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ORCIDMichael Felsberg
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- affiliation: Linköping University, Sweden
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2020 – today
- 2024
[c149]Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. 3DV 2024: 148-157- [c148]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer Is What You Need for Vision and Language. AAAI 2024: 4713-4721 - [c147]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Steerers: A Framework for Rotation Equivariant Keypoint Descriptors. CVPR 2024: 4885-4895 - [c146]Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck:
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. CVPR 2024: 5620-5630 - [c145]Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
RoMa: Robust Dense Feature Matching. CVPR 2024: 19790-19800 - [c144]Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman H. Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan:
Composed Video Retrieval via Enriched Context and Discriminative Embeddings. CVPR 2024: 26886-26896 - [c143]Arvi Jonnarth, Jie Zhao, Michael Felsberg:
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning. ICML 2024 - [c142]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le:
On Learning Deep O(n)-Equivariant Hyperspheres. ICML 2024 - [c141]Arvi Jonnarth
, Yushan Zhang, Michael Felsberg:
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. WACV 2024: 999-1008 - [c140]Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu:
Leveraging the Power of Data Augmentation for Transformer-based Tracking. WACV 2024: 6455-6464 - [i65]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer is What You Need for Vision and Language. CoRR abs/2401.03540 (2024) - [i64]Muhammad Maaz, Hanoona Abdul Rasheed, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Tim Baldwin, Michael Felsberg, Fahad Shahbaz Khan:
PALO: A Polyglot Large Multimodal Model for 5B People. CoRR abs/2402.14818 (2024) - [i63]Omkar Thawakar, Ashmal Vayani, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Tim Baldwin, Eric P. Xing, Fahad Shahbaz Khan:
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT. CoRR abs/2402.16840 (2024) - [i62]Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg:
DiffSF: Diffusion Models for Scene Flow Estimation. CoRR abs/2403.05327 (2024) - [i61]Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman H. Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan:
Composed Video Retrieval via Enriched Context and Discriminative Embeddings. CoRR abs/2403.16997 (2024) - [i60]William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson:
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving. CoRR abs/2404.07762 (2024) - [i59]Arvi Jonnarth, Ola Johansson, Michael Felsberg:
Sim-to-real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning. CoRR abs/2406.04920 (2024) - [i58]Ioannis Athanasiadis, Shashi Nagarajan, Fredrik Lindsten, Michael Felsberg:
Prior Learning in Introspective VAEs. CoRR abs/2408.13805 (2024) - [i57]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Affine steerers for structured keypoint description. CoRR abs/2408.14186 (2024) - 2023
- [j36]Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg:
Recurrent Graph Neural Networks for Video Instance Segmentation. Int. J. Comput. Vis. 131(2): 471-495 (2023) - [j35]Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6552-6574 (2023) - [c139]Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg:
DKM: Dense Kernelized Feature Matching for Geometry Estimation. CVPR 2023: 17765-17775 - [c138]Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann:
Balanced Product of Calibrated Experts for Long-Tailed Recognition. CVPR 2023: 19967-19977 - [c137]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c136]Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg:
Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation. ICIP 2023: 326-330 - [c135]Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg:
GMSF: Global Matching Scene Flow. NeurIPS 2023 - [c134]Karl Holmquist, Lena Klasén, Michael Felsberg:
Evidential Deep Learning for Class-Incremental Semantic Segmentation. SCIA (2) 2023: 32-48 - [c133]William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. SCIA (1) 2023: 374-385 - [e6]Rikke Gade, Michael Felsberg, Joni-Kristian Kämäräinen:
Image Analysis - 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18-21, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13885, Springer 2023, ISBN 978-3-031-31434-6 [contents] - [e5]Rikke Gade, Michael Felsberg, Joni-Kristian Kämäräinen:
Image Analysis - 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18-21, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13886, Springer 2023, ISBN 978-3-031-31437-7 [contents] - [i56]William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. CoRR abs/2301.08965 (2023) - [i55]Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg:
Flow-guided Semi-supervised Video Object Segmentation. CoRR abs/2301.10492 (2023) - [i54]Arvi Jonnarth, Yushan Zhang, Michael Felsberg:
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. CoRR abs/2304.02621 (2023) - [i53]Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
RoMa: Revisiting Robust Losses for Dense Feature Matching. CoRR abs/2305.15404 (2023) - [i52]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le:
Deep Equivariant Hyperspheres. CoRR abs/2305.15613 (2023) - [i51]Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg:
GMSF: Global Matching Scene Flow. CoRR abs/2305.17432 (2023) - [i50]Emanuel Sanchez Aimar, Hannah Helgesen, Michael Felsberg, Marco Kuhlmann:
Align, Distill, and Augment Everything All at Once for Imbalanced Semi-Supervised Learning. CoRR abs/2306.04621 (2023) - [i49]Arvi Jonnarth, Jie Zhao, Michael Felsberg:
End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments. CoRR abs/2306.16978 (2023) - [i48]Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang:
Augment Features Beyond Color for Domain Generalized Segmentation. CoRR abs/2307.01703 (2023) - [i47]Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. CoRR abs/2308.08479 (2023) - [i46]Qiyu Sun, Huilin Chen, Meng Zheng, Ziyan Wu, Michael Felsberg, Yang Tang:
IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation. CoRR abs/2309.06282 (2023) - [i45]Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu:
Leveraging the Power of Data Augmentation for Transformer-based Tracking. CoRR abs/2309.08264 (2023) - [i44]Hannah Helgesen, Michael Felsberg, Jan-Åke Larsson:
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning. CoRR abs/2310.10629 (2023) - [i43]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Steerers: A framework for rotation equivariant keypoint descriptors. CoRR abs/2312.02152 (2023) - 2022
- [c132]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (29) 2022: 217-234 - [c131]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. ECCV (17) 2022: 338-355 - [c130]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c129]Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer. ECCV (29) 2022: 666-681 - [c128]Arvi Jonnarth, Michael Felsberg:
Importance Sampling Cams For Weakly-Supervised Segmentation. ICASSP 2022: 2639-2643 - [c127]Oliver Stromann, Seyed Alireza Razavi, Michael Felsberg:
Learning To Integrate Vision Data Into Road Network Data. ICASSP 2022: 4548-4552 - [c126]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Steerable 3D Spherical Neurons. ICML 2022: 15330-15339 - [c125]Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren:
VidHarm: A Clip Based Dataset for Harmful Content Detection. ICPR 2022: 1543-1549 - [i42]Johan Edstedt, Mårten Wadenbäck, Michael Felsberg:
Deep Kernelized Dense Geometric Matching. CoRR abs/2202.00667 (2022) - [i41]Oliver Stromann, Seyed Alireza Razavi, Michael Felsberg:
Visual Feature Encoding for GNNs on Road Networks. CoRR abs/2203.01187 (2022) - [i40]Arvi Jonnarth, Michael Felsberg, Yushan Zhang:
Activation-Based Sampling for Pixel- to Image-Level Aggregation in Weakly-Supervised Segmentation. CoRR abs/2203.12459 (2022) - [i39]Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer. CoRR abs/2203.13253 (2022) - [i38]Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann:
Balanced Product of Experts for Long-Tailed Recognition. CoRR abs/2206.05260 (2022) - [i37]Pavlo Melnyk, Andreas Robinson, Mårten Wadenbäck, Michael Felsberg:
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification. CoRR abs/2211.14456 (2022) - [i36]Karl Holmquist, Lena Klasén, Michael Felsberg:
Evidential Deep Learning for Class-Incremental Semantic Segmentation. CoRR abs/2212.02863 (2022) - 2021
- [j34]Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg:
Graph representation learning for road type classification. Pattern Recognit. 120: 108174 (2021) - [c124]Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Video Instance Segmentation with Recurrent Graph Neural Networks. GCPR 2021: 206-221 - [c123]Andreas Robinson, Abdelrahman Eldesokey, Michael Felsberg:
Distractor-Aware Video Object Segmentation. GCPR 2021: 222-234 - [c122]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Embed Me If You Can: A Geometric Perceptron. ICCV 2021: 1256-1264 - [c121]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c120]Gustav Häger, Mikael Persson, Michael Felsberg:
Predicting Disparity Distributions. ICRA 2021: 4363-4369 - [c119]Emil Brissman, Joakim Johnander, Michael Felsberg:
Predicting Signed Distance Functions for Visual Instance Segmentation. SAIS 2021: 1-6 - [c118]Karl Holmquist, Lena Klasén, Michael Felsberg:
Class-Incremental Learning for Semantic Segmentation - A study. SAIS 2021: 1-4 - [c117]Abdelrahman Eldesokey, Michael Felsberg:
Normalized Convolution Upsampling for Refined Optical Flow Estimation. VISIGRAPP (5: VISAPP) 2021: 742-752 - [i35]Abdelrahman Eldesokey, Michael Felsberg:
Normalized Convolution Upsampling for Refined Optical Flow Estimation. CoRR abs/2102.06979 (2021) - [i34]Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan:
Deep Gaussian Processes for Few-Shot Segmentation. CoRR abs/2103.16549 (2021) - [i33]Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg:
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control. CoRR abs/2104.03807 (2021) - [i32]Johan Edstedt, Johan Karlsson, Francisca Benavente, Anette Novak, Amanda Berg, Michael Felsberg:
Is this Harmful? Learning to Predict Harmfulness Ratings from Video. CoRR abs/2106.08323 (2021) - [i31]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Fully Steerable 3D Spherical Neurons. CoRR abs/2106.13863 (2021) - [i30]Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg:
Graph Representation Learning for Road Type Classification. CoRR abs/2107.07791 (2021) - [i29]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. CoRR abs/2110.03674 (2021) - [i28]Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook. CoRR abs/2112.02838 (2021) - [i27]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR abs/2112.03258 (2021) - [i26]Oliver Stromann, Seyed Alireza Razavi, Michael Felsberg:
Learning to integrate vision data into road network data. CoRR abs/2112.10624 (2021) - 2020
- [j33]Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan:
GPS-level accurate camera localization with HorizonNet. J. Field Robotics 37(6): 951-971 (2020) - [j32]Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Confidence Propagation through CNNs for Guided Sparse Depth Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2423-2436 (2020) - [c116]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CVPR 2020: 7404-7413 - [c115]Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson:
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. CVPR 2020: 12011-12020 - [c114]Amanda Berg, Michael Felsberg, Jörgen Ahlberg:
Unsupervised Adversarial Learning of Anomaly Detection in the Wild. ECAI 2020: 1002-1008 - [c113]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c112]Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. ECCV (2) 2020: 777-794 - [c111]Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg:
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control. ICPR 2020: 3947-3954 - [i25]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CoRR abs/2003.00908 (2020) - [i24]Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. CoRR abs/2003.11540 (2020) - [i23]Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson:
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. CoRR abs/2006.03349 (2020) - [i22]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Embed Me If You Can: A Geometric Perceptron. CoRR abs/2006.06507 (2020) - [i21]Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Learning Video Instance Segmentation with Recurrent Graph Neural Networks. CoRR abs/2012.03911 (2020)
2010 – 2019
- 2019
- [j31]Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion and appearance cues for visual tracking. Pattern Recognit. Lett. 124: 74-81 (2019) - [j30]Tobias Klamt, Malgorzata Kamedula, Hakan Karaoguz, Navvab Kashiri, Arturo Laurenzi, Christian Lenz, Daniele Leonardis, Enrico Mingo Hoffman, Luca Muratore, Dmytro Pavlichenko, Francesco Porcini, Diego Rodriguez, Zeyu Ren, Fabian Schilling, Max Schwarz, Massimiliano Solazzi, Michael Felsberg, Antonio Frisoli, Michael Gustmann, Patric Jensfelt, Klas Nordberg, Juergen Rossmann, Lorenzo Baccelliere, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke, Xi Chen, Domenico Chiaradia, Torben Cichon, Massimiliano Gabardi, Paolo Guria, Karl Holmquist:
Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System. IEEE Robotics Autom. Mag. 26(4): 59-72 (2019) - [c110]Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CVPR 2019: 4660-4669 - [c109]Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-To-End Video Object Segmentation. CVPR 2019: 8953-8962 - [c108]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c107]Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg:
Semi-Automatic Annotation of Objects in Visual-Thermal Video. ICCV Workshops 2019: 2242-2251 - [e4]Michael Felsberg, Per-Erik Forssén, Ida-Maria Sintorn, Jonas Unger:
Image Analysis - 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11-13, 2019, Proceedings. Lecture Notes in Computer Science 11482, Springer 2019, ISBN 978-3-030-20204-0 [contents] - [i20]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Online Learning for Fast Video Object Segmentation. CoRR abs/1904.08630 (2019) - [i19]Amanda Berg, Jörgen Ahlberg, Michael Felsberg:
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training. CoRR abs/1905.11034 (2019) - [i18]Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere, Xi Chen, Domenico Chiaradia, Torben Cichon, Massimiliano Gabardi, Paolo Guria, Karl Holmquist, Malgorzata Kamedula, Hakan Karaoguz, Navvab Kashiri, Arturo Laurenzi, Christian Lenz, Daniele Leonardis, Enrico Mingo Hoffman, Luca Muratore, Dmytro Pavlichenko, Francesco Porcini, Zeyu Ren, Fabian Schilling, Max Schwarz, Massimiliano Solazzi, Michael Felsberg, Antonio Frisoli, Michael Gustmann, Patric Jensfelt, Klas Nordberg, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke:
Flexible Disaster Response of Tomorrow - Final Presentation and Evaluation of the CENTAURO System. CoRR abs/1909.08812 (2019) - 2018
- [b2]Michael Felsberg:
Probabilistic and Biologically Inspired Feature Representations. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00694-4 - [j29]Kristoffer Öfjäll, Michael Felsberg:
Approximative Coding Methods for Channel Representations. J. Math. Imaging Vis. 60(6): 929-940 (2018) - [j28]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29(1): 55-71 (2018) - [c106]Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Combining Local and Global Models for Robust Re-detection. AVSS 2018: 1-6 - [c105]Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Propagating Confidences through CNNs for Sparse Data Regression. BMVC 2018: 14 - [c104]Amanda Berg, Jörgen Ahlberg, Michael Felsberg:
Generating Visible Spectrum Images From Thermal Infrared. CVPR Workshops 2018: 1143-1152 - [c103]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CVPR 2018: 3829-3837 - [c102]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c101]Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
On the Optimization of Advanced DCF-Trackers. ECCV Workshops (1) 2018: 54-69 - [c100]Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. ECCV (2) 2018: 493-509 - [c99]Bertil Grelsson, Michael Felsberg:
Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs). ICPR 2018: 517-522 - [c98]Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan:
HorizonNet for visual terrain navigation. IPAS 2018: 149-155 - [c97]Karl Holmquist, Oeniz Senel, Michael Felsberg:
Computing a Collision-Free Path Using the Monogenic Scale Space. IROS 2018: 8097-8102 - [c96]Gustav Häger, Michael Felsberg, Fahad Shahbaz Khan:
Countering Bias in Tracking Evaluations. VISIGRAPP (5: VISAPP) 2018: 581-587 - [i17]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CoRR abs/1804.01495 (2018) - [i16]Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. CoRR abs/1804.06833 (2018) - [i15]Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Propagating Confidences through CNNs for Sparse Data Regression. CoRR abs/1805.11913 (2018) - [i14]Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Confidence Propagation through CNNs for Guided Sparse Depth Regression. CoRR abs/1811.01791 (2018) - [i13]Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CoRR abs/1811.07628 (2018) - [i12]Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-to-end Video Object Segmentation. CoRR abs/1811.11611 (2018) - 2017
- [j27]Tahir Nawaz, Amanda Berg, James M. Ferryman, Jörgen Ahlberg, Michael Felsberg:
Effective evaluation of privacy protection techniques in visible and thermal imagery. J. Electronic Imaging 26(5): 51408 (2017) - [j26]Freddie Åström, Michael Felsberg, George Baravdish:
Mapping-Based Image Diffusion. J. Math. Imaging Vis. 57(3): 293-323 (2017) - [j25]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1561-1575 (2017) - [c95]Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking. CAIP (1) 2017: 55-67 - [c94]Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CAIP (1) 2017: 95-107 - [c93]Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Ellipse Detection for Visual Cyclists Analysis "In the Wild". CAIP (1) 2017: 319-331 - [c92]Andreas Robinson, Mikael Persson, Michael Felsberg:
Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras. CAIP (2) 2017: 342-353 - [c91]Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. CVPR 2017: 6931-6939 - [c90]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [e3]Michael Felsberg, Anders Heyden, Norbert Krüger:
Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10424, Springer 2017, ISBN 978-3-319-64688-6 [contents] - [e2]Michael Felsberg, Anders Heyden, Norbert Krüger:
Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10425, Springer 2017, ISBN 978-3-319-64697-8 [contents] - [i11]Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CoRR abs/1705.03428 (2017) - [i10]Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators. CoRR abs/1706.02888 (2017) - 2016
- [j24]Bertil Grelsson, Michael Felsberg, Folke Isaksson:
Highly Accurate Attitude Estimation via Horizon Detection. J. Field Robotics 33(7): 967-993 (2016) - [j23]Rama Chellappa, Anders Heyden, Denis Laurendeau, Michael Felsberg, Magnus Borga:
Special issue on ICPR 2014 awarded papers. Pattern Recognit. Lett. 72: 1-3 (2016) - [j22]Amanda Berg, Jörgen Ahlberg, Michael Felsberg:
Enhanced analysis of thermographic images for monitoring of district heat pipe networks. Pattern Recognit. Lett. 83: 215-223 (2016) - [c89]Amanda Berg, Jörgen Ahlberg, Michael Felsberg:
Channel Coded Distribution Field Tracking for Thermal Infrared Imagery. CVPR Workshops 2016: 1248-1256 - [c88]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR 2016: 1430-1438 - [c87]Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
A Probabilistic Framework for Color-Based Point Set Registration. CVPR 2016: 1818-1826 - [c86]Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg:
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV (5) 2016: 472-488 - [c85]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c84]Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c83]Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
Aligning the dissimilar: A probabilistic method for feature-based point set registration. ICPR 2016: 247-252 - [c82]Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion features for visual tracking. ICPR 2016: 1243-1248 - [c81]Gustav Häger, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Piotr Rudol, Patrick Doherty:
Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV. ISVC (1) 2016: 557-568 - [c80]Kristoffer Öfjäll, Michael Felsberg, Andreas Robinson:
Visual autonomous road following by symbiotic online learning. Intelligent Vehicles Symposium 2016: 136-143 - [i9]Erik Jonsson, Michael Felsberg:
Efficient Robust Mean Value Calculation of 1D Features. CoRR abs/1601.08003 (2016) - [i8]Kristoffer Öfjäll, Michael Felsberg:
Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game. CoRR abs/1604.00975 (2016) - [i7]Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg:
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. CoRR abs/1608.03773 (2016) - [i6]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. CoRR abs/1608.05571 (2016) - [i5]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CoRR abs/1609.06118 (2016) - [i4]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. CoRR abs/1609.06141 (2016) - [i3]Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. CoRR abs/1611.09224 (2016) - [i2]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR abs/1612.04884 (2016) - [i1]Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Deep Motion Features for Visual Tracking. CoRR abs/1612.06615 (2016) - 2015
- [j21]Michael Felsberg, Kristoffer Öfjäll, Reiner Lenz:
Unbiased Decoding of Biologically Motivated Visual Feature Descriptors. Frontiers Robotics AI 2: 20 (2015) - [j20]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Compact color-texture description for texture classification. Pattern Recognit. Lett. 51: 16-22 (2015) - [c79]Amanda Berg, Jörgen Ahlberg, Michael Felsberg:
A thermal Object Tracking benchmark. AVSS 2015: 1-6 - [c78]Freddie Åström, Michael Felsberg, Hanno Scharr:
Adaptive sharpening of multimodal distributions. CVCS 2015: 1-4 - [c77]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. ICCV 2015: 4310-4318 - [c76]Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Luka Cehovin, Gustavo Fernández, Tomás Vojír, Gustav Häger, Georg Nebehay, Roman P. Pflugfelder:
The Visual Object Tracking VOT2015 Challenge Results. ICCV Workshops 2015: 564-586 - [c75]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Convolutional Features for Correlation Filter Based Visual Tracking. ICCV Workshops 2015: 621-629 - [c74]Michael Felsberg, Amanda Berg, Gustav Häger, Jörgen Ahlberg, Matej Kristan, Jiri Matas, Ales Leonardis, Luka Cehovin, Gustavo Fernández, Tomás Vojír, Georg Nebehay, Roman P. Pflugfelder:
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. ICCV Workshops 2015: 639-651 - [c73]Mikael Persson, Tommaso Piccini, Michael Felsberg, Rudolf Mester:
Robust stereo visual odometry from monocular techniques. Intelligent Vehicles Symposium 2015: 686-691 - [c72]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Coloring Channel Representations for Visual Tracking. SCIA 2015: 117-129 - [c71]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Deep Semantic Pyramids for Human Attributes and Action Recognition. SCIA 2015: 341-353 - [c70]Giulia Meneghetti, Martin Danelljan, Michael Felsberg, Klas Nordberg:
Image Alignment for Panorama Stitching in Sparsely Structured Environments. SCIA 2015: 428-439 - [c69]Amanda Berg, Kristoffer Öfjäll, Jörgen Ahlberg, Michael Felsberg:
Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera. SCIA 2015: 492-503 - 2014
- [j19]Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer, Michael Felsberg:
Painting-91: a large scale database for computational painting categorization. Mach. Vis. Appl. 25(6): 1385-1397 (2014) - [j18]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta:
Semantic Pyramids for Gender and Action Recognition. IEEE Trans. Image Process. 23(8): 3633-3645 (2014) - [c68]Freddie Åström, Michael Felsberg:
On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising. ACCV Workshops (2) 2014: 16-30 - [c67]Vasileios Zografos, Reiner Lenz, Erik Ringaby, Michael Felsberg, Klas Nordberg:
Fast Segmentation of Sparse 3D Point Trajectories Using Group Theoretical Invariants. ACCV (4) 2014: 675-691 - [c66]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Accurate Scale Estimation for Robust Visual Tracking. BMVC 2014 - [c65]Kristoffer Öfjäll, Michael Felsberg:
Biologically Inspired Online Learning of Visual Autonomous Driving. BMVC 2014 - [c64]Johan Hedborg, Andreas Robinson, Michael Felsberg:
Robust Three-View Triangulation Done Fast. CVPR Workshops 2014: 152-157 - [c63]Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer:
Adaptive Color Attributes for Real-Time Visual Tracking. CVPR 2014: 1090-1097 - [c62]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c61]Kristoffer Öfjäll, Michael Felsberg:
Weighted Update and Comparison for Channel-Based Distribution Field Tracking. ECCV Workshops (2) 2014: 218-231 - [c60]Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty:
A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. ECCV Workshops (1) 2014: 223-237 - [c59]Tommaso Piccini, Mikael Persson, Klas Nordberg, Michael Felsberg, Rudolf Mester:
Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry. ECCV Workshops (2) 2014: 652-664 - [c58]Freddie Åström, George Baravdish, Michael Felsberg:
A Tensor Variational Formulation of Gradient Energy Total Variation. EMMCVPR 2014: 307-320 - [c57]Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg:
Scale Coding Bag-of-Words for Action Recognition. ICPR 2014: 1514-1519 - [c56]Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr:
Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion. VISAPP (1) 2014: 48-55 - 2013
- [j17]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg:
Coloring Action Recognition in Still Images. Int. J. Comput. Vis. 105(3): 205-221 (2013) - [j16]Vasileios Zografos, Reiner Lenz, Michael Felsberg:
The Weibull manifold in low-level image processing: An application to automatic image focusing. Image Vis. Comput. 31(5): 401-417 (2013) - [j15]Michael Felsberg, Fredrik Larsson, Johan Wiklund, Niclas Wadströmer, Jörgen Ahlberg:
Online Learning of Correspondences between Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 118-129 (2013) - [j14]David Windridge, Michael Felsberg, Affan Shaukat:
A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning. IEEE Trans. Cybern. 43(1): 155-169 (2013) - [c55]Fahad Shahbaz Khan, Joost van de Weijer, Sadiq Ali, Michael Felsberg:
Evaluating the Impact of Color on Texture Recognition. CAIP (1) 2013: 154-162 - [c54]Philipp Koschorrek, Tommaso Piccini, Per Oberg, Michael Felsberg, Lars Nielsen, Rudolf Mester:
A Multi-sensor Traffic Scene Dataset with Omnidirectional Video. CVPR Workshops 2013: 727-734 - [c53]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu:
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c52]Michael Felsberg:
Enhanced Distribution Field Tracking Using Channel Representations. ICCV Workshops 2013: 121-128 - [c51]Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström:
Targeted Iterative Filtering. SSVM 2013: 1-11 - [c50]Bertil Grelsson, Michael Felsberg:
Probabilistic Hough Voting for Attitude Estimation from Aerial Fisheye Images. SCIA 2013: 478-488 - [c49]Freddie Åström, Vasileios Zografos, Michael Felsberg:
Density Driven Diffusion. SCIA 2013: 718-730 - 2012
- [c48]Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Erik Ringaby:
Rolling shutter bundle adjustment. CVPR 2012: 1434-1441 - [c47]Freddie Åström, George Baravdish, Michael Felsberg:
On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising. ECCV (3) 2012: 215-228 - [p1]Michael Felsberg:
Adaptive Filtering Using Channel Representations. Mathematical Methods for Signal and Image Analysis and Representation 2012: 31-48 - 2011
- [j13]Michael Felsberg:
Autocorrelation-Driven Diffusion Filtering. IEEE Trans. Image Process. 20(7): 1797-1806 (2011) - [c46]Andreas Krebs, Johan Wiklund, Michael Felsberg:
Optimization of Quadrature Filters Based on the Numerical Integration of Improper Integrals. DAGM-Symposium 2011: 91-100 - [c45]Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén, Babette Dellen:
Channel Coding for Joint Colour and Depth Segmentation. DAGM-Symposium 2011: 306-315 - [c44]Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg:
Bicycle tracking using ellipse extraction. FUSION 2011: 1-8 - [c43]Johan Hedborg, Erik Ringaby, Per-Erik Forssén, Michael Felsberg:
Structure and motion estimation from rolling shutter video. ICCV Workshops 2011: 17-23 - [c42]Fredrik Larsson, Michael Felsberg:
Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition. SCIA 2011: 238-249 - [c41]Freddie Åström, Michael Felsberg, Reiner Lenz:
Color Persistent Anisotropic Diffusion of Images. SCIA 2011: 262-272 - [e1]Rudolf Mester, Michael Felsberg:
Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011. Proceedings. Lecture Notes in Computer Science 6835, Springer 2011, ISBN 978-3-642-23122-3 [contents] - 2010
- [c40]Liam F. Ellis, Michael Felsberg, Richard Bowden:
Affordance Mining: Forming Perception through Action. ACCV (4) 2010: 525-538 - [c39]Michael Felsberg:
Incremental Computation of Feature Hierarchies. DAGM-Symposium 2010: 523-532 - [c38]Michael Felsberg, Fredrik Larsson, Han Wang, Anders Ynnerman, Thomas B. Schön:
Torchlight Navigation. ICPR 2010: 302-306
2000 – 2009
- 2009
- [j12]Michael Felsberg, Sinan Kalkan, Norbert Krüger:
Continuous dimensionality characterization of image structures. Image Vis. Comput. 27(6): 628-636 (2009) - [j11]Michael Felsberg, Johan Wiklund, Gösta H. Granlund:
Exploratory learning structures in artificial cognitive systems. Image Vis. Comput. 27(11): 1671-1687 (2009) - [j10]Erik Jonsson, Michael Felsberg:
Efficient computation of channel-coded feature maps through piecewise polynomials. Image Vis. Comput. 27(11): 1688-1694 (2009) - [j9]Fredrik Larsson, Erik Jonsson, Michael Felsberg:
Simultaneously learning to recognize and control a low-cost robotic arm. Image Vis. Comput. 27(11): 1729-1739 (2009) - [c37]Fredrik Larsson, Michael Felsberg, Per-Erik Forssén:
Patch Contour Matching by Correlating Fourier Descriptors. DICTA 2009: 40-46 - [c36]Alain Pagani, Didier Stricker, Michael Felsberg:
Integral P-channels for fast and robust region matching. ICIP 2009: 213-216 - [c35]Michael Felsberg, Fredrik Larsson:
Learning Higher-Order Markov Models for Object Tracking in Image Sequences. ISVC (2) 2009: 184-195 - [c34]Johan Hedborg, Per-Erik Forssén, Michael Felsberg:
Fast and Accurate Structure and Motion Estimation. ISVC (1) 2009: 211-222 - [c33]Michael Felsberg:
Spatio-Featural Scale-Space. SSVM 2009: 808-819 - 2008
- [c32]Michael Felsberg:
A Novel Two-Step Method for CT Reconstruction. Bildverarbeitung für die Medizin 2008: 303-307 - [c31]Michael Felsberg:
On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering. DAGM-Symposium 2008: 436-445 - [c30]Michael Felsberg:
On second order operators and quadratic operators. ICPR 2008: 1-4 - 2007
- [j8]Remco Duits, Michael Felsberg, Gösta H. Granlund, Bart M. ter Haar Romeny:
Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group. Int. J. Comput. Vis. 72(1): 79-102 (2007) - [j7]Michael Felsberg, Reinhard Koch:
Editorial for the special issue on markerless real-time tracking for augmented reality image synthesis. J. Real Time Image Process. 2(2-3): 67-68 (2007) - [j6]Michael Felsberg, Johan Hedborg:
Real-time view-based pose recognition and interpolation for tracking initialization. J. Real Time Image Process. 2(2-3): 103-115 (2007) - [c29]Michael Felsberg:
Extending Graph-Cut to Continuous Value Domain Minimization. CRV 2007: 274-281 - [c28]Erik Jonsson, Michael Felsberg:
Accurate Interpolation in Appearance-Based Pose Estimation. SCIA 2007: 1-10 - [c27]Johan Skoglund, Michael Felsberg:
Covariance Estimation for SAD Block Matching. SCIA 2007: 374-382 - [c26]Michael Felsberg, Johan Hedborg:
Real-Time Visual Recognition of Objects and Scenes Using P-Channel Matching. SCIA 2007: 908-917 - 2006
- [j5]Michael Felsberg, Per-Erik Forssén, Hanno Scharr:
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 209-222 (2006) - [c25]Michael Felsberg, Gösta H. Granlund:
P-Channels: Robust Multivariate M-Estimation of Large Datasets. ICPR (3) 2006: 262-267 - [c24]Erik Jonsson, Michael Felsberg:
Correspondence-free Associative Learning. ICPR (2) 2006: 441-446 - [c23]Johan Skoglund, Michael Felsberg:
Evaluation of Subpixel Tracking Algorithms. ISVC (2) 2006: 374-382 - 2005
- [j4]Michael Felsberg, Remco Duits, Luc Florack:
The Monogenic Scale Space on a Rectangular Domain and its Features. Int. J. Comput. Vis. 64(2-3): 187-201 (2005) - [c22]Michael Felsberg:
Wiener Channel Smoothing: Robust Wiener Filtering of Images. DAGM-Symposium 2005: 468-475 - [c21]Michael Felsberg, Erik Jonsson:
Energy Tensors: Quadratic, Phase Invariant Image Operators. DAGM-Symposium 2005: 493-500 - [c20]Ullrich Köthe, Michael Felsberg:
Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor. Scale-Space 2005: 179-191 - [c19]Michael Felsberg, Ullrich Köthe:
GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives. Scale-Space 2005: 192-203 - [c18]Erik Jonsson, Michael Felsberg:
Reconstruction of Probability Density Functions from Channel Representations. SCIA 2005: 491-500 - 2004
- [j3]Michael Felsberg, Gerald Sommer:
The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space. J. Math. Imaging Vis. 21(1-2): 5-26 (2004) - [j2]Norbert Krüger, Michael Felsberg:
An explicit and compact coding of geometric and structural image information applied to stereo processing. Pattern Recognit. Lett. 25(8): 849-863 (2004) - [c17]Michael Felsberg, Gösta H. Granlund:
POI Detection Using Channel Clustering and the 2D Energy Tensor. DAGM-Symposium 2004: 103-110 - [c16]Michael Felsberg:
On the design of two-dimensional polar separable filters. EUSIPCO 2004: 417-420 - [c15]Michael Felsberg:
Optical Flow Estimation from Monogenic Phase. IWCM 2004: 1-13 - 2003
- [c14]Norbert Krüger, Michael Felsberg:
A continuous Formulation of intrinsic Dimension. BMVC 2003: 1-10 - [c13]Hanno Scharr, Michael Felsberg, Per-Erik Forssén:
Noise Adaptive Channel Smoothing of Low-Dose Images. CVPR Workshops 2003: 18 - [c12]Michael Felsberg, Norbert Krüger:
A Probabilistic Definition of Intrinsic Dimensionality for Images. DAGM-Symposium 2003: 140-147 - [c11]Michael Felsberg, Remco Duits, Luc Florack:
The Monogenic Scale Space on a Bounded Domain and Its Applications. Scale-Space 2003: 209-224 - [c10]Remco Duits, Michael Felsberg, Luc Florack, Bram Platel:
alpha Scale Spaces on a Bounded Domain. Scale-Space 2003: 494-510 - [c9]Michael Felsberg, Gösta H. Granlund:
Anisotropic Channel Filtering. SCIA 2003: 755-762 - 2002
- [b1]Michael Felsberg:
Low-level image processing with the structure multivector. University of Kiel, Germany, 2002, pp. 1-203 - [c8]Michael Felsberg:
Disparity from Monogenic Phase. DAGM-Symposium 2002: 248-256 - [c7]Michael Felsberg, Gerald Sommer:
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters. ECCV (1) 2002: 369-383 - [c6]Norbert Krüger, Michael Felsberg, Christian Gebken, Martin Pörksen:
An Explicit and Compact Coding of Geometric and Structural Information Applied to Stereo Processing. VMV 2002: 411-418 - 2001
- [j1]Michael Felsberg, Gerald Sommer:
The monogenic signal. IEEE Trans. Signal Process. 49(12): 3136-3144 (2001) - [c5]Michael Felsberg, Gerald Sommer:
Scale Adaptive Filtering Derived from the Laplace Equation. DAGM-Symposium 2001: 124-131 - 2000
- [c4]Michael Felsberg, Gerald Sommer:
The Multidimensional Isotropic Generalization of Quadrature Filters in Geometric Algebra. AFPAC 2000: 175-185 - [c3]Michael Felsberg, Gerald Sommer:
A New Extension of Linear Signal Processing for Estimating Local Properties and Detecting Features. DAGM-Symposium 2000: 195-202 - [c2]Michael Felsberg, Gerald Sommer:
Structure Multivector for Local Analysis of Images. Theoretical Foundations of Computer Vision 2000: 93-104
1990 – 1999
- 1999
- [c1]Michael Felsberg, Gerald Sommer:
Optimized Fast Algorithms for the Quaternionic Fourier Transform. CAIP 1999: 209-216
Coauthor Index
Luka Cehovin
aka: Luka Cehovin Zajc
aka: Luka Cehovin Zajc
[j36] [j35] [c137] [c132] [c130] [c124] [c121] [i34] [i29] [i28] [c116] [c113] [c112] [i25] [i24] [i21] [j31] [c110] [c109] [c108] [i20] [c106] [c103] [c102] [c101] [c100] [i17] [i16] [i13] [i12] [j25] [c95] [c94] [c91] [c90] [i11] [i10] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [i7] [i6] [i5] [i4] [i3] [i1] [c77] [c75] [c72] [c70] [c66] [c63] [c62] [c60]
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
[c144] [i64] [i63] [i61] [j35] [c132] [c131] [c129] [i39] [c121] [i34] [i29] [i28] [i27] [j33] [j32] [c116] [i25] [j31] [c110] [c109] [c108] [i20] [j28] [c106] [c105] [c103] [c102] [c101] [c100] [c98] [c96] [i17] [i16] [i15] [i14] [i13] [i12] [j25] [c95] [c94] [c93] [c91] [c90] [i11] [i10] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j20] [c77] [c75] [c72] [c71] [j19] [j18] [c66] [c63] [c62] [c60] [c57] [j17] [c55]
Jiri Matas
aka: Jirí Matas
aka: Jirí Matas