vasconcelos:
Mixtures of Dynamic Textures. ICCV 2005: 641-647 - [c35]Antoni B. Chan, Nuno Vasconcelos:
Layered Dynamic Textures. NIPS 2005: 203-210 - [c34]Gustavo Carneiro, Nuno Vasconcelos:
A database centric view of semantic image annotation and retrieval. SIGIR 2005: 559-566 - 2004
- [j4]Nuno Vasconcelos:
On the efficient evaluation of probabilistic similarity functions for image retrieval. IEEE Trans. Inf. Theory 50(7): 1482-1496 (2004) - [j3]Nuno Vasconcelos:
Minimum probability of error image retrieval. IEEE Trans. Signal Process. 52(8): 2322-2336 (2004) - [c33]Nuno Vasconcelos, Manuela Vasconcelos:
Scalable Discriminant Feature Selection for Image Retrieval and Recognition. CVPR (2) 2004: 770-775 - [c32]Nuno Vasconcelos, Purdy Ho, Pedro J. Moreno:
The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition. ECCV (3) 2004: 430-441 - [c31]Dashan Gao, Nuno Vasconcelos:
Discriminant Saliency for Visual Recognition from Cluttered Scenes. NIPS 2004: 481-488 - 2003
- [c30]Nuno Vasconcelos:
Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition. CVPR (1) 2003: 762-772 - [c29]Nuno Vasconcelos:
A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval. ICIP (3) 2003: 741-744 - [c28]Pedro J. Moreno, Purdy Ho, Nuno Vasconcelos:
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. NIPS 2003: 1385-1392 - 2002
- [c27]Nuno Vasconcelos, Gustavo Carneiro:
What Is the Role of Independence for Visual Recognition? ECCV (1) 2002: 297-311 - [c26]Nuno Vasconcelos:
Exploiting group structure to improve retrieval accuracy and speed in image databases. ICIP (1) 2002: 980-983 - [c25]Nuno Vasconcelos:
Feature Selection by Maximum Marginal Diversity. NIPS 2002: 1351-1358 - 2001
- [j2]Nuno Vasconcelos, Andrew Lippman:
Empirical Bayesian Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 217-221 (2001) - [c24]Nuno Vasconcelos:
Image Indexing with Mixture Hierarchies. CVPR (1) 2001: 3-10 - [c23]Nuno Vasconcelos:
On the Complexity of Probabilistic Image Retrieval. ICCV 2001: 400-407 - [c22]Nuno Vasconcelos, Murat Kunt:
Content-based retrieval from image databases: current solutions and future directions. ICIP (3) 2001: 6-9 - 2000
- [j1]Nuno Vasconcelos, Andrew Lippman:
Statistical models of video structure for content analysis and characterization. IEEE Trans. Image Process. 9(1): 3-19 (2000) - [c21]Nuno Vasconcelos, Andrew Lippman:
A Probabilistic Architecture for Content-Based Image Retrieval. CVPR 2000: 1216-1221 - [c20]Nuno Vasconcelos, Andrew Lippman:
Learning Over Multiple Temporal Scales in Image Databases. ECCV (1) 2000: 33-47 - [c19]Nuno Vasconcelos, Andrew Lippman:
Feature Representations for Image Retrieval: Beyond the Color Histogram. IEEE International Conference on Multimedia and Expo (II) 2000: 899-902 - [c18]Nuno Vasconcelos, Andrew Lippman:
A Unifying View of Image Similarity. ICPR 2000: 1038-1041 - [c17]Nuno Vasconcelos, Andrew Lippman:
Bayesian Video Shot Segmentation. NIPS 2000: 1009-1015 - [c16]Nuno Vasconcelos, Andrew Lippman:
Bayesian representations and learning mechanisms for content-based image retrieval. Storage and Retrieval for Media Databases 2000: 43-54
1990 – 1999
- 1999
- [c15]Nuno Vasconcelos, Andrew Lippman:
Learning from User Feedback in Image Retrieval Systems. NIPS 1999: 977-986 - 1998
- [c14]Nuno Vasconcelos, Andrew Lippman:
A Spatiotemporal Motion Model for Video Summarization. CVPR 1998: 361-366 - [c13]Nuno Vasconcelos, Andrew Lippman:
A Bayesian Framework for Semantic Content Characterization. CVPR 1998: 566-571 - [c12]Nuno Vasconcelos, Andrew Lippman:
A Bayesian Framework for Content-Based Indexing and Retrieval. Data Compression Conference 1998: 580 - [c11]Nuno Vasconcelos, Andrew Lippman:
Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing. ICIP (3) 1998: 153-157 - [c10]Nuno Vasconcelos, Andrew Lippman:
Learning Mixture Hierarchies. NIPS 1998: 606-612 - 1997
- [c9]Nuno Vasconcelos, Andrew Lippman:
Empirical Bayesian EM-based Motion Segmentation. CVPR 1997: 527-532 - [c8]Nuno Vasconcelos, Andrew Lippman:
Library-based Coding: a Representation for Efficient Video Compression and Retrieval. Data Compression Conference 1997: 121-130 - [c7]Nuno Vasconcelos, Andrew Lippman:
Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content. ICIP (1) 1997: 25-28 - [c6]Nuno Vasconcelos, Frédéric Dufaux:
Pre and Post-Filtering for Low Bit-Rate Video Coding. ICIP (1) 1997: 291-294 - [c5]Nuno Vasconcelos, Andrew Lippman:
Content-Based Pre-Indexed Video. ICIP (2) 1997: 542-545 - [c4]Nuno Vasconcelos, Andrew Lippman:
Multiresolution Tangent Distance for Affine-invariant Classification. NIPS 1997: 843-849 - 1996
- [c3]Nuno Vasconcelos, Andrew Lippman:
Frame-free video. ICIP (3) 1996: 375-378 - 1995
- [c2]Nuno Vasconcelos, Andrew Lippman:
Spatiotemporal model-based optic flow estimation. ICIP 1995: 201-204 - 1994
- [c1]Nuno Vasconcelos, Andrew Lippman:
Library-based image coding. ICASSP (5) 1994: 489-492
Coauthor Index
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last updated on 2024-11-04 20:42 CET by the dblp team
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