HelpingHand: example-based stroke stylization. - Jingwan Lu; Fisher Yu 001; Adam Finkelstein; Stephen DiVerdi (ACM Trans. Graph., 2012)

3D Reconstruction from Accidental Motion. - Fisher Yu 001; David Gallup (CVPR, 2014)

3D ShapeNets: A deep representation for volumetric shapes. - Zhirong Wu; Shuran Song; Aditya Khosla; Fisher Yu 001; Linguang Zhang; Xiaoou Tang; Jianxiong Xiao (CVPR, 2015)

Semantic alignment of LiDAR data at city scale. - Fisher Yu 001; Jianxiong Xiao; Thomas A. Funkhouser (CVPR, 2015)

ShapeNet: An Information-Rich 3D Model Repository. - Angel X. Chang; Thomas A. Funkhouser; Leonidas J. Guibas; Pat Hanrahan; Qi-Xing Huang; Zimo Li; Silvio Savarese; Manolis Savva; Shuran Song; Hao Su 001; Jianxiong Xiao; Li Yi 001; et al. (CoRR, 2015)

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. - Fisher Yu 001; Yinda Zhang 001; Shuran Song; Ari Seff; Jianxiong Xiao (CoRR, 2015)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Masaki Aono; Baoquan Chen; Daniel Cohen-Or; Weihong Deng; Hang Su 005; Song Bai 001; Xiang Bai; Noa Fish; Jiajie Han; et al. (3DOR@Eurographics, 2016)

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. - Judy Hoffman; Dequan Wang; Fisher Yu 001; Trevor Darrell (CoRR, 2016)

Multi-Scale Context Aggregation by Dilated Convolutions. - Fisher Yu 001; Vladlen Koltun (ICLR (Poster), 2016)

Automatic triage for a photo series. - Huiwen Chang; Fisher Yu 001; Jue Wang 001; Douglas Ashley; Adam Finkelstein (ACM Trans. Graph., 2016)

Interactive 3D Modeling with a Generative Adversarial Network. - Jerry Liu; Fisher Yu 001; Thomas A. Funkhouser (3DV, 2017)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Asako Kanezaki; Takahiko Furuya; Ryutarou Ohbuchi; Zhichao Zhou; Rui Yu 002; Song Bai 001; Xiang Bai; Masaki Aono; Atsushi Tatsuma; et al. (3DOR@Eurographics, 2017)

Scribbler: Controlling Deep Image Synthesis with Sketch and Color. - Patsorn Sangkloy; Jingwan Lu; Chen Fang; Fisher Yu 001; James Hays (CVPR, 2017)

Semantic Scene Completion from a Single Depth Image. - Shuran Song; Fisher Yu 001; Andy Zeng 001; Angel X. Chang; Manolis Savva; Thomas A. Funkhouser (CVPR, 2017)

End-to-End Learning of Driving Models from Large-Scale Video Datasets. - Huazhe Xu; Yang Gao 029; Fisher Yu 001; Trevor Darrell (CVPR, 2017)

Dilated Residual Networks. - Fisher Yu 001; Vladlen Koltun; Thomas A. Funkhouser (CVPR, 2017)

TextureGAN: Controlling Deep Image Synthesis with Texture Patches. - Wenqi Xian; Patsorn Sangkloy; Jingwan Lu; Chen Fang; Fisher Yu 001; James Hays (CoRR, 2017)

Deep Layer Aggregation. - Fisher Yu 001; Dequan Wang; Trevor Darrell (CoRR, 2017)

SkipNet: Learning Dynamic Routing in Convolutional Networks. - Xin Wang 066; Fisher Yu 001; Zi-Yi Dou; Joseph E. Gonzalez (CoRR, 2017)

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. - Huiwen Chang; Jingwan Lu; Fisher Yu 001; Adam Finkelstein (CVPR, 2018)

TextureGAN: Controlling Deep Image Synthesis With Texture Patches. - Wenqi Xian; Patsorn Sangkloy; Varun Agrawal; Amit Raj; Jingwan Lu; Chen Fang; Fisher Yu 001; James Hays (CVPR, 2018)

Deep Layer Aggregation. - Fisher Yu 001; Dequan Wang; Evan Shelhamer; Trevor Darrell (CVPR, 2018)

SkipNet: Learning Dynamic Routing in Convolutional Networks. - Xin Wang 066; Fisher Yu 001; Zi-Yi Dou; Trevor Darrell; Joseph E. Gonzalez (ECCV (13), 2018)

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. - Chaowei Xiao; Ruizhi Deng; Bo Li 026; Fisher Yu 001; Mingyan Liu; Dawn Song (ECCV (10), 2018)

Reinforcement Learning from Imperfect Demonstrations. - Yang Gao 029; Huazhe Xu; Ji Lin 002; Fisher Yu 001; Sergey Levine; Trevor Darrell (ICLR (Workshop), 2018)

Learning Rich Image Representation with Deep Layer Aggregation. - Fisher Yu 001; Dequan Wang; Evan Shelhamer; Trevor Darrell (ICLR (Workshop), 2018)

IDK Cascades: Fast Deep Learning by Learning not to Overthink. - Xin Wang 066; Yujia Luo; Daniel Crankshaw; Alexey Tumanov; Fisher Yu 001; Joseph E. Gonzalez (UAI, 2018)

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. - Fisher Yu 001; Wenqi Xian; Yingying Chen; Fangchen Liu; Mike Liao; Vashisht Madhavan; Trevor Darrell (CoRR, 2018)

Deep Mixture of Experts via Shallow Embedding. - Xin Wang 066; Fisher Yu 001; Ruth Wang; Yi-An Ma; Azalia Mirhoseini; Trevor Darrell; Joseph E. Gonzalez (CoRR, 2018)

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. - Xin Wang 066; Fisher Yu 001; Ruth Wang; Trevor Darrell; Joseph E. Gonzalez (CVPR, 2019)

Hierarchical Discrete Distribution Decomposition for Match Density Estimation. - Zhichao Yin; Trevor Darrell; Fisher Yu 001 (CVPR, 2019)

Disentangling Propagation and Generation for Video Prediction. - Hang Gao; Huazhe Xu; Qi-Zhi Cai; Ruth Wang; Fisher Yu 001; Trevor Darrell (ICCV, 2019)

Joint Monocular 3D Vehicle Detection and Tracking. - Hou-Ning Hu; Qi-Zhi Cai; Dequan Wang; Ji Lin 002; Min Sun 001; Philipp Krähenbühl; Trevor Darrell; Fisher Yu 001 (ICCV, 2019)

Few-Shot Object Detection via Feature Reweighting. - Bingyi Kang; Zhuang Liu 003; Xin Wang 066; Fisher Yu 001; Jiashi Feng; Trevor Darrell (ICCV, 2019)

Semantic Predictive Control for Explainable and Efficient Policy Learning. - Xinlei Pan; Xiangyu Chen; Qi-Zhi Cai; John F. Canny; Fisher Yu 001 (ICRA, 2019)

Deep Object-Centric Policies for Autonomous Driving. - Dequan Wang; Coline Devin; Qi-Zhi Cai; Fisher Yu 001; Trevor Darrell (ICRA, 2019)

Deep Mixture of Experts via Shallow Embedding. - Xin Wang 066; Fisher Yu 001; Lisa Dunlap; Yi-An Ma; Ruth Wang; Azalia Mirhoseini; Trevor Darrell; Joseph E. Gonzalez (UAI, 2019)

Task-Aware Deep Sampling for Feature Generation. - Xin Wang 066; Fisher Yu 001; Trevor Darrell; Joseph E. Gonzalez (CoRR, 2019)

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. - Fisher Yu 001; Haofeng Chen; Xin Wang 066; Wenqi Xian; Yingying Chen; Fangchen Liu; Vashisht Madhavan; Trevor Darrell (CVPR, 2020)

Learning Saliency Propagation for Semi-Supervised Instance Segmentation. - Yanzhao Zhou; Xin Wang 066; Jianbin Jiao; Trevor Darrell; Fisher Yu 001 (CVPR, 2020)

Frustratingly Simple Few-Shot Object Detection. - Xin Wang 066; Thomas E. Huang; Joseph Gonzalez 001; Trevor Darrell; Fisher Yu 001 (ICML, 2020)

Quasi-Dense Instance Similarity Learning. - Jiangmiao Pang; Linlu Qiu; Haofeng Chen; Qi Li; Trevor Darrell; Fisher Yu 001 (CoRR, 2020)

Quasi-Dense Similarity Learning for Multiple Object Tracking. - Jiangmiao Pang; Linlu Qiu; Xia Li 005; Haofeng Chen; Qi Li; Trevor Darrell; Fisher Yu 001 (CVPR, 2021)

Robust Object Detection via Instance-Level Temporal Cycle Confusion. - Xin Wang 066; Thomas E. Huang; Benlin Liu; Fisher Yu 001; Xiaolong Wang 004; Joseph E. Gonzalez; Trevor Darrell (ICCV, 2021)

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. - Goutam Bhat; Martin Danelljan; Fisher Yu 001; Luc Van Gool; Radu Timofte (ICCV, 2021)

Warp Consistency for Unsupervised Learning of Dense Correspondences. - Prune Truong; Martin Danelljan; Fisher Yu 001; Luc Van Gool (ICCV, 2021)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation. - Wenguan Wang; Tianfei Zhou; Fisher Yu 001; Jifeng Dai; Ender Konukoglu; Luc Van Gool (ICCV, 2021)

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. - Zhejun Zhang; Alexander Liniger; Dengxin Dai; Fisher Yu 001; Luc Van Gool (ICCV, 2021)

Autonomous Vehicle Vision 2021: ICCV Workshop Summary. - Rui Fan 001; Nemanja Djuric; Fisher Yu 001; Rowan McAllister; Ioannis Pitas (ICCVW, 2021)

Instance-Aware Predictive Navigation in Multi-Agent Environments. - Jinkun Cao; Xin Wang 066; Trevor Darrell; Fisher Yu 001 (ICRA, 2021)

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. - Lei Ke; Xia Li 005; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu 001 (NeurIPS, 2021)

On the Practicality of Deterministic Epistemic Uncertainty. - Janis Postels; Mattia Segù; Tao Sun 019; Luc Van Gool; Fisher Yu 001; Federico Tombari (CoRR, 2021)

TADA: Taxonomy Adaptive Domain Adaptation. - Rui Gong; Martin Danelljan; Dengxin Dai; Wenguan Wang; Danda Pani Paudel; Ajad Chhatkuli; Fisher Yu 001; Luc Van Gool (CoRR, 2021)

Dense Prediction with Attentive Feature Aggregation. - Yung-Hsu Yang; Thomas E. Huang; Samuel Rota Bulò; Peter Kontschieder; Fisher Yu 001 (CoRR, 2021)

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. - Tobias Fischer 004; Yung-Hsu Yang; Suryansh Kumar 001; Min Sun 001; Fisher Yu 001 (CoRL, 2022)

Transforming Model Prediction for Tracking. - Christoph Mayer 007; Martin Danelljan; Goutam Bhat; Matthieu Paul; Danda Pani Paudel; Fisher Yu 001; Luc Van Gool (CVPR, 2022)

LiDAR Snowfall Simulation for Robust 3D Object Detection. - Martin Hahner; Christos Sakaridis; Mario Bijelic; Felix Heide; Fisher Yu 001; Dengxin Dai; Luc Van Gool (CVPR, 2022)

Mask Transfiner for High-Quality Instance Segmentation. - Lei Ke; Martin Danelljan; Xia Li 005; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu 001 (CVPR, 2022)

RePaint: Inpainting using Denoising Diffusion Probabilistic Models. - Andreas Lugmayr; Martin Danelljan; Andrés Romero; Fisher Yu 001; Radu Timofte; Luc Van Gool (CVPR, 2022)

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. - Tao Sun 019; Mattia Segù; Janis Postels; Yuxuan Wang; Luc Van Gool; Bernt Schiele; Federico Tombari; Fisher Yu 001 (CVPR, 2022)

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. - Prune Truong; Martin Danelljan; Fisher Yu 001; Luc Van Gool (CVPR, 2022)

Generative Cooperative Learning for Unsupervised Video Anomaly Detection. - Muhammad Zaigham Zaheer; Arif Mahmood; Muhammad Haris Khan; Mattia Segù; Fisher Yu 001; Seung-Ik Lee (CVPR, 2022)

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. - Rui Gong; Martin Danelljan; Dengxin Dai; Danda Pani Paudel; Ajad Chhatkuli; Fisher Yu 001; Luc Van Gool (ECCV (34), 2022)

Video Mask Transfiner for High-Quality Video Instance Segmentation. - Lei Ke; Henghui Ding; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu 001 (ECCV (28), 2022)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - 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; et al. (ECCV Workshops (8), 2022)

Tracking Every Thing in the Wild. - Siyuan Li 008; Martin Danelljan; Henghui Ding; Thomas E. Huang; Fisher Yu 001 (ECCV (22), 2022)

Learning Online Multi-sensor Depth Fusion. - Erik Sandström; Martin R. Oswald; Suryansh Kumar 001; Silvan Weder; Fisher Yu 001; Cristian Sminchisescu; Luc Van Gool (ECCV (32), 2022)

SAGA: Stochastic Whole-Body Grasping with Contact. - Yan Wu; Jiahao Wang 001; Yan Zhang 054; Siwei Zhang; Otmar Hilliges; Fisher Yu 001; Siyu Tang 001 (ECCV (6), 2022)

On the Practicality of Deterministic Epistemic Uncertainty. - Janis Postels; Mattia Segù; Tao Sun 019; Luca Daniel Sieber; Luc Van Gool; Fisher Yu 001; Federico Tombari (ICML, 2022)

Fast Hierarchical Learning for Few-Shot Object Detection. - Yihang She; Goutam Bhat; Martin Danelljan; Fisher Yu 001 (IROS, 2022)

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. - Andreas Lugmayr; Martin Danelljan; Fisher Yu 001; Luc Van Gool; Radu Timofte (WACV, 2022)

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. - Qi Fan; Mattia Segù; Yu-Wing Tai; Fisher Yu 001; Chi-Keung Tang; Bernt Schiele; Dengxin Dai (CoRR, 2022)

3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers. - Changyong Shu; Fisher Yu 001; Yifan Liu 001 (CoRR, 2022)

Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields. - Soomin Lee; Le Chen; Jiahao Wang 001; Alexander Liniger; Suryansh Kumar 001; Fisher Yu 001 (IEEE Robotics Autom. Lett., 2022)

Maskomaly: Zero-Shot Mask Anomaly Segmentation. - Jan Ackermann; Christos Sakaridis; Fisher Yu 001 (BMVC, 2023)

Mask-Free Video Instance Segmentation. - Lei Ke; Martin Danelljan; Henghui Ding; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu 001 (CVPR, 2023)

OVTrack: Open-Vocabulary Multiple Object Tracking. - Siyuan Li 008; Tobias Fischer 004; Lei Ke; Henghui Ding; Martin Danelljan; Fisher Yu 001 (CVPR, 2023)

iDisc: Internal Discretization for Monocular Depth Estimation. - Luigi Piccinelli; Christos Sakaridis; Fisher Yu 001 (CVPR, 2023)

COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. - Zhizheng Liu; Mattia Segù; Fisher Yu 001 (DAGM, 2023)

Dual Aggregation Transformer for Image Super-Resolution. - Zheng Chen 014; Yulun Zhang 001; Jinjin Gu; Linghe Kong; Xiaokang Yang 001; Fisher Yu 001 (ICCV, 2023)

Video OWL-ViT: Temporally-consistent open-world localization in video. - Georg Heigold; Daniel Keysers; Matthias Minderer; Mario Lucic; Alexey A. Gritsenko; Fisher Yu 001; Alex Bewley; Thomas Kipf (ICCV, 2023)

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. - Thomas E. Huang; Yifan Liu 001; Luc Van Gool; Fisher Yu 001 (ICCV, 2023)

MolGrapher: Graph-based Visual Recognition of Chemical Structures. - Lucas Morin; Martin Danelljan; Maria Isabel Agea; Ahmed S. Nassar; Valéry Weber; Ingmar Meijer; Peter W. J. Staar; Fisher Yu 001 (ICCV, 2023)

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. - Aron Schmied; Tobias Fischer 004; Martin Danelljan; Marc Pollefeys; Fisher Yu 001 (ICCV, 2023)

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. - Mattia Segù; Bernt Schiele; Fisher Yu 001 (ICCV, 2023)

3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection. - Changyong Shu; Jiajun Deng; Fisher Yu 001; Yifan Liu 001 (ICCV, 2023)

Cascade-DETR: Delving into High-Quality Universal Object Detection. - Mingqiao Ye; Lei Ke; Siyuan Li 008; Yu-Wing Tai; Chi-Keung Tang; Martin Danelljan; Fisher Yu 001 (ICCV, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - 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; et al. (ICCV (Workshops), 2023)

Towards Robust Object Detection Invariant to Real-World Domain Shifts. - Qi Fan; Mattia Segù; Yu-Wing Tai; Fisher Yu 001; Chi-Keung Tang; Bernt Schiele; Dengxin Dai (ICLR, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

BiBench: Benchmarking and Analyzing Network Binarization. - Haotong Qin; Mingyuan Zhang; Yifu Ding; Aoyu Li; Zhongang Cai; Ziwei Liu 002; Fisher Yu 001; Xianglong Liu 001 (ICML, 2023)

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. - Zhejun Zhang; Alexander Liniger; Dengxin Dai; Fisher Yu 001; Luc Van Gool (ICRA, 2023)

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. - Nick Bührer; Zhejun Zhang; Alexander Liniger; Fisher Yu 001; Luc Van Gool (IROS, 2023)

Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. - Jiawei Fu 003; Yunlong Song; Yan Wu; Fisher Yu 001; Davide Scaramuzza 001 (IROS, 2023)

Segment Anything in High Quality. - Lei Ke; Mingqiao Ye; Martin Danelljan; Yifan Liu 001; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu 001 (NeurIPS, 2023)

BiMatting: Efficient Video Matting via Binarization. - Haotong Qin; Lei Ke; Xudong Ma; Martin Danelljan; Yu-Wing Tai; Chi-Keung Tang; Xianglong Liu 001; Fisher Yu 001 (NeurIPS, 2023)

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. - Haotong Qin; Yulun Zhang 001; Yifu Ding; Yifan Liu 001; Xianglong Liu 001; Martin Danelljan; Fisher Yu 001 (NeurIPS, 2023)

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. - Zhejun Zhang; Alexander Liniger; Christos Sakaridis; Fisher Yu 001; Luc Van Gool (NeurIPS, 2023)

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. - Junting Chen; Guohao Li 001; Suryansh Kumar 001; Bernard Ghanem; Fisher Yu 001 (Robotics: Science and Systems, 2023)

Composite Learning for Robust and Effective Dense Predictions. - Menelaos Kanakis; Thomas E. Huang; David Brüggemann; Fisher Yu 001; Luc Van Gool (WACV, 2023)

Spatio-Temporal Action Detection Under Large Motion. - Gurkirt Singh; Vasileios Choutas; Suman Saha 001; Fisher Yu 001; Luc Van Gool (WACV, 2023)

Dense Prediction with Attentive Feature Aggregation. - Yung-Hsu Yang; Thomas E. Huang; Min Sun 001; Samuel Rota Bulò; Peter Kontschieder; Fisher Yu 001 (WACV, 2023)

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. - Yiming Li 003; Sihang Li 001; Xinhao Liu 003; Moonjun Gong; Kenan Li; Nuo Chen 003; Zijun Wang; Zhiheng Li; Tao Jiang; Fisher Yu 001; Yue Wang 036; Hang Zhao; et al. (CoRR, 2023)

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. - Chunming He; Kai Li 012; Yachao Zhang 001; Yulun Zhang 001; Zhenhua Guo 001; Xiu Li 001; Martin Danelljan; Fisher Yu 001 (CoRR, 2023)

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. - Ozan Unal; Christos Sakaridis; Suman Saha 001; Fisher Yu 001; Luc Van Gool (CoRR, 2023)

Monocular Quasi-Dense 3D Object Tracking. - Hou-Ning Hu; Yung-Hsu Yang; Tobias Fischer 004; Trevor Darrell; Fisher Yu 001; Min Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Uncertainty-Driven Dense Two-View Structure From Motion. - Weirong Chen; Suryansh Kumar 001; Fisher Yu 001 (IEEE Robotics Autom. Lett., 2023)

Unifying Flow, Stereo and Depth Estimation. - Haofei Xu; Jing Zhang 037; Jianfei Cai 001; Hamid Rezatofighi; Fisher Yu 001; Dacheng Tao; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. - Tobias Fischer 004; Thomas E. Huang; Jiangmiao Pang; Linlu Qiu; Haofeng Chen; Trevor Darrell; Fisher Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Distilling ODE Solvers of Diffusion Models into Smaller Steps. - Sanghwan Kim; Hao Tang; Fisher Yu 001 (CVPR, 2024)

Matching Anything by Segmenting Anything. - Siyuan Li 008; Lei Ke; Martin Danelljan; Luigi Piccinelli; Mattia Segù; Luc Van Gool; Fisher Yu 001 (CVPR, 2024)

UniDepth: Universal Monocular Metric Depth Estimation. - Luigi Piccinelli; Yung-Hsu Yang; Christos Sakaridis; Mattia Segù; Siyuan Li 008; Luc Van Gool; Fisher Yu 001 (CVPR, 2024)

MuRF: Multi-Baseline Radiance Fields. - Haofei Xu; Anpei Chen; Yuedong Chen; Christos Sakaridis; Yulun Zhang 001; Marc Pollefeys; Andreas Geiger 001; Fisher Yu 001 (CVPR, 2024)

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. - Mattia Segù; Luigi Piccinelli; Siyuan Li 008; Luc Van Gool; Fisher Yu 001; Bernt Schiele (ECCV (8), 2024)

Gaussian Grouping: Segment and Edit Anything in 3D Scenes. - Mingqiao Ye; Martin Danelljan; Fisher Yu 001; Lei Ke (ECCV (29), 2024)

HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution. - Xiang Zhang 022; Yulun Zhang 001; Fisher Yu 001 (ECCV (40), 2024)

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. - Chunming He; Kai Li 012; Yachao Zhang 001; Yulun Zhang 001; Chenyu You; Zhenhua Guo 001; Xiu Li 001; Martin Danelljan; Fisher Yu 001 (ICLR, 2024)

Lightweight Image Super-Resolution via Flexible Meta Pruning. - Yulun Zhang 001; Kai Zhang 008; Luc Van Gool; Martin Danelljan; Fisher Yu 001 (ICML, 2024)

Flexible Residual Binarization for Image Super-Resolution. - Yulun Zhang 001; Haotong Qin; Zixiang Zhao; Xianglong Liu 001; Martin Danelljan; Fisher Yu 001 (ICML, 2024)

ICGNet: A Unified Approach for Instance-Centric Grasping. - René Zurbrügg; Yifan Liu 001; Francis Engelmann; Suryansh Kumar 001; Marco Hutter 001; Vaishakh Patil; Fisher Yu 001 (ICRA, 2024)

DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision. - Yutong Hu 001; Kehan Wen; Fisher Yu 001 (IROS, 2024)

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. - Yiming Li 003; Sihang Li 001; Xinhao Liu 003; Moonjun Gong; Kenan Li; Nuo Chen 003; Zijun Wang; Zhiheng Li; Tao Jiang; Fisher Yu 001; Yue Wang 041; Hang Zhao; et al. (IROS, 2024)

Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. - Xavier Timoneda; Markus Herb; Fabian Duerr; Daniel Goehring; Fisher Yu 001 (IROS, 2024)

S3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. - Zhiyuan Wu; Yi Feng; Chuangwei Liu; Fisher Yu 001; Qijun Chen; Rui Fan 001 (CoRR, 2024)

S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. - Zhiyuan Wu; Yi Feng; Chuangwei Liu; Fisher Yu 001; Qijun Chen; Rui Fan 001 (IEEE Trans. Intell. Veh., 2024)

Segment Anything Meets Point Tracking. - Frano Rajic; Lei Ke; Yu-Wing Tai; Chi-Keung Tang; Martin Danelljan; Fisher Yu 001 (WACV, 2025)

Condition-Invariant Semantic Segmentation. - Christos Sakaridis; David Brüggemann; Fisher Yu 001; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Guest Editorial Introduction to the Special Issue on Segment Anything for Videos and Beyond. - Wenguan Wang; Hengshuang Zhao; Xinggang Wang; Fisher Yu 001; David Crandall (IEEE Trans. Circuits Syst. Video Technol., 2025)