Fisher Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
88
Venues
12
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
88 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Any Detector Can Detect Anything. | Thomas E. Huang, Siyuan Li, Martin Danelljan, Henghui Ding, Luc Van Gool, Fisher Yu |
| 2025 | WACV | Segment Anything Meets Point Tracking. | Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu |
| 2024 | CVPR | Distilling ODE Solvers of Diffusion Models into Smaller Steps. | Sanghwan Kim, Hao Tang, Fisher Yu |
| 2024 | CVPR | Matching Anything by Segmenting Anything. | Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Seg, Luc Van Gool, Fisher Yu |
| 2024 | CVPR | UniDepth: Universal Monocular Metric Depth Estimation. | Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Seg, Siyuan Li, Luc Van Gool, Fisher Yu |
| 2024 | CVPR | MuRF: Multi-Baseline Radiance Fields. | Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu |
| 2024 | ECCV | Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. | Mattia Seg, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele |
| 2024 | ECCV | Gaussian Grouping: Segment and Edit Anything in 3D Scenes. | Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke |
| 2024 | ECCV | HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution. | Xiang Zhang, Yulun Zhang, Fisher Yu |
| 2024 | ICLR | Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. | Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu |
| 2024 | ICML | Lightweight Image Super-Resolution via Flexible Meta Pruning. | Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu |
| 2024 | ICML | Flexible Residual Binarization for Image Super-Resolution. | Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu |
| 2024 | IROS | DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision. | Yutong Hu, Kehan Wen, Fisher Yu |
| 2024 | IROS | SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. | 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 | IROS | Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. | Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu |
| 2024 | ICRA | ICGNet: A Unified Approach for Instance-Centric Grasping. | Ren Zurbrgg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu |
| 2023 | BMVC | Maskomaly: Zero-Shot Mask Anomaly Segmentation. | Jan Ackermann, Christos Sakaridis, Fisher Yu |
| 2023 | CVPR | Mask-Free Video Instance Segmentation. | Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu |
| 2023 | CVPR | OVTrack: Open-Vocabulary Multiple Object Tracking. | Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu |
| 2023 | CVPR | iDisc: Internal Discretization for Monocular Depth Estimation. | Luigi Piccinelli, Christos Sakaridis, Fisher Yu |
| 2023 | ICCV | Dual Aggregation Transformer for Image Super-Resolution. | Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu |
| 2023 | ICCV | Video OWL-ViT: Temporally-consistent open-world localization in video. | Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf |
| 2023 | ICCV | Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. | Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu |
| 2023 | ICCV | MolGrapher: Graph-based Visual Recognition of Chemical Structures. | Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu |
| 2023 | ICCV | R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. | Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu |
| 2023 | ICCV | DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. | Mattia Seg, Bernt Schiele, Fisher Yu |
| 2023 | ICCV | 3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection. | Changyong Shu, Jiajun Deng, Fisher Yu, Yifan Liu |
| 2023 | ICCV | Cascade-DETR: Delving into High-Quality Universal Object Detection. | Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu |
| 2023 | ICLR | Towards Robust Object Detection Invariant to Real-World Domain Shifts. | Qi Fan, Mattia Seg, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | 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 | ICML | BiBench: Benchmarking and Analyzing Network Binarization. | Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu |
| 2023 | IROS | A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. | Nick Bhrer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool |
| 2023 | IROS | Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. | Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza |
| 2023 | ICRA | TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. | Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2023 | WACV | Composite Learning for Robust and Effective Dense Predictions. | Menelaos Kanakis, Thomas E. Huang, David Brggemann, Fisher Yu, Luc Van Gool |
| 2023 | WACV | Spatio-Temporal Action Detection Under Large Motion. | Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool |
| 2023 | WACV | Dense Prediction with Attentive Feature Aggregation. | Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bul, Peter Kontschieder, Fisher Yu |
| 2023 | SP | Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities. | Ertem Nusret Tas, David Tse, Fangyu Gai, Sreeram Kannan, Mohammad Ali Maddah-Ali, Fisher Yu |
| 2022 | CoRL | CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. | Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu |
| 2022 | CVPR | Transforming Model Prediction for Tracking. | Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool |
| 2022 | CVPR | LiDAR Snowfall Simulation for Robust 3D Object Detection. | Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Mask Transfiner for High-Quality Instance Segmentation. | Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu |
| 2022 | CVPR | RePaint: Inpainting using Denoising Diffusion Probabilistic Models. | Andreas Lugmayr, Martin Danelljan, Andrs Romero, Fisher Yu, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. | Tao Sun, Mattia Seg, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu |
| 2022 | CVPR | Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. | Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool |
| 2022 | CVPR | Generative Cooperative Learning for Unsupervised Video Anomaly Detection. | Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Seg, Fisher Yu, Seung-Ik Lee |
| 2022 | ECCV | TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. | Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool |
| 2022 | ECCV | Video Mask Transfiner for High-Quality Video Instance Segmentation. | Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu |
| 2022 | ECCV | The Tenth Visual Object Tracking VOT2022 Challenge Results. | Matej Kristan, Ales Leonardis, Jir Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Bjrklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernndez, 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 Jremo 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 | ECCV | Tracking Every Thing in the Wild. | Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu |
| 2022 | ECCV | Learning Online Multi-sensor Depth Fusion. | Erik Sandstrm, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool |
| 2022 | ECCV | SAGA: Stochastic Whole-Body Grasping with Contact. | Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang |
| 2022 | ICML | On the Practicality of Deterministic Epistemic Uncertainty. | Janis Postels, Mattia Seg, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari |
| 2022 | IROS | Fast Hierarchical Learning for Few-Shot Object Detection. | Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu |
| 2022 | WACV | Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. | Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | Quasi-Dense Similarity Learning for Multiple Object Tracking. | Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu |
| 2021 | ICCV | Robust Object Detection via Instance-Level Temporal Cycle Confusion. | Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell |
| 2021 | ICCV | Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. | Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte |
| 2021 | ICCV | Warp Consistency for Unsupervised Learning of Dense Correspondences. | Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool |
| 2021 | ICCV | Exploring Cross-Image Pixel Contrast for Semantic Segmentation. | Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool |
| 2021 | ICCV | End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. | Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2021 | ICRA | Instance-Aware Predictive Navigation in Multi-Agent Environments. | Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu |
| 2020 | CVPR | BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. | Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell |
| 2020 | CVPR | Learning Saliency Propagation for Semi-Supervised Instance Segmentation. | Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu |
| 2020 | ICML | Frustratingly Simple Few-Shot Object Detection. | Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu |
| 2019 | CVPR | TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. | Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez |
| 2019 | CVPR | Hierarchical Discrete Distribution Decomposition for Match Density Estimation. | Zhichao Yin, Trevor Darrell, Fisher Yu |
| 2019 | ICCV | Disentangling Propagation and Generation for Video Prediction. | Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell |
| 2019 | ICCV | Joint Monocular 3D Vehicle Detection and Tracking. | Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krhenbhl, Trevor Darrell, Fisher Yu |
| 2019 | ICCV | Few-Shot Object Detection via Feature Reweighting. | Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell |
| 2019 | ICRA | Semantic Predictive Control for Explainable and Efficient Policy Learning. | Xinlei Pan, Xiangyu Chen, Qi-Zhi Cai, John F. Canny, Fisher Yu |
| 2019 | ICRA | Deep Object-Centric Policies for Autonomous Driving. | Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell |
| 2019 | UAI | Deep Mixture of Experts via Shallow Embedding. | Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez |
| 2018 | CVPR | PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. | Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein |
| 2018 | CVPR | TextureGAN: Controlling Deep Image Synthesis With Texture Patches. | Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays |
| 2018 | CVPR | Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2018 | ECCV | SkipNet: Learning Dynamic Routing in Convolutional Networks. | Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez |
| 2018 | ECCV | Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. | Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song |
| 2018 | ICLR | Reinforcement Learning from Imperfect Demonstrations. | Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell |
| 2018 | ICLR | Learning Rich Image Representation with Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2018 | UAI | IDK Cascades: Fast Deep Learning by Learning not to Overthink. | Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez |
| 2017 | CVPR | Scribbler: Controlling Deep Image Synthesis with Sketch and Color. | Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays |
| 2017 | CVPR | Semantic Scene Completion from a Single Depth Image. | Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser |
| 2017 | CVPR | End-to-End Learning of Driving Models from Large-Scale Video Datasets. | Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell |
| 2017 | CVPR | Dilated Residual Networks. | Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser |
| 2015 | CVPR | 3D ShapeNets: A deep representation for volumetric shapes. | Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao |
| 2015 | CVPR | Semantic alignment of LiDAR data at city scale. | Fisher Yu, Jianxiong Xiao, Thomas A. Funkhouser |
| 2014 | CVPR | 3D Reconstruction from Accidental Motion. | Fisher Yu, David Gallup |