Fisher Yu

202 papers A* 64A 14Misc 1Journal 103Unranked 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Condition-Invariant Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool
2025 J jnl
Guest Editorial Introduction to the Special Issue on Segment Anything for Videos and Beyond.
IEEE Trans. Circuits Syst. Video Technol.
Wenguan Wang, Hengshuang Zhao, Xinggang Wang, Fisher Yu, David Crandall
2025 A conf
Segment Anything Meets Point Tracking.
WACV
Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
2024 A conf
DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision.
IROS
Yutong Hu, Kehan Wen, Fisher Yu
2024 J jnl
DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision.
CoRR
Yutong Hu, Kehan Wen, Fisher Yu
2024 A* conf
Distilling ODE Solvers of Diffusion Models into Smaller Steps.
CVPR
Sanghwan Kim, Hao Tang, Fisher Yu
2024 A* conf
Flexible Residual Binarization for Image Super-Resolution.
ICML
Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu
2024 — conf
Gaussian Grouping: Segment and Edit Anything in 3D Scenes.
ECCV (29)
Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke
2024 — conf
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution.
ECCV (40)
Xiang Zhang, Yulun Zhang, Fisher Yu
2024 J jnl
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution.
CoRR
Xiang Zhang, Yulun Zhang, Fisher Yu
2024 A* conf
ICGNet: A Unified Approach for Instance-Centric Grasping.
ICRA
René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
2024 J jnl
ICGNet: A Unified Approach for Instance-Centric Grasping.
CoRR
René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
2024 A* conf
Lightweight Image Super-Resolution via Flexible Meta Pruning.
ICML
Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu
2024 A* conf
Matching Anything by Segmenting Anything.
CVPR
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu
2024 J jnl
Matching Anything by Segmenting Anything.
CoRR
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu
2024 A* conf
MuRF: Multi-Baseline Radiance Fields.
CVPR
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu
2024 A conf
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation.
IROS
Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu
2024 J jnl
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation.
CoRR
Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu
2024 J jnl
S
CoRR
Zhiyuan Wu, Yi Feng, Chuangwei Liu, Fisher Yu, Qijun Chen, Rui Fan
2024 J jnl
S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving.
IEEE Trans. Intell. Veh.
Zhiyuan Wu, Yi Feng, Chuangwei Liu, Fisher Yu, Qijun Chen, Rui Fan
2024 A conf
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
IROS
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
2024 A* conf
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.
ICLR
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu
2024 A* conf
UniDepth: Universal Monocular Metric Depth Estimation.
CVPR
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu
2024 J jnl
UniDepth: Universal Monocular Metric Depth Estimation.
CoRR
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu
2024 — conf
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs.
ECCV (8)
Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele
2024 J jnl
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs.
CoRR
Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele
2023 A* conf
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection.
ICCV
Changyong Shu, Jiajun Deng, Fisher Yu, Yifan Liu
2023 A conf
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning.
IROS
Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool
2023 J jnl
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning.
CoRR
Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool
2023 A* conf
BiBench: Benchmarking and Analyzing Network Binarization.
ICML
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
2023 J jnl
BiBench: Benchmarking and Analyzing Network Binarization.
CoRR
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
2023 A* conf
BiMatting: Efficient Video Matting via Binarization.
NeurIPS
Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
2023 — conf
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.
DAGM
Zhizheng Liu, Mattia Segù, Fisher Yu
2023 J jnl
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.
CoRR
Zhizheng Liu, Mattia Segù, Fisher Yu
2023 A* conf
Cascade-DETR: Delving into High-Quality Universal Object Detection.
ICCV
Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
2023 J jnl
Cascade-DETR: Delving into High-Quality Universal Object Detection.
CoRR
Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
2023 A conf
Composite Learning for Robust and Effective Dense Predictions.
WACV
Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool
2023 J jnl
Condition-Invariant Semantic Segmentation.
CoRR
Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool
2023 A* conf
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.
ICCV
Mattia Segù, Bernt Schiele, Fisher Yu
2023 J jnl
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.
CoRR
Mattia Segù, Bernt Schiele, Fisher Yu
2023 A conf
Dense Prediction with Attentive Feature Aggregation.
WACV
Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu
2023 J jnl
Distilling ODE Solvers of Diffusion Models into Smaller Steps.
CoRR
Sanghwan Kim, Hao Tang, Fisher Yu
2023 A* conf
Dual Aggregation Transformer for Image Super-Resolution.
ICCV
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu
2023 J jnl
Dual Aggregation Transformer for Image Super-Resolution.
CoRR
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu
2023 J jnl
Gaussian Grouping: Segment and Edit Anything in 3D Scenes.
CoRR
Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke
2023 — conf
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers.
Robotics: Science and Systems
Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu
2023 J jnl
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers.
CoRR
Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu
2023 A conf
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing.
IROS
Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza
2023 A* conf
Mask-Free Video Instance Segmentation.
CVPR
Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2023 J jnl
Mask-Free Video Instance Segmentation.
CoRR
Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2023 A conf
Maskomaly: Zero-Shot Mask Anomaly Segmentation.
BMVC
Jan Ackermann, Christos Sakaridis, Fisher Yu
2023 J jnl
Maskomaly: Zero-Shot Mask Anomaly Segmentation.
CoRR
Jan Ackermann, Christos Sakaridis, Fisher Yu
2023 A* conf
MolGrapher: Graph-based Visual Recognition of Chemical Structures.
ICCV
Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu
2023 J jnl
MolGrapher: Graph-based Visual Recognition of Chemical Structures.
CoRR
Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu
2023 J jnl
Monocular Quasi-Dense 3D Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell.
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun
2023 J jnl
MuRF: Multi-Baseline Radiance Fields.
CoRR
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu
2023 A* conf
OVTrack: Open-Vocabulary Multiple Object Tracking.
CVPR
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
2023 J jnl
OVTrack: Open-Vocabulary Multiple Object Tracking.
CoRR
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
2023 J jnl
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell.
Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu
2023 A* conf
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
NeurIPS
Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
2023 A* conf
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras.
ICCV
Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu
2023 J jnl
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras.
CoRR
Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu
2023 A* conf
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding.
NeurIPS
Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool
2023 J jnl
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding.
CoRR
Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool
2023 J jnl
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
CoRR
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
2023 A* conf
Scaling Vision Transformers to 22 Billion Parameters.
ICML
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
2023 J jnl
Scaling Vision Transformers to 22 Billion Parameters.
CoRR
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
2023 J jnl
Segment Anything Meets Point Tracking.
CoRR
Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
2023 A* conf
Segment Anything in High Quality.
NeurIPS
Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2023 J jnl
Segment Anything in High Quality.
CoRR
Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2023 A conf
Spatio-Temporal Action Detection Under Large Motion.
WACV
Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool
2023 J jnl
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.
CoRR
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu
2023 — conf
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
ICCV (Workshops)
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
2023 J jnl
Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding.
CoRR
Ozan Unal, Christos Sakaridis, Suman Saha, Fisher Yu, Luc Van Gool
2023 A* conf
Towards Robust Object Detection Invariant to Real-World Domain Shifts.
ICLR
Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
2023 A* conf
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction.
ICRA
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2023 J jnl
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction.
CoRR
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2023 J jnl
Uncertainty-Driven Dense Two-View Structure From Motion.
IEEE Robotics Autom. Lett.
Weirong Chen, Suryansh Kumar, Fisher Yu
2023 J jnl
Uncertainty-Driven Dense Two-View Structure from Motion.
CoRR
Weirong Chen, Suryansh Kumar, Fisher Yu
2023 J jnl
Unifying Flow, Stereo and Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger
2023 A* conf
Video OWL-ViT: Temporally-consistent open-world localization in video.
ICCV
Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf
2023 J jnl
Video OWL-ViT: Temporally-consistent open-world localization in video.
CoRR
Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf
2023 A* conf
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving.
ICCV
Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu
2023 J jnl
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving.
CoRR
Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu
2023 A* conf
iDisc: Internal Discretization for Monocular Depth Estimation.
CVPR
Luigi Piccinelli, Christos Sakaridis, Fisher Yu
2023 J jnl
iDisc: Internal Discretization for Monocular Depth Estimation.
CoRR
Luigi Piccinelli, Christos Sakaridis, Fisher Yu
2022 J jnl
3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers.
CoRR
Changyong Shu, Fisher Yu, Yifan Liu
2022 Misc conf
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion.
CoRL
Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu
2022 J jnl
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion.
CoRR
Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu
2022 J jnl
Composite Learning for Robust and Effective Dense Predictions.
CoRR
Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool
2022 A conf
Fast Hierarchical Learning for Few-Shot Object Detection.
IROS
Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu
2022 J jnl
Fast Hierarchical Learning for Few-Shot Object Detection.
CoRR
Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu
2022 A* conf
Generative Cooperative Learning for Unsupervised Video Anomaly Detection.
CVPR
Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
2022 J jnl
Generative Cooperative Learning for Unsupervised Video Anomaly Detection.
CoRR
Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
2022 J jnl
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing.
CoRR
Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza
2022 J jnl
Learning Online Multi-Sensor Depth Fusion.
CoRR
Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
2022 — conf
Learning Online Multi-sensor Depth Fusion.
ECCV (32)
Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
2022 A* conf
LiDAR Snowfall Simulation for Robust 3D Object Detection.
CVPR
Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
2022 J jnl
LiDAR Snowfall Simulation for Robust 3D Object Detection.
CoRR
Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
2022 A* conf
Mask Transfiner for High-Quality Instance Segmentation.
CVPR
Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2022 J jnl
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.
CoRR
Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
2022 A conf
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution.
WACV
Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
2022 A* conf
On the Practicality of Deterministic Epistemic Uncertainty.
ICML
Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari
2022 A* conf
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences.
CVPR
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
2022 J jnl
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences.
CoRR
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
2022 J jnl
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
CoRR
Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu
2022 A* conf
RePaint: Inpainting using Denoising Diffusion Probabilistic Models.
CVPR
Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool
2022 J jnl
RePaint: Inpainting using Denoising Diffusion Probabilistic Models.
CoRR
Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool
2022 — conf
SAGA: Stochastic Whole-Body Grasping with Contact.
ECCV (6)
Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang
2022 A* conf
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
CVPR
Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
2022 J jnl
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
CoRR
Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
2022 J jnl
Spatio-Temporal Action Detection Under Large Motion.
CoRR
Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool
2022 — conf
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation.
ECCV (34)
Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
2022 — conf
The Tenth Visual Object Tracking VOT2022 Challenge Results.
ECCV Workshops (8)
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, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Sai S. 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
2022 — conf
Tracking Every Thing in the Wild.
ECCV (22)
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu
2022 J jnl
Tracking Every Thing in the Wild.
CoRR
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu
2022 A* conf
Transforming Model Prediction for Tracking.
CVPR
Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool
2022 J jnl
Transforming Model Prediction for Tracking.
CoRR
Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool
2022 J jnl
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields.
IEEE Robotics Autom. Lett.
Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
2022 J jnl
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields.
CoRR
Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
2022 J jnl
Unifying Flow, Stereo and Depth Estimation.
CoRR
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger
2022 — conf
Video Mask Transfiner for High-Quality Video Instance Segmentation.
ECCV (28)
Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2022 J jnl
Video Mask Transfiner for High-Quality Video Instance Segmentation.
CoRR
Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2021 — conf
Autonomous Vehicle Vision 2021: ICCV Workshop Summary.
ICCVW
Rui Fan, Nemanja Djuric, Fisher Yu, Rowan McAllister, Ioannis Pitas
2021 A* conf
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising.
ICCV
Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
2021 J jnl
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising.
CoRR
Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
2021 J jnl
Dense Prediction with Attentive Feature Aggregation.
CoRR
Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu
2021 A* conf
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach.
ICCV
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2021 J jnl
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach.
CoRR
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2021 A* conf
Exploring Cross-Image Pixel Contrast for Semantic Segmentation.
ICCV
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool
2021 J jnl
Exploring Cross-Image Pixel Contrast for Semantic Segmentation.
CoRR
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool
2021 A* conf
Instance-Aware Predictive Navigation in Multi-Agent Environments.
ICRA
Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
2021 J jnl
Instance-Aware Predictive Navigation in Multi-Agent Environments.
CoRR
Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
2021 J jnl
Mask Transfiner for High-Quality Instance Segmentation.
CoRR
Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2021 J jnl
Monocular Quasi-Dense 3D Object Tracking.
CoRR
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun
2021 J jnl
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution.
CoRR
Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
2021 J jnl
On the Practicality of Deterministic Epistemic Uncertainty.
CoRR
Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari
2021 A* conf
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation.
NeurIPS
Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2021 J jnl
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation.
CoRR
Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
2021 A* conf
Quasi-Dense Similarity Learning for Multiple Object Tracking.
CVPR
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu
2021 A* conf
Robust Object Detection via Instance-Level Temporal Cycle Confusion.
ICCV
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
2021 J jnl
Robust Object Detection via Instance-Level Temporal Cycle Confusion.
CoRR
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
2021 J jnl
SAGA: Stochastic Whole-Body Grasping with Contact.
CoRR
Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang
2021 J jnl
TADA: Taxonomy Adaptive Domain Adaptation.
CoRR
Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
2021 A* conf
Warp Consistency for Unsupervised Learning of Dense Correspondences.
ICCV
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
2021 J jnl
Warp Consistency for Unsupervised Learning of Dense Correspondences.
CoRR
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
2020 A* conf
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.
CVPR
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
2020 A* conf
Frustratingly Simple Few-Shot Object Detection.
ICML
Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu
2020 J jnl
Frustratingly Simple Few-Shot Object Detection.
CoRR
Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu
2020 A* conf
Learning Saliency Propagation for Semi-Supervised Instance Segmentation.
CVPR
Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu
2020 J jnl
Quasi-Dense Instance Similarity Learning.
CoRR
Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu
2019 A conf
Deep Mixture of Experts via Shallow Embedding.
UAI
Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
2019 A* conf
Deep Object-Centric Policies for Autonomous Driving.
ICRA
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
2019 A* conf
Disentangling Propagation and Generation for Video Prediction.
ICCV
Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell
2019 A* conf
Few-Shot Object Detection via Feature Reweighting.
ICCV
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
2019 A* conf
Hierarchical Discrete Distribution Decomposition for Match Density Estimation.
CVPR
Zhichao Yin, Trevor Darrell, Fisher Yu
2019 A* conf
Joint Monocular 3D Vehicle Detection and Tracking.
ICCV
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
2019 A* conf
Semantic Predictive Control for Explainable and Efficient Policy Learning.
ICRA
Xinlei Pan, Xiangyu Chen, Qi-Zhi Cai, John F. Canny, Fisher Yu
2019 A* conf
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning.
CVPR
Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
2019 J jnl
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning.
CoRR
Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
2019 J jnl
Task-Aware Deep Sampling for Feature Generation.
CoRR
Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez
2018 J jnl
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.
CoRR
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell
2018 — conf
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.
ECCV (10)
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song
2018 J jnl
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.
CoRR
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song
2018 A* conf
Deep Layer Aggregation.
CVPR
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
2018 J jnl
Deep Mixture of Experts via Shallow Embedding.
CoRR
Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
2018 J jnl
Deep Object Centric Policies for Autonomous Driving.
CoRR
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
2018 J jnl
Disentangling Propagation and Generation for Video Prediction.
CoRR
Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell
2018 J jnl
Few-shot Object Detection via Feature Reweighting.
CoRR
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
2018 J jnl
Hierarchical Discrete Distribution Decomposition for Match Density Estimation.
CoRR
Zhichao Yin, Trevor Darrell, Fisher Yu
2018 A conf
IDK Cascades: Fast Deep Learning by Learning not to Overthink.
UAI
Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez
2018 J jnl
Joint Monocular 3D Vehicle Detection and Tracking.
CoRR
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
2018 — conf
Learning Rich Image Representation with Deep Layer Aggregation.
ICLR (Workshop)
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
2018 A* conf
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup.
CVPR
Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein
2018 — conf
Reinforcement Learning from Imperfect Demonstrations.
ICLR (Workshop)
Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
2018 J jnl
Reinforcement Learning from Imperfect Demonstrations.
CoRR
Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
2018 — conf
SkipNet: Learning Dynamic Routing in Convolutional Networks.
ECCV (13)
Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez
2018 A* conf
TextureGAN: Controlling Deep Image Synthesis With Texture Patches.
CVPR
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
2017 J jnl
Deep Layer Aggregation.
CoRR
Fisher Yu, Dequan Wang, Trevor Darrell
2017 A* conf
Dilated Residual Networks.
CVPR
Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser
2017 J jnl
Dilated Residual Networks.
CoRR
Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser
2017 A* conf
End-to-End Learning of Driving Models from Large-Scale Video Datasets.
CVPR
Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell
2017 — conf
Interactive 3D Modeling with a Generative Adversarial Network.
3DV
Jerry Liu, Fisher Yu, Thomas A. Funkhouser
2017 J jnl
Interactive 3D Modeling with a Generative Adversarial Network.
CoRR
Jerry Liu, Fisher Yu, Thomas A. Funkhouser
2017 — conf
Large-Scale 3D Shape Retrieval from ShapeNet Core55.
3DOR@Eurographics
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
2017 A* conf
Scribbler: Controlling Deep Image Synthesis with Sketch and Color.
CVPR
Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
2017 A* conf
Semantic Scene Completion from a Single Depth Image.
CVPR
Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser
2017 J jnl
SkipNet: Learning Dynamic Routing in Convolutional Networks.
CoRR
Xin Wang, Fisher Yu, Zi-Yi Dou, Joseph E. Gonzalez
2017 J jnl
TextureGAN: Controlling Deep Image Synthesis with Texture Patches.
CoRR
Wenqi Xian, Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
2016 J jnl
Automatic triage for a photo series.
ACM Trans. Graph.
Huiwen Chang, Fisher Yu, Jue Wang, Douglas Ashley, Adam Finkelstein
2016 J jnl
End-to-end Learning of Driving Models from Large-scale Video Datasets.
CoRR
Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell
2016 J jnl
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.
CoRR
Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell
2016 — conf
Large-Scale 3D Shape Retrieval from ShapeNet Core55.
3DOR@Eurographics
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
2016 A* conf
Multi-Scale Context Aggregation by Dilated Convolutions.
ICLR (Poster)
Fisher Yu, Vladlen Koltun
2016 J jnl
Scribbler: Controlling Deep Image Synthesis with Sketch and Color.
CoRR
Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
2016 J jnl
Semantic Scene Completion from a Single Depth Image.
CoRR
Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser
2015 A* conf
3D ShapeNets: A deep representation for volumetric shapes.
CVPR
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao
2015 J jnl
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.
CoRR
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, Jianxiong Xiao
2015 A* conf
Semantic alignment of LiDAR data at city scale.
CVPR
Fisher Yu, Jianxiong Xiao, Thomas A. Funkhouser
2015 J jnl
ShapeNet: An Information-Rich 3D Model Repository.
CoRR
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
2014 A* conf
3D Reconstruction from Accidental Motion.
CVPR
Fisher Yu, David Gallup
2012 J jnl
HelpingHand: example-based stroke stylization.
ACM Trans. Graph.
Jingwan Lu, Fisher Yu, Adam Finkelstein, Stephen DiVerdi