Michael Felsberg

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 142

Top Venues

University of Kiel, Germany (PHD)

Education History

University of Kiel, Germany

PHD

Publications

Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu
Leveraging the Power of Data Augmentation for Transformer-based Tracking. WACV (2024)
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 (2024)
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg
SeTformer Is What You Need for Vision and Language. AAAI (2024)
Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. 3DV (2024)
Arvi Jonnarth, Ola Johansson, Michael Felsberg
Sim-to-real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning. CoRR (2024)
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg
SeTformer is What You Need for Vision and Language. CoRR (2024)
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 (2024)
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving. CoRR (2024)
Arvi Jonnarth, Yushan Zhang, Michael Felsberg
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. WACV (2024)
Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg
DiffSF: Diffusion Models for Scene Flow Estimation. CoRR (2024)
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 (2024)
Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg
Recurrent Graph Neural Networks for Video Instance Segmentation. Int. J. Comput. Vis. 131 (2) (2023)
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)
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg
Raw or Cooked? Object Detection on RAW Images. SCIA (1) (2023)
Arvi Jonnarth, Yushan Zhang, Michael Felsberg
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation. CoRR (2023)
Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu
Leveraging the Power of Data Augmentation for Transformer-based Tracking. CoRR (2023)
Hannah Helgesen, Michael Felsberg, Jan-Åke Larsson
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning. CoRR (2023)
Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang
Augment Features Beyond Color for Domain Generalized Segmentation. CoRR (2023)
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg
Raw or Cooked? Object Detection on RAW Images. CoRR (2023)
Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. CoRR (2023)
Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg
RoMa: Revisiting Robust Losses for Dense Feature Matching. CoRR (2023)
Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann
Balanced Product of Calibrated Experts for Long-Tailed Recognition. CVPR (2023)
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg
Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation. ICIP (2023)
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le
Deep Equivariant Hyperspheres. CoRR (2023)
Qiyu Sun, Huilin Chen, Meng Zheng, Ziyan Wu, Michael Felsberg, Yang Tang
IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation. CoRR (2023)
Arvi Jonnarth, Jie Zhao, Michael Felsberg
End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments. CoRR (2023)
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg
Flow-guided Semi-supervised Video Object Segmentation. CoRR (2023)
Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg
GMSF: Global Matching Scene Flow. NeurIPS (2023)
Emanuel Sanchez Aimar, Hannah Helgesen, Michael Felsberg, Marco Kuhlmann
Align, Distill, and Augment Everything All at Once for Imbalanced Semi-Supervised Learning. CoRR (2023)
Karl Holmquist, Lena Klasén, Michael Felsberg
Evidential Deep Learning for Class-Incremental Semantic Segmentation. SCIA (2) (2023)
Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg
DKM: Dense Kernelized Feature Matching for Geometry Estimation. CVPR (2023)
Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl
Steerers: A framework for rotation equivariant keypoint descriptors. CoRR (2023)
Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg
GMSF: Global Matching Scene Flow. CoRR (2023)
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) (2023)
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 (2022)
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 (24) (2022)
Pavlo Melnyk, Andreas Robinson, Mårten Wadenbäck, Michael Felsberg
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification. CoRR (2022)
Oliver Stromann, Alireza Razavi, Michael Felsberg
Visual Feature Encoding for GNNs on Road Networks. CoRR (2022)
Johan Edstedt, Mårten Wadenbäck, Michael Felsberg
Deep Kernelized Dense Geometric Matching. CoRR (2022)
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
Steerable 3D Spherical Neurons. ICML (2022)
Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann
Balanced Product of Experts for Long-Tailed Recognition. CoRR (2022)
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)
Karl Holmquist, Lena Klasén, Michael Felsberg
Evidential Deep Learning for Class-Incremental Semantic Segmentation. CoRR (2022)
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (24) (2022)
Arvi Jonnarth, Michael Felsberg, Yushan Zhang
Activation-Based Sampling for Pixel- to Image-Level Aggregation in Weakly-Supervised Segmentation. CoRR (2022)
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)
Arvi Jonnarth, Michael Felsberg
Importance Sampling Cams For Weakly-Supervised Segmentation. ICASSP (2022)
Oliver Stromann, Seyed Alireza Razavi, Michael Felsberg
Learning To Integrate Vision Data Into Road Network Data. ICASSP (2022)
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 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)
Johan Edstedt, Johan Karlsson, Francisca Benavente, Anette Novak, Amanda Berg, Michael Felsberg
Is this Harmful? Learning to Predict Harmfulness Ratings from Video. CoRR (2021)
Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan
Deep Gaussian Processes for Few-Shot Segmentation. CoRR (2021)
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg
Graph Representation Learning for Road Type Classification. CoRR (2021)
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
Embed Me If You Can: A Geometric Perceptron. ICCV (2021)
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
Dense Gaussian Processes for Few-Shot Segmentation. CoRR (2021)
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg
Video Instance Segmentation with Recurrent Graph Neural Networks. GCPR (2021)
Karl Holmquist, Lena Klasén, Michael Felsberg
Class-Incremental Learning for Semantic Segmentation - A study. SAIS (2021)
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 Gunsel, 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 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)
Andreas Robinson, Abdelrahman Eldesokey, Michael Felsberg
Distractor-Aware Video Object Segmentation. GCPR (2021)
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 (2021)
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg
Graph representation learning for road type classification. Pattern Recognit. 120 (2021)
Abdelrahman Eldesokey, Michael Felsberg
Normalized Convolution Upsampling for Refined Optical Flow Estimation. VISIGRAPP (5: VISAPP) (2021)
Oliver Stromann, Alireza Razavi, Michael Felsberg
Learning to integrate vision data into road network data. CoRR (2021)
Gustav Häger, Mikael Persson, Michael Felsberg
Predicting Disparity Distributions. ICRA (2021)
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
Fully Steerable 3D Spherical Neurons. CoRR (2021)
Abdelrahman Eldesokey, Michael Felsberg
Normalized Convolution Upsampling for Refined Optical Flow Estimation. CoRR (2021)
Emil Brissman, Joakim Johnander, Michael Felsberg
Predicting Signed Distance Functions for Visual Instance Segmentation. SAIS (2021)
Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control. CoRR (2021)
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR (2021)
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg
Learning Video Instance Segmentation with Recurrent Graph Neural Networks. CoRR (2020)
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)
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
Embed Me If You Can: A Geometric Perceptron. CoRR (2020)
Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. CoRR (2020)
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 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)
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 (2020)
Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan
GPS-level accurate camera localization with HorizonNet. J. Field Robotics 37 (6) (2020)
Amanda Berg, Michael Felsberg, Jörgen Ahlberg
Unsupervised Adversarial Learning of Anomaly Detection in the Wild. ECAI (2020)
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
Learning Fast and Robust Target Models for Video Object Segmentation. CVPR (2020)
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
Confidence Propagation through CNNs for Guided Sparse Depth Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42 (10) (2020)
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
Learning Fast and Robust Target Models for Video Object Segmentation. CoRR (2020)
Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. CVPR (2020)
Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control. ICPR (2020)
Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg
Deep motion and appearance cues for visual tracking. Pattern Recognit. Lett. 124 (2019)
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) (2019)
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg
A Generative Appearance Model for End-To-End Video Object Segmentation. CVPR (2019)
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 (2019)
Amanda Berg, Jörgen Ahlberg, Michael Felsberg
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training. CoRR (2019)
Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg
Semi-Automatic Annotation of Objects in Visual-Thermal Video. ICCV Workshops (2019)
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)
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
Discriminative Online Learning for Fast Video Object Segmentation. CoRR (2019)
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
ATOM: Accurate Tracking by Overlap Maximization. CVPR (2019)
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
Propagating Confidences through CNNs for Sparse Data Regression. BMVC (2018)
Karl Holmquist, Oeniz Senel, Michael Felsberg
Computing a Collision-Free Path Using the Monogenic Scale Space. IROS (2018)
Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan
HorizonNet for visual terrain navigation. IPAS (2018)
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 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)
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) (2018)
Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
Combining Local and Global Models for Robust Re-detection. AVSS (2018)
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
Propagating Confidences through CNNs for Sparse Data Regression. CoRR (2018)
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
Unveiling the Power of Deep Tracking. ECCV (2) (2018)
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
ATOM: Accurate Tracking by Overlap Maximization. CoRR (2018)
Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
On the Optimization of Advanced DCF-Trackers. ECCV Workshops (1) (2018)

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Michael Felsberg