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ORCIDXiao Liu 0022
Person information
- affiliation: Baidu Inc., Department of Computer Vision Technology, Beijing, China
Other persons with the same name
- Xiao Liu — disambiguation page
- Xiao Liu 0001
![[0000-0001-5514-021X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5514-021X")
— University College London, Department of Electronic and Electrical Engineering, UK - Xiao Liu 0002 — Shanghai Jiao Tong University, Department of Industrial Engineering and Management, China (and 4 more)
- Xiao Liu 0003 — South China University of Technology, School of Civil and Transportation Engineering, Guangzhou, China
- Xiao Liu 0004 — Deakin University, School of Information Technology, Melbourne, Australia (and 3 more)
- Xiao Liu 0005 — Tongji University, School of Economics and Management, Shanghai, China
- Xiao Liu 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xiao Liu 0007 — Central South University, School of Information Science and Engineering, Changsha, China
- Xiao Liu 0008 — University of Arizona, Tucson, USA
- Xiao Liu 0009 — University of Technology of Compiègne, France
- Xiao Liu 0010 — Virginia Tech, Blacksburg, VA, USA
- Xiao Liu 0011 — University of California, Berkeley, CA, USA (and 1 more)
- Xiao Liu 0012 — Zhejiang University, College of Computer Science, Hangzhou, China
- Xiao Liu 0013 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Xiao Liu 0014 — Xiamen University, China
- Xiao Liu 0015 — Carnegie Mellon University, Tepper School of Business, Pittsburgh, PA, USA
- Xiao Liu 0016 — University of Utah, Salt Lake City, USA
- Xiao Liu 0017 — University of International Business and Economics, School of Banking and Finance, Beijing, China
- Xiao Liu 0018 — Queen Mary University of London, School of Electronic Engineering and Computer Science, London, UK
- Xiao Liu 0019 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Xiao Liu 0020 — Dalhousie University, Department of Electrical and Computer Engineering, Halifax, Canada
- Xiao Liu 0021 — Shanxi Transportation Research Institute, Shanxi Engineering Research Center for Road Intelligent Monitoring, Taiyuan, China
- Xiao Liu 0023 — Sun Yat-sen University, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China
- Xiao Liu 0024 — University of Maryland Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
- Xiao Liu 0025 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (and 1 more)
- Xiao Liu 0026 — China University of Geosciences, Three Gorges Research Center for Geo-Hazards of the Ministry of Education, Wuhan, China
- Xiao Liu 0027 — Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Xiao Liu 0028 — Beihang University, School of Biological Science and Medical Engineering, Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing, China
- Xiao Liu 0029 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Xiao Liu 0030 — Tongji University, School of Software Engineering, Shanghai, China
- Xiao Liu 0031 — National University of Defense Technology, College of Computer Science and Technology, Changsha, China
- Xiao Liu 0032 — Wangxuan Institute of Computer Technology, Peking University, Beijing, China
- Xiao Liu 0033 — University of California San Diego, La Jolla, CA, USA
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2020 – today
- 2021
[j1]Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang:
Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness. IEEE Trans. Image Process. 30: 4855-4866 (2021)- [i19]Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang:
Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness. CoRR abs/2104.13743 (2021) - 2020
- [c15]Xin Li, Tianwei Lin, Xiao Liu, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen, Chuang Gan:
Deep Concept-wise Temporal Convolutional Networks for Action Localization. ACM Multimedia 2020: 4004-4012
2010 – 2019
- 2019
- [c14]Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen:
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos. AAAI 2019: 8393-8400 - [c13]Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. AAAI 2019: 8401-8408 - [c12]Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen:
Adapting Image Super-Resolution State-Of-The-Arts and Learning Multi-Model Ensemble for Video Super-Resolution. CVPR Workshops 2019: 2033-2040 - [c11]Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen:
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. CVPR 2019: 3673-3682 - [c10]Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen:
BMN: Boundary-Matching Network for Temporal Action Proposal Generation. ICCV 2019: 3888-3897 - [c9]Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting With Learnable Bidirectional Attention Maps. ICCV 2019: 8857-8866 - [i18]Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen:
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos. CoRR abs/1901.06829 (2019) - [i17]Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen:
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. CoRR abs/1904.09709 (2019) - [i16]Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen:
Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution. CoRR abs/1905.02462 (2019) - [i15]Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen:
BMN: Boundary-Matching Network for Temporal Action Proposal Generation. CoRR abs/1907.09702 (2019) - [i14]Xin Li, Tianwei Lin, Xiao Liu, Chuang Gan, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen:
Deep Concept-wise Temporal Convolutional Networks for Action Localization. CoRR abs/1908.09442 (2019) - [i13]Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting with Learnable Bidirectional Attention Maps. CoRR abs/1909.00968 (2019) - [i12]Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen:
TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation. CoRR abs/1910.05899 (2019) - 2018
- [c8]Xiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen:
Multimodal Keyless Attention Fusion for Video Classification. AAAI 2018: 7202-7209 - [c7]Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen:
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. CVPR 2018: 7834-7843 - [c6]Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma:
Fine-Grained Video Categorization with Redundancy Reduction Attention. ECCV (5) 2018: 139-155 - [c5]Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis:
3D Pose Estimation for Fine-Grained Object Categories. ECCV Workshops (1) 2018: 619-632 - [i11]Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis:
3D Pose Estimation for Fine-Grained Object Categories. CoRR abs/1806.04314 (2018) - [i10]Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis:
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories. CoRR abs/1810.09263 (2018) - [i9]Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma:
Fine-grained Video Categorization with Redundancy Reduction Attention. CoRR abs/1810.11189 (2018) - [i8]Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. CoRR abs/1811.01549 (2018) - 2017
- [c4]Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. AAAI 2017: 4190-4196 - [c3]Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie:
Kernel Pooling for Convolutional Neural Networks. CVPR 2017: 3049-3058 - [c2]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. ICCV 2017: 2612-2620 - [c1]Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu:
Dynamic Computational Time for Visual Attention. ICCV Workshops 2017: 1199-1209 - [i7]Zhichao Li, Yi Yang, Xiao Liu, Shilei Wen, Wei Xu:
Dynamic Computational Time for Visual Attention. CoRR abs/1703.10332 (2017) - [i6]Fu Li, Chuang Gan, Xiao Liu, Yunlong Bian, Xiang Long, Yandong Li, Zhichao Li, Jie Zhou, Shilei Wen:
Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding. CoRR abs/1707.04555 (2017) - [i5]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. CoRR abs/1708.01682 (2017) - [i4]Yunlong Bian, Chuang Gan, Xiao Liu, Fu Li, Xiang Long, Yandong Li, Heng Qi, Jie Zhou, Shilei Wen, Yuanqing Lin:
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification. CoRR abs/1708.03805 (2017) - [i3]Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen:
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. CoRR abs/1711.09550 (2017) - 2016
- [i2]Xiao Liu, Tian Xia, Jiang Wang, Yuanqing Lin:
Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition. CoRR abs/1603.06765 (2016) - [i1]Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. CoRR abs/1605.06217 (2016)
Coauthor Index
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