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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
- 2024
[j8]Zhiyuan Wu
, Yi Feng, Chuangwei Liu, Fisher Yu, Qijun Chen, Rui Fan:
S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. IEEE Trans. Intell. Veh. 9(2): 3940-3951 (2024)- [c92]Sanghwan Kim, Hao Tang, Fisher Yu:
Distilling ODE Solvers of Diffusion Models into Smaller Steps. CVPR 2024: 9410-9419 - [c91]Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CVPR 2024: 10106-10116 - [c90]Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CVPR 2024: 18963-18973 - [c89]Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu:
MuRF: Multi-Baseline Radiance Fields. CVPR 2024: 20041-20050 - [c88]Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu:
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. ICLR 2024 - [c87]Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu:
Lightweight Image Super-Resolution via Flexible Meta Pruning. ICML 2024 - [c86]Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu:
Flexible Residual Binarization for Image Super-Resolution. ICML 2024 - [c85]René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu:
ICGNet: A Unified Approach for Instance-Centric Grasping. ICRA 2024: 4140-4146 - [i92]René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu:
ICGNet: A Unified Approach for Instance-Centric Grasping. CoRR abs/2401.09939 (2024) - [i91]Zhiyuan Wu, Yi Feng, Chuangwei Liu, Fisher Yu, Qijun Chen, Rui Fan:
S3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. CoRR abs/2401.11414 (2024) - [i90]Yutong Hu, Kehan Wen, Fisher Yu:
DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision. CoRR abs/2403.14300 (2024) - [i89]Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CoRR abs/2403.18913 (2024) - [i88]Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CoRR abs/2406.04221 (2024) - [i87]Xiang Zhang, Yulun Zhang, Fisher Yu:
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution. CoRR abs/2407.05878 (2024) - [i86]Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. CoRR abs/2409.17221 (2024) - 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) - [c84]Jan Ackermann, Christos Sakaridis, Fisher Yu:
Maskomaly: Zero-Shot Mask Anomaly Segmentation. BMVC 2023: 329 - [c83]Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu:
OVTrack: Open-Vocabulary Multiple Object Tracking. CVPR 2023: 5567-5577 - [c82]Luigi Piccinelli, Christos Sakaridis, Fisher Yu:
iDisc: Internal Discretization for Monocular Depth Estimation. CVPR 2023: 21477-21487 - [c81]Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask-Free Video Instance Segmentation. CVPR 2023: 22857-22866 - [c80]Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. DAGM 2023: 443-458 - [c79]Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu:
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. ICCV 2023: 3193-3203 - [c78]Changyong Shu, Jiajun Deng, Fisher Yu, Yifan Liu:
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection. ICCV 2023: 3557-3566 - [c77]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. ICCV 2023: 6681-6691 - [c76]Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. ICCV 2023: 8613-8623 - [c75]Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. ICCV 2023: 9683-9693 - [c74]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. ICCV 2023: 12278-12287 - [c73]Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. ICCV 2023: 13756-13765 - [c72]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. ICCV 2023: 19495-19504 - [c71]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 - [c70]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 - [c69]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 - [c68]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 - [c67]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 - [c66]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. IROS 2023: 5243-5250 - [c65]Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023: 5582-5589 - [c64]Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Segment Anything in High Quality. NeurIPS 2023 - [c63]Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu:
BiMatting: Efficient Video Matting via Binarization. NeurIPS 2023 - [c62]Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu:
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS 2023 - [c61]Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool:
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023 - [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 - [i85]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) - [i84]Weirong Chen, Suryansh Kumar, Fisher Yu:
Uncertainty-Driven Dense Two-View Structure from Motion. CoRR abs/2302.00523 (2023) - [i83]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 Nader 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) - [i82]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) - [i81]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) - [i80]Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask-Free Video Instance Segmentation. CoRR abs/2303.15904 (2023) - [i79]Luigi Piccinelli, Christos Sakaridis, Fisher Yu:
iDisc: Internal Discretization for Monocular Depth Estimation. CoRR abs/2304.06334 (2023) - [i78]Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu:
OVTrack: Open-Vocabulary Multiple Object Tracking. CoRR abs/2304.08408 (2023) - [i77]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) - [i76]Jan Ackermann, Christos Sakaridis, Fisher Yu:
Maskomaly: Zero-Shot Mask Anomaly Segmentation. CoRR abs/2305.16972 (2023) - [i75]Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool:
Condition-Invariant Semantic Segmentation. CoRR abs/2305.17349 (2023) - [i74]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) - [i73]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) - [i72]Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Segment Anything Meets Point Tracking. CoRR abs/2307.01197 (2023) - [i71]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) - [i70]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) - [i69]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. CoRR abs/2308.03364 (2023) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]Sanghwan Kim, Hao Tang, Fisher Yu:
Distilling ODE Solvers of Diffusion Models into Smaller Steps. CoRR abs/2309.16421 (2023) - [i62]Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. CoRR abs/2310.01926 (2023) - [i61]Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. CoRR abs/2310.03006 (2023) - [i60]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) - [i59]Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke:
Gaussian Grouping: Segment and Edit Anything in 3D Scenes. CoRR abs/2312.00732 (2023) - [i58]Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu:
MuRF: Multi-Baseline Radiance Fields. CoRR abs/2312.04565 (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]Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. CVPR 2019: 6044-6053 - [c25]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. ICCV 2019: 5389-5398 - [c24]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-Shot Object Detection via Feature Reweighting. ICCV 2019: 8419-8428 - [c23]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. ICCV 2019: 9005-9014 - [c22]Xinlei Pan, Xiangyu Chen, Qi-Zhi Cai, John F. Canny, Fisher Yu:
Semantic Predictive Control for Explainable and Efficient Policy Learning. ICRA 2019: 3203-3209 - [c21]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object-Centric Policies for Autonomous Driving. ICRA 2019: 8853-8859 - [c20]Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. UAI 2019: 552-562 - [i22]Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CoRR abs/1904.05967 (2019) - [i21]Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez:
Task-Aware Deep Sampling for Feature Generation. CoRR abs/1906.04854 (2019) - 2018
- [c19]Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein:
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. CVPR 2018: 40-48 - [c18]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Deep Layer Aggregation. CVPR 2018: 2403-2412 - [c17]Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
TextureGAN: Controlling Deep Image Synthesis With Texture Patches. CVPR 2018: 8456-8465 - [c16]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. ECCV (10) 2018: 220-237 - [c15]Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez:
SkipNet: Learning Dynamic Routing in Convolutional Networks. ECCV (13) 2018: 420-436 - [c14]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. ICLR (Workshop) 2018 - [c13]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) 2018 - [c12]Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez:
IDK Cascades: Fast Deep Learning by Learning not to Overthink. UAI 2018: 580-590 - [i20]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. CoRR abs/1802.05313 (2018) - [i19]Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. CoRR abs/1805.04687 (2018) - [i18]Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. CoRR abs/1806.01531 (2018) - [i17]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. CoRR abs/1810.05162 (2018) - [i16]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object Centric Policies for Autonomous Driving. CoRR abs/1811.05432 (2018) - [i15]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. CoRR abs/1811.10742 (2018) - [i14]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. CoRR abs/1812.00452 (2018) - [i13]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-shot Object Detection via Feature Reweighting. CoRR abs/1812.01866 (2018) - [i12]Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. CoRR abs/1812.06264 (2018) - 2017
- [c11]Jerry Liu, Fisher Yu, Thomas A. Funkhouser:
Interactive 3D Modeling with a Generative Adversarial Network. 3DV 2017: 126-134 - [c10]Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, Spyridon Thermos, Apostolos Axenopoulos, Georgios Th. Papadopoulos, Petros Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, Sanjeev Mk:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2017 - [c9]Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser:
Semantic Scene Completion from a Single Depth Image. CVPR 2017: 190-198 - [c8]Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser:
Dilated Residual Networks. CVPR 2017: 636-644 - [c7]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-End Learning of Driving Models from Large-Scale Video Datasets. CVPR 2017: 3530-3538 - [c6]Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
Scribbler: Controlling Deep Image Synthesis with Sketch and Color. CVPR 2017: 6836-6845 - [i11]Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser:
Dilated Residual Networks. CoRR abs/1705.09914 (2017) - [i10]Wenqi Xian, Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
TextureGAN: Controlling Deep Image Synthesis with Texture Patches. CoRR abs/1706.02823 (2017) - [i9]Jerry Liu, Fisher Yu, Thomas A. Funkhouser:
Interactive 3D Modeling with a Generative Adversarial Network. CoRR abs/1706.05170 (2017) - [i8]Fisher Yu, Dequan Wang, Trevor Darrell:
Deep Layer Aggregation. CoRR abs/1707.06484 (2017) - [i7]Xin Wang, Fisher Yu, Zi-Yi Dou, Joseph E. Gonzalez:
SkipNet: Learning Dynamic Routing in Convolutional Networks. CoRR abs/1711.09485 (2017) - 2016
- [j2]Huiwen Chang, Fisher Yu, Jue Wang, Douglas Ashley, Adam Finkelstein:
Automatic triage for a photo series. ACM Trans. Graph. 35(4): 148:1-148:10 (2016) - [c5]Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2016 - [c4]Fisher Yu, Vladlen Koltun:
Multi-Scale Context Aggregation by Dilated Convolutions. ICLR (Poster) 2016 - [i6]Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser:
Semantic Scene Completion from a Single Depth Image. CoRR abs/1611.08974 (2016) - [i5]Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
Scribbler: Controlling Deep Image Synthesis with Sketch and Color. CoRR abs/1612.00835 (2016) - [i4]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-end Learning of Driving Models from Large-scale Video Datasets. CoRR abs/1612.01079 (2016) - [i3]Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell:
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR abs/1612.02649 (2016) - 2015
- [c3]Fisher Yu, Jianxiong Xiao, Thomas A. Funkhouser:
Semantic alignment of LiDAR data at city scale. CVPR 2015: 1722-1731 - [c2]Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao:
3D ShapeNets: A deep representation for volumetric shapes. CVPR 2015: 1912-1920 - [i2]Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, Jianxiong Xiao:
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. CoRR abs/1506.03365 (2015) - [i1]Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu:
ShapeNet: An Information-Rich 3D Model Repository. CoRR abs/1512.03012 (2015) - 2014
- [c1]Fisher Yu, David Gallup:
3D Reconstruction from Accidental Motion. CVPR 2014: 3986-3993 - 2012
- [j1]Jingwan Lu, Fisher Yu, Adam Finkelstein, Stephen DiVerdi:
HelpingHand: example-based stroke stylization. ACM Trans. Graph. 31(4): 46:1-46:10 (2012)
Coauthor Index
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