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Zhirong 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
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
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. ECCV (7) 2022: 233-249 - [c16]Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng
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
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
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
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
Temporal Action Detection with Structured Segment Networks. Int. J. Comput. Vis. 128(1): 74-95 (2020) - [c9]Yizhuo Zhang
A Transductive Approach for Video Object Segmentation. CVPR 2020: 6947-6956 - [c8]Matej Kristan, Ales Leonardis, Jiri Matas
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
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
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
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
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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last updated on 2024-12-08 01:29 CET by the dblp team
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