3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction. - Zhirong Wu; Shuran Song; Aditya Khosla; Xiaoou Tang; Jianxiong Xiao (CoRR, 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)

Adjustable Bounded Rectifiers: Towards Deep Binary Representations. - Zhirong Wu; Dahua Lin; Xiaoou Tang (CoRR, 2015)

Deep Markov Random Field for Image Modeling. - Zhirong Wu; Dahua Lin; Xiaoou Tang (ECCV (8), 2016)

Unsupervised Feature Learning via Non-Parametric Instance Discrimination. - Zhirong Wu; Yuanjun Xiong; Stella X. Yu; Dahua Lin (CVPR, 2018)

Improving Generalization via Scalable Neighborhood Component Analysis. - Zhirong Wu; Alexei A. Efros; Stella X. Yu (ECCV (7), 2018)

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. - Zhirong Wu; Yuanjun Xiong; Stella X. Yu; Dahua Lin (CoRR, 2018)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Deep Metric Transfer for Label Propagation with Limited Annotated Data. - Bin Liu 035; Zhirong Wu; Han Hu 001; Stephen Lin 001 (ICCV Workshops, 2019)

A Transductive Approach for Video Object Segmentation. - Yizhuo Zhang; Zhirong Wu; Houwen Peng; Stephen Lin 001 (CVPR, 2020)

The Eighth Visual Object Tracking VOT2020 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Linbo He; Yushan Zhang; et al. (ECCV Workshops (5), 2020)

Temporal Action Detection with Structured Segment Networks. - Yue Zhao 006; Yuanjun Xiong; Limin Wang 002; Zhirong Wu; Xiaoou Tang; Dahua Lin (Int. J. Comput. Vis., 2020)

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. - Peng-Shuai Wang; Yu-Qi Yang; Qian-Fang Zou 001; Zhirong Wu; Yang Liu 014; Xin Tong 001 (AAAI, 2021)

Distilling Localization for Self-Supervised Representation Learning. - Nanxuan Zhao; Zhirong Wu; Rynson W. H. Lau; Stephen Lin 001 (AAAI, 2021)

Instance Localization for Self-Supervised Detection Pretraining. - Ceyuan Yang; Zhirong Wu; Bolei Zhou; Stephen Lin 001 (CVPR, 2021)

What Makes Instance Discrimination Good for Transfer Learning? - Nanxuan Zhao; Zhirong Wu; Rynson W. H. Lau; Stephen Lin 001 (ICLR, 2021)

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. - Runtao Liu; Zhirong Wu; Stella X. Yu; Stephen Lin 001 (NeurIPS, 2021)

Aligning Pretraining for Detection via Object-Level Contrastive Learning. - Fangyun Wei; Yue Gao; Zhirong Wu; Han Hu 001; Stephen Lin 001 (NeurIPS, 2021)

Towards Tokenized Human Dynamics Representation. - Kenneth Li 002; Xiao Sun 001; Zhirong Wu; Fangyun Wei; Stephen Lin 001 (CoRR, 2021)

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. - Yutong Chen; Fangyun Wei; Xiao Sun 001; Zhirong Wu; Stephen Lin 001 (CVPR, 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CVPR, 2022)

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. - Zhihang Zhong; Mingdeng Cao; Xiao Sun 001; Zhirong Wu; Zhongyi Zhou; Yinqiang Zheng; Stephen Lin 001; Imari Sato (ECCV (7), 2022)

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. - Zhihang Zhong; Xiao Sun 001; Zhirong Wu; Yinqiang Zheng; Stephen Lin 001; Imari Sato (ECCV (19), 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CoRR, 2022)

Randomized Quantization for Data Agnostic Representation Learning. - Huimin Wu 001; Chenyang Lei; Xiao Sun 001; Peng-Shuai Wang; Qifeng Chen; Kwang-Ting Cheng; Stephen Lin 001; Zhirong Wu (CoRR, 2022)

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. - Long Lian; Zhirong Wu; Stella X. Yu (CoRR, 2022)

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. - Long Lian; Zhirong Wu; Stella X. Yu (CVPR, 2023)

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. - Huimin Wu 001; Chenyang Lei; Xiao Sun 001; Peng-Shuai Wang; Qifeng Chen; Kwang-Ting Cheng; Stephen Lin 001; Zhirong Wu (ICCV, 2023)

One-Shot Generative Domain Adaptation. - Ceyuan Yang; Yujun Shen; Zhiyi Zhang; Yinghao Xu 001; Jiapeng Zhu 001; Zhirong Wu; Bolei Zhou (ICCV, 2023)

ClipCrop: Conditioned Cropping Driven by Vision-Language Model. - Zhihang Zhong; Mingxi Cheng; Zhirong Wu; Yuhui Yuan; Yinqiang Zheng; Ji Li 006; Han Hu 001; Stephen Lin 001; Yoichi Sato 001; Imari Sato (ICCV (Workshops), 2023)

Associative Transformer Is A Sparse Representation Learner. - Yuwei Sun; Hideya Ochiai; Zhirong Wu; Stephen Lin 001; Ryota Kanai (CoRR, 2023)

Exploring Transferability for Randomized Smoothing. - Kai Qiu; Huishuai Zhang; Zhirong Wu; Stephen Lin 001 (CoRR, 2023)

Extreme Masking for Learning Instance and Distributed Visual Representations. - Zhirong Wu; Zihang Lai; Xiao Sun 001; Stephen Lin 001 (Trans. Mach. Learn. Res., 2023)

ImTooth: Neural Implicit Tooth for Dental Augmented Reality. - Hai Li; Hongjia Zhai; Xingrui Yang 001; Zhirong Wu; Yihao Zheng; Haofan Wang; Jianchao Wu; Hujun Bao; Guofeng Zhang 001 (IEEE Trans. Vis. Comput. Graph., 2023)

NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining. - Chenguo Lin; Xumeng Wen; Wei Cao 007; Congrui Huang; Jiang Bian 002; Stephen Lin 001; Zhirong Wu (Trans. Mach. Learn. Res., 2024)

Associative Transformer. - Yuwei Sun; Hideya Ochiai; Zhirong Wu; Stephen Lin 001; Ryota Kanai (CVPR, 2025)

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning. - Tian Xie; Zitian Gao; Qingnan Ren; Haoming Luo; Yuqian Hong; Bryan Dai; Joey Zhou; Kai Qiu; Zhirong Wu; Chong Luo (CoRR, 2025)

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model. - Xiaodong Wang; Zhirong Wu; Peixi Peng (CoRR, 2025)

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs. - Xumeng Wen; Zihan Liu; Shun Zheng 001; Zhijian Xu; Shengyu Ye; Zhirong Wu; Xiao Liang; Yang Wang 053; Junjie Li; Ziming Miao; Jiang Bian 002; Mao Yang 004 (CoRR, 2025)