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ORCIDFisher Yu 0001
Person information
- affiliation: ETH Zurich, Switzerland
- affiliation (former): University of California Berkeley, CA, USA
- affiliation (PhD): Princeton University, NJ, USA
Other persons with the same name
- Fisher Yu 0002 — BabylonChain
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2020 – today
- 2023
[j7]Hou-Ning Hu
, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun:
Monocular Quasi-Dense 3D Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1992-2008 (2023)- [j6]Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger:
Unifying Flow, Stereo and Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13941-13958 (2023) - [j5]Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15380-15393 (2023) - [j4]Weirong Chen, Suryansh Kumar, Fisher Yu:
Uncertainty-Driven Dense Two-View Structure From Motion. IEEE Robotics Autom. Lett. 8(3): 1763-1770 (2023) - [c67]Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu:
OVTrack: Open-Vocabulary Multiple Object Tracking. CVPR 2023: 5567-5577 - [c66]Luigi Piccinelli, Christos Sakaridis, Fisher Yu:
iDisc: Internal Discretization for Monocular Depth Estimation. CVPR 2023: 21477-21487 - [c65]Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask-Free Video Instance Segmentation. CVPR 2023: 22857-22866 - [c64]Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Towards Robust Object Detection Invariant to Real-World Domain Shifts. ICLR 2023 - [c63]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [c62]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. ICML 2023: 28351-28388 - [c61]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023: 1522-1529 - [c60]Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu:
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. Robotics: Science and Systems 2023 - [c59]Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu:
Dense Prediction with Attentive Feature Aggregation. WACV 2023: 97-106 - [c58]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307 - [c57]Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. WACV 2023: 5998-6007 - [i83]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. CoRR abs/2301.11233 (2023) - [i82]Weirong Chen, Suryansh Kumar, Fisher Yu:
Uncertainty-Driven Dense Two-View Structure from Motion. CoRR abs/2302.00523 (2023) - [i81]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina N. Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i80]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR abs/2303.04116 (2023) - [i79]Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. CoRR abs/2303.04118 (2023) - [i78]Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask-Free Video Instance Segmentation. CoRR abs/2303.15904 (2023) - [i77]Luigi Piccinelli, Christos Sakaridis, Fisher Yu:
iDisc: Internal Discretization for Monocular Depth Estimation. CoRR abs/2304.06334 (2023) - [i76]Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu:
OVTrack: Open-Vocabulary Multiple Object Tracking. CoRR abs/2304.08408 (2023) - [i75]Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu:
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. CoRR abs/2305.16925 (2023) - [i74]Jan Ackermann, Christos Sakaridis, Fisher Yu:
Maskomaly: Zero-Shot Mask Anomaly Segmentation. CoRR abs/2305.16972 (2023) - [i73]Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool:
Condition-Invariant Semantic Segmentation. CoRR abs/2305.17349 (2023) - [i72]Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Segment Anything in High Quality. CoRR abs/2306.01567 (2023) - [i71]Yiming Li, Sihang Li, Xinhao Liu, Moonjun Gong, Kenan Li, Nuo Chen, Zijun Wang, Zhiheng Li, Tao Jiang, Fisher Yu, Yue Wang, Hang Zhao, Zhiding Yu, Chen Feng:
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. CoRR abs/2306.09001 (2023) - [i70]Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Segment Anything Meets Point Tracking. CoRR abs/2307.01197 (2023) - [i69]Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Cascade-DETR: Delving into High-Quality Universal Object Detection. CoRR abs/2307.11035 (2023) - [i68]Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu:
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. CoRR abs/2308.03166 (2023) - [i67]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. CoRR abs/2308.03364 (2023) - [i66]Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. CoRR abs/2308.11093 (2023) - [i65]Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu:
MolGrapher: Graph-based Visual Recognition of Chemical Structures. CoRR abs/2308.12234 (2023) - [i64]Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu:
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. CoRR abs/2308.14713 (2023) - [i63]Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. CoRR abs/2309.04422 (2023) - [i62]Ozan Unal, Christos Sakaridis, Suman Saha, Fisher Yu, Luc Van Gool:
Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. CoRR abs/2309.04561 (2023) - [i61]Sanghwan Kim, Hao Tang, Fisher Yu:
Distilling ODE Solvers of Diffusion Models into Smaller Steps. CoRR abs/2309.16421 (2023) - [i60]Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. CoRR abs/2310.01926 (2023) - [i59]Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. CoRR abs/2310.03006 (2023) - [i58]Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool:
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. CoRR abs/2310.12970 (2023) - 2022
- [j3]Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu:
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields. IEEE Robotics Autom. Lett. 7(4): 12070-12077 (2022) - [c56]Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. CoRL 2022: 2294-2305 - [c55]Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask Transfiner for High-Quality Instance Segmentation. CVPR 2022: 4402-4411 - [c54]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CVPR 2022: 8698-8708 - [c53]Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CVPR 2022: 8721-8730 - [c52]Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR 2022: 11451-11461 - [c51]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR 2022: 14724-14734 - [c50]Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR 2022: 16343-16353 - [c49]Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CVPR 2022: 21339-21350 - [c48]Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) 2022: 19-35 - [c47]Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-sensor Depth Fusion. ECCV (32) 2022: 87-105 - [c46]Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang:
SAGA: Stochastic Whole-Body Grasping with Contact. ECCV (6) 2022: 257-274 - [c45]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 - [c44]Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. ECCV (22) 2022: 498-515 - [c43]Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Video Mask Transfiner for High-Quality Video Instance Segmentation. ECCV (28) 2022: 731-747 - [c42]Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. ICML 2022: 17870-17909 - [c41]Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu:
Fast Hierarchical Learning for Few-Shot Object Detection. IROS 2022: 1993-2000 - [c40]Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV 2022: 874-883 - [i57]Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2201.09865 (2022) - [i56]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR abs/2203.03962 (2022) - [i55]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CoRR abs/2203.04279 (2022) - [i54]Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CoRR abs/2203.11192 (2022) - [i53]Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR abs/2203.15118 (2022) - [i52]Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-Sensor Depth Fusion. CoRR abs/2204.03353 (2022) - [i51]Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CoRR abs/2206.08367 (2022) - [i50]Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. CoRR abs/2207.12978 (2022) - [i49]Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Video Mask Transfiner for High-Quality Video Instance Segmentation. CoRR abs/2207.14012 (2022) - [i48]Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. CoRR abs/2209.02250 (2022) - [i47]Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu:
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields. CoRR abs/2209.08409 (2022) - [i46]Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu:
Fast Hierarchical Learning for Few-Shot Object Detection. CoRR abs/2210.05008 (2022) - [i45]Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. CoRR abs/2210.06984 (2022) - [i44]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. CoRR abs/2210.07239 (2022) - [i43]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing. CoRR abs/2210.14985 (2022) - [i42]Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. CoRR abs/2211.04393 (2022) - [i41]Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger:
Unifying Flow, Stereo and Depth Estimation. CoRR abs/2211.05783 (2022) - [i40]Changyong Shu, Fisher Yu, Yifan Liu:
3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers. CoRR abs/2211.14710 (2022) - [i39]Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. CoRR abs/2212.01247 (2022) - 2021
- [c39]Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Similarity Learning for Multiple Object Tracking. CVPR 2021: 164-173 - [c38]Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. ICCV 2021: 2440-2450 - [c37]Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV 2021: 7283-7293 - [c36]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV 2021: 9123-9132 - [c35]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. ICCV 2021: 10326-10336 - [c34]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021: 15202-15212 - [c33]Rui Fan, Nemanja Djuric, Fisher Yu, Rowan McAllister, Ioannis Pitas:
Autonomous Vehicle Vision 2021: ICCV Workshop Summary. ICCVW 2021: 3088-3095 - [c32]Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. ICRA 2021: 5096-5102 - [c31]Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. NeurIPS 2021: 1192-1203 - [i38]Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. CoRR abs/2101.05893 (2021) - [i37]Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. CoRR abs/2101.11939 (2021) - [i36]Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun:
Monocular Quasi-Dense 3D Object Tracking. CoRR abs/2103.07351 (2021) - [i35]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. CoRR abs/2104.03308 (2021) - [i34]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR abs/2104.08381 (2021) - [i33]Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. CoRR abs/2106.11958 (2021) - [i32]Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. CoRR abs/2107.00649 (2021) - [i31]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR abs/2108.08265 (2021) - [i30]Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR abs/2108.08286 (2021) - [i29]Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. CoRR abs/2109.04813 (2021) - [i28]Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu:
Dense Prediction with Attentive Feature Aggregation. CoRR abs/2111.00770 (2021) - [i27]Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. CoRR abs/2111.03649 (2021) - [i26]Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask Transfiner for High-Quality Instance Segmentation. CoRR abs/2111.13673 (2021) - [i25]Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang:
SAGA: Stochastic Whole-Body Grasping with Contact. CoRR abs/2112.10103 (2021) - 2020
- [c30]Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR 2020: 2633-2642 - [c29]Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu:
Learning Saliency Propagation for Semi-Supervised Instance Segmentation. CVPR 2020: 10304-10313 - [c28]Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. ICML 2020: 9919-9928 - [i24]Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. CoRR abs/2003.06957 (2020) - [i23]Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Instance Similarity Learning. CoRR abs/2006.06664 (2020)
2010 – 2019
- 2019
- [c27]Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CVPR 2019: 1831-1840 - [c26]