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ORCIDZhirong Wu
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2020 – today
- 2024
[j4]Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu:
NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j3]Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin:
Extreme Masking for Learning Instance and Distributed Visual Representations. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Hai Li
, Hongjia Zhai, Xingrui Yang, Zhirong Wu, Yihao Zheng, Haofan Wang, Jianchao Wu, Hujun Bao, Guofeng Zhang:
ImTooth: Neural Implicit Tooth for Dental Augmented Reality. IEEE Trans. Vis. Comput. Graph. 29(5): 2837-2846 (2023) - [c23]Long Lian, Zhirong Wu, Stella X. Yu:
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CVPR 2023: 14582-14591 - [c22]Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou:
One-Shot Generative Domain Adaptation. ICCV 2023: 7699-7708 - [c21]Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. ICCV 2023: 16259-16270 - [c20]Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato:
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. ICCV (Workshops) 2023: 294-304 - [i28]Long Lian, Zhirong Wu, Stella X. Yu:
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CoRR abs/2304.08025 (2023) - [i27]Yuwei Sun, Hideya Ochiai, Zhirong Wu, Stephen Lin, Ryota Kanai:
Associative Transformer Is A Sparse Representation Learner. CoRR abs/2309.12862 (2023) - [i26]Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu:
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining. CoRR abs/2310.07402 (2023) - [i25]Kai Qiu, Huishuai Zhang, Zhirong Wu, Stephen Lin:
Exploring Transferability for Randomized Smoothing. CoRR abs/2312.09020 (2023) - 2022
- [c19]Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin:
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. CVPR 2022: 5110-5120 - [c18]Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR 2022: 14627-14637 - [c17]Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato:
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. ECCV (7) 2022: 233-249 - [c16]Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato:
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. ECCV (19) 2022: 599-615 - [i24]Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR abs/2201.01490 (2022) - [i23]Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin:
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. CoRR abs/2203.04287 (2022) - [i22]Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato:
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. CoRR abs/2203.06451 (2022) - [i21]Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin:
Extreme Masking for Learning Instance and Distributed Visual Representations. CoRR abs/2206.04667 (2022) - [i20]Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato:
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. CoRR abs/2207.10123 (2022) - [i19]Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato:
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR abs/2211.11492 (2022) - [i18]Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization for Data Agnostic Representation Learning. CoRR abs/2212.08663 (2022) - [i17]Long Lian, Zhirong Wu, Stella X. Yu:
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR abs/2212.08816 (2022) - 2021
- [c15]Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. AAAI 2021: 2773-2781 - [c14]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. AAAI 2021: 10990-10998 - [c13]Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin:
Instance Localization for Self-Supervised Detection Pretraining. CVPR 2021: 3987-3996 - [c12]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021 - [c11]Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS 2021: 13137-13152 - [c10]Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin:
Aligning Pretraining for Detection via Object-Level Contrastive Learning. NeurIPS 2021: 22682-22694 - [i16]Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin:
Instance Localization for Self-supervised Detection Pretraining. CoRR abs/2102.08318 (2021) - [i15]Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin:
Aligning Pretraining for Detection via Object-Level Contrastive Learning. CoRR abs/2106.02637 (2021) - [i14]Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. CoRR abs/2111.06394 (2021) - [i13]Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou:
One-Shot Generative Domain Adaptation. CoRR abs/2111.09876 (2021) - [i12]Kenneth Li, Xiao Sun, Zhirong Wu, Fangyun Wei, Stephen Lin:
Towards Tokenized Human Dynamics Representation. CoRR abs/2111.11433 (2021) - 2020
- [j1]Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin:
Temporal Action Detection with Structured Segment Networks. Int. J. Comput. Vis. 128(1): 74-95 (2020) - [c9]Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin:
A Transductive Approach for Video Object Segmentation. CVPR 2020: 6947-6956 - [c8]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:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [i11]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. CoRR abs/2004.06638 (2020) - [i10]Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin:
A Transductive Approach for Video Object Segmentation. CoRR abs/2004.07193 (2020) - [i9]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
What makes instance discrimination good for transfer learning? CoRR abs/2006.06606 (2020) - [i8]Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. CoRR abs/2008.01068 (2020)
2010 – 2019
- 2019
- [c7]Bin Liu, Zhirong Wu, Han Hu, Stephen Lin:
Deep Metric Transfer for Label Propagation with Limited Annotated Data. ICCV Workshops 2019: 1317-1326 - [c6]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:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - 2018
- [c5]Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance Discrimination. CVPR 2018: 3733-3742 - [c4]Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. ECCV (7) 2018: 712-728 - [i7]Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. CoRR abs/1805.01978 (2018) - [i6]Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. CoRR abs/1808.04699 (2018) - [i5]Bin Liu, Zhirong Wu, Han Hu, Stephen Lin:
Deep Metric Transfer for Label Propagation with Limited Annotated Data. CoRR abs/1812.08781 (2018) - 2017
- [c3]Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin:
Temporal Action Detection with Structured Segment Networks. ICCV 2017: 2933-2942 - [i4]Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Dahua Lin, Xiaoou Tang:
Temporal Action Detection with Structured Segment Networks. CoRR abs/1704.06228 (2017) - 2016
- [c2]Zhirong Wu, Dahua Lin, Xiaoou Tang:
Deep Markov Random Field for Image Modeling. ECCV (8) 2016: 295-312 - [i3]Zhirong Wu, Dahua Lin, Xiaoou Tang:
Deep Markov Random Field for Image Modeling. CoRR abs/1609.02036 (2016) - 2015
- [c1]Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao:
3D ShapeNets: A deep representation for volumetric shapes. CVPR 2015: 1912-1920 - [i2]Zhirong Wu, Dahua Lin, Xiaoou Tang:
Adjustable Bounded Rectifiers: Towards Deep Binary Representations. CoRR abs/1511.06201 (2015) - 2014
- [i1]Zhirong Wu, Shuran Song, Aditya Khosla, Xiaoou Tang, Jianxiong Xiao:
3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction. CoRR abs/1406.5670 (2014)
Coauthor Index
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