Zhirong Wu

According to our database, Zhirong Wu authored at least 35 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

ImTooth: Neural Implicit Tooth for Dental Augmented Reality.

Hai Li, Hongjia Zhai, Xingrui Yang, Zhirong Wu, Yihao Zheng, Haofan Wang, Jianchao Wu, Hujun Bao, Guofeng Zhang

IEEE Trans. Vis. Comput. Graph., 2023

Extreme Masking for Learning Instance and Distributed Visual Representations.

Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin

Trans. Mach. Learn. Res., 2023

Exploring Transferability for Randomized Smoothing.

Kai Qiu, Huishuai Zhang, Zhirong Wu, Stephen Lin

CoRR, 2023

NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining.

Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu

CoRR, 2023

Associative Transformer Is A Sparse Representation Learner.

Yuwei Sun, Hideya Ochiai, Zhirong Wu, Stephen Lin, Ryota Kanai

CoRR, 2023

ClipCrop: Conditioned Cropping Driven by Vision-Language Model.

Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-Shot Generative Domain Adaptation.

Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning.

Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping.

Long Lian, Zhirong Wu, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy.

Long Lian, Zhirong Wu, Stella X. Yu

CoRR, 2022

Randomized Quantization for Data Agnostic Representation Learning.

Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu

CoRR, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

CoRR, 2022

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance.

Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato

Proceedings of the Computer Vision - ECCV 2022, 2022

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion.

Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato

Proceedings of the Computer Vision - ECCV 2022, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation.

Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Tokenized Human Dynamics Representation.

Kenneth Li, Xiao Sun, Zhirong Wu, Fangyun Wei, Stephen Lin

CoRR, 2021

Aligning Pretraining for Detection via Object-Level Contrastive Learning.

Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos.

Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

What Makes Instance Discrimination Good for Transfer Learning?

Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

Instance Localization for Self-Supervised Detection Pretraining.

Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Localization for Self-Supervised Representation Learning.

Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination.

Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Temporal Action Detection with Structured Segment Networks.

Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin

Int. J. Comput. Vis., 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, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

A Transductive Approach for Video Object Segmentation.

Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Metric Transfer for Label Propagation with Limited Annotated Data.

Bin Liu, Zhirong Wu, Han Hu, Stephen Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination.

Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin

CoRR, 2018

Improving Generalization via Scalable Neighborhood Component Analysis.

Zhirong Wu, Alexei A. Efros, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Feature Learning via Non-Parametric Instance Discrimination.

Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Deep Markov Random Field for Image Modeling.

Zhirong Wu, Dahua Lin, Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Adjustable Bounded Rectifiers: Towards Deep Binary Representations.

Zhirong Wu, Dahua Lin, Xiaoou Tang

CoRR, 2015

3D ShapeNets: A deep representation for volumetric shapes.

Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction.

Zhirong Wu, Shuran Song, Aditya Khosla, Xiaoou Tang, Jianxiong Xiao

CoRR, 2014