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ORCIDMichael Felsberg
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- affiliation: Linköping University, Sweden
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2020 – today
- 2024
[c152]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- [c151]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer Is What You Need for Vision and Language. AAAI 2024: 4713-4721 - [c150]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Steerers: A Framework for Rotation Equivariant Keypoint Descriptors. CVPR 2024: 4885-4895 - [c149]Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck:
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. CVPR 2024: 5620-5630 - [c148]Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
RoMa: Robust Dense Feature Matching. CVPR 2024: 19790-19800 - [c147]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 - [c146]William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson:
NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving. ECCV (30) 2024: 161-177 - [c145]Emanuel Sanchez Aimar
, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg:
Flexible Distribution Alignment: Towards Long-Tailed Semi-supervised Learning with Proper Calibration. ECCV (54) 2024: 307-327 - [c144]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Affine Steerers for Structured Keypoint Description. ECCV (86) 2024: 449-468 - [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,