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ORCIDJie Shao 0006
Person information
- affiliation: ByteDance AI Lab., Beijing, China
Other persons with the same name
- Jie Shao — disambiguation page
- Jie Shao 0001
![[0000-0003-2615-1555]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2615-1555")
— University of Electronic Science and Technology of China, Chengdu, China (and 1 more) - Jie Shao 0002 — Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong (and 2 more)
- Jie Shao 0003 — Peking University, Beijing, China
- Jie Shao 0004 — Zhejiang Institute of Hydraulics and Estuary, Hangzhou, China
- Jie Shao 0005 — Chinese Academy of Sciences, Institute of Geology and Geophysics, Beijing, China
- Jie Shao 0007 — University of Maryland, College Park, MD, USA (and 1 more)
- Jie Shao 0008 — Harbin Institute of Technology, Control and Simulation Center, Harbin, China
- Jie Shao 0009 — Southeast University, College of Electronic and Information Engineering, Nanjing, China
- Jie Shao 0010 — Shanghai University of Electric Power, Department of Computer and Information Engineering, China (and 1 more)
- Jie Shao 0011 — Zhengzhou Chenggong University of Finance and Economics, Zhengzhou, China
- Jie Shao 0012 — Qiniu, Shanghai, China
- Jie Shao 0013 — Third Research Institute of the Ministry of Public Security, Shanghai, China
- Jie Shao 0014 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
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2020 – today
- 2021
[c12]Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao:
Mining Contextual Information Beyond Image for Semantic Segmentation. ICCV 2021: 7211-7221- [c11]Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen:
Contrast and Order Representations for Video Self-supervised Learning. ICCV 2021: 7919-7929 - [c10]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML 2021: 11003-11012 - [c9]Lei Ma, Jian Wang, Jie Shao, Liqing Zhang:
Human Parsing with Edge Enhancement. RCAR 2021: 521-526 - [c8]Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue:
Temporal Context Aggregation for Video Retrieval with Contrastive Learning. WACV 2021: 3267-3277 - [i8]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR abs/2107.05545 (2021) - [i7]Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao:
Mining Contextual Information Beyond Image for Semantic Segmentation. CoRR abs/2108.11819 (2021) - 2020
- [c7]Jie Shao, Xiangyang Xue:
Learnable Higher-Order Representation for Action Recognition. ICPR 2020: 9038-9045 - [c6]Jie Shao, Kai Hu, Changhu Wang, Xiangyang Xue, Bhiksha Raj:
Is normalization indispensable for training deep neural network? NeurIPS 2020 - [c5]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS 2020 - [i6]Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue:
Context Encoding for Video Retrieval with Contrastive Learning. CoRR abs/2008.01334 (2020) - [i5]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR abs/2010.10814 (2020)
2010 – 2019
- 2019
- [c4]Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. ICCV Workshops 2019: 701-704 - [c3]Minghui Dong, Jian Wang, Yuanyuan Huang, Dongdong Yu, Kai Su, Kaihui Zhou, Jie Shao, Shiping Wen, Changhu Wang:
Temporal Feature Augmented Network for Video Instance Segmentation. ICCV Workshops 2019: 721-724 - [c2]Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen:
Unsupervised Teacher-Student Model for Large-Scale Video Retrieval. ICCV Workshops 2019: 1863-1867 - [i4]Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. CoRR abs/1909.13583 (2019) - 2018
- [i3]Xiaoteng Zhang, Yixin Bao, Feiyun Zhang, Kai Hu, Yicheng Wang, Liang Zhu, Qinzhu He, Yining Lin, Jie Shao, Yao Peng:
Qiniu Submission to ActivityNet Challenge 2018. CoRR abs/1806.04391 (2018) - [i2]Jie Shao, Kai Hu, Yixin Bao, Yining Lin, Xiangyang Xue:
High Order Neural Networks for Video Classification. CoRR abs/1811.07519 (2018) - 2015
- [c1]Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang:
Multiple Granularity Descriptors for Fine-Grained Categorization. ICCV 2015: 2399-2406 - [i1]Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang:
Learning to Point and Count. CoRR abs/1512.02326 (2015)
Coauthor Index
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