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ORCIDLi Liu 0004
刘力
Person information
- unicode name: 刘力
- affiliation: Inception Institute of Artificial Intelligence, Abu Dhabi, UAE
- affiliation (former): JD Artificial Intelligence Research (JDAIR), Beijing, China
- affiliation (former): Malong Technologies Company, Ltd., Shenzhen, China
- affiliation (former): Nanjing University of Information Science and Technology, China
- affiliation (former): Northumbria University, Newcastle upon Tyne, UK
- affiliation (former): University of East Anglia, School of Computing Sciences, Norwich, UK
- affiliation (PhD 2014): University of Sheffield, Department of Electronic and Electrical Engineering, UK
Other persons with the same name
- Li Liu — disambiguation page
- Li Liu 0001
![[0000-0002-4776-5292]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4776-5292")
— Chongqing University, School of Software Engineering, China (and 3 more) - Li Liu 0002 — University of Oulu, Center for Machine Vision and Signal Analysis, Oulu, Finland (and 3 more)
- Li Liu 0003 — Umea University, Sweden
- Li Liu 0005 — The University of Sydney, Australia
- Li Liu 0006 — Zheijiang University, Hangzhou, China
- Li Liu 0007 — Controls-Common Cummins Inc., Columbus, IN, USA
- Li Liu 0008 — Arizona State University, Tempe, AZ, USA (and 1 more)
- Li Liu 0009 — FutureWei Technologies, CA, USA (and 1 more)
- Li Liu 0010 — University of Shanghai for Science and Technology, Engineering Research Center of Optical Instrument and System, China (and 1 more)
- Li Liu 0011 — University of Science and Technology, Beijing, China
- Li Liu 0012 — University of California, Irvine, CA, USA
- Li Liu 0013 — Dalian University of Technology, School of Software, Dalian, China (and 1 more)
- Li Liu 0014 — Huazhong University of Science and Technology, Wuhan, China
- Li Liu 0015 — Beijing Normal University, China
- Li Liu 0016 — California State University, Department of Computer Science, Northridge, CA, USA (and 3 more)
- Li Liu 0017 — Chinese University of Hong Kong, Department of Electronic Engineering, Robotics, Perception, and Artificial Intelligence Lab, Hong Kong (and 3 more)
- Li Liu 0018 — Nanyang Technology University, Singapore
- Li Liu 0019 (aka: Li Michael Liu) — Peking University, China (and 1 more)
- Li Liu 0020 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Li Liu 0021 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Li Liu 0022 — Hohai University, Department of Information and Communication Systems, Changzhou, China
- Li Liu 0023 — Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more)
- Li Liu 0024 — Tianjin University, School of Electronics and Information Engineering, China (and 1 more)
- Li Liu 0026 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Li Liu 0027 — Hefei University of Technology, School of Mathematics, China
- Li Liu 0028 — Soochow University, Suzhou, Jiangsu, China (and 1 more)
- Li Liu 0029 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Li Liu 0030 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China (and 2 more)
- Li Liu 0031 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Li Liu 0032 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Lab of Yunnan Province, Kunming, China (and 1 more)
- Li Liu 0033 — University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia
- Li Liu 0034 — Taiyuan University of Technology, College of Physics and Optoelectronics, Taiyuan, China
- Li Liu 0035 — Arizona State University, College of Health Solutions, Biodesign Institute, Tempe, AZ, USA (and 1 more)
- Li Liu 0036 — Shenzhen Research Institute of Big Data, China (and 1 more)
- Li Liu 0037 — Worcester Polytechnic Institute, Department of Biomedical Engineering, Worcester, MA, USA
- Li Liu 0038 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Li Liu 0039 — University of Michigan, Department of Aerospace Engineering, Ann Arbor, MI, USA
- Li Liu 0040 — Shenzhen University, College of Electron and Information Engineering, China
- Li Liu 0041 — Changsha University of Science and Technology, School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha, China
- Li Liu 0042 — University of New South Wales, School of Civil & Environmental Engineering, Sydney, Australia
- Li Liu 0043 — Beijing University of Posts and Telecommunications, School of Science, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Li Liu 0044 — China Centre for Resources Satellite Data and Application, Beijing, China
- Li Liu 0045 — George Mason University, Fairfax, VA, USA
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2020 – today
- 2023
[j77]Jie Zhang, Shengbin Liao, Haofeng Zhang, Yang Long, Zheng Zhang, Li Liu:
Data driven recurrent generative adversarial network for generalized zero shot image classification. Inf. Sci. 625: 536-552 (2023)- [j76]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7001-7018 (2023) - [j75]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023) - [j74]Rui Gao, Xingsong Hou, Jie Qin, Yuming Shen, Yang Long, Li Liu, Zhao Zhang, Ling Shao:
Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning. IEEE Trans. Multim. 25: 1649-1664 (2023) - 2022
- [j73]Jingren Liu, Haoyue Bai, Haofeng Zhang, Li Liu:
Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning. IEEE Multim. 29(3): 69-79 (2022) - [j72]Xiao Shen, Haofeng Zhang, Lunbo Li, Wankou Yang, Li Liu:
Semi-supervised cross-modal hashing with multi-view graph representation. Inf. Sci. 604: 45-60 (2022) - [j71]Jingren Liu, Liyong Fu, Haofeng Zhang, Qiaolin Ye, Wankou Yang, Li Liu:
Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning. Knowl. Based Syst. 236: 107780 (2022) - [j70]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao:
A Generalized Method for Binary Optimization: Convergence Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4524-4543 (2022) - [j69]Yang Liu, Xinbo Gao, Jungong Han, Li Liu, Ling Shao:
Zero-shot learning via a specific rank-controlled semantic autoencoder. Pattern Recognit. 122: 108237 (2022) - [j68]Guo-Sen Xie, Zheng Zhang, Guoshuai Liu, Fan Zhu, Li Liu, Ling Shao, Xuelong Li:
Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2903-2915 (2022) - 2021
- [j67]Xiao Shen, Haofeng Zhang, Lunbo Li, Zheng Zhang, Debao Chen, Li Liu:
Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval. Neurocomputing 459: 152-164 (2021) - [j66]Weiwei Wang, Haofeng Zhang, Zheng Zhang, Li Liu, Ling Shao:
Sparse graph based self-supervised hashing for scalable image retrieval. Inf. Sci. 547: 622-640 (2021) - [j65]Yuan Huang, Xingsong Hou, Yujie Dun, Jie Qin, Li Liu, Xueming Qian, Ling Shao:
Learning Deformable and Attentive Network for image restoration. Knowl. Based Syst. 231: 107384 (2021) - [j64]Haofeng Zhang, Haoyue Bai, Yang Long, Li Liu, Ling Shao:
A plug-in attribute correction module for generalized zero-shot learning. Pattern Recognit. 112: 107767 (2021) - [j63]Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao:
Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval. IEEE Trans. Multim. 23: 3400-3413 (2021) - [j62]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Internal and external memory set containment join. VLDB J. 30(3): 447-470 (2021) - [j61]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Correction to: Internal and external memory set containment join. VLDB J. 30(5): 907 (2021) - [c67]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c66]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521 - [c65]Jingren Liu, Haoyue Bai, Haofeng Zhang, Li Liu:
Near-Real Feature Generative Network for Generalized Zero-Shot Learning. ICME 2021: 1-6 - [c64]Xiao Shen, Haofeng Zhang, Lunbo Li, Li Liu:
Attention-Guided Semantic Hashing for Unsupervised Cross-Modal Retrieval. ICME 2021: 1-6 - [i31]Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CoRR abs/2103.11617 (2021) - [i30]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. CoRR abs/2104.14236 (2021) - [i29]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CoRR abs/2104.14913 (2021) - 2020
- [j60]Weiwei Wang, Yuming Shen, Haofeng Zhang, Li Liu:
Semantic-rebased cross-modal hashing for scalable unsupervised text-visual retrieval. Inf. Process. Manag. 57(6): 102374 (2020) - [j59]Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao:
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105: 107317 (2020) - [j58]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao:
Deep quantization generative networks. Pattern Recognit. 105: 107338 (2020) - [j57]Haofeng Zhang, Li Liu, Yang Long, Zheng Zhang, Ling Shao:
Deep transductive network for generalized zero shot learning. Pattern Recognit. 105: 107370 (2020) - [j56]Xiang Zhou, Fumin Shen, Li Liu, Wei Liu, Liqiang Nie, Yang Yang, Heng Tao Shen:
Graph Convolutional Network Hashing. IEEE Trans. Cybern. 50(4): 1460-1472 (2020) - [j55]Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao:
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Trans. Image Process. 29: 3665-3680 (2020) - [j54]Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. IEEE Trans. Image Process. 29: 5022-5037 (2020) - [j53]Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. 29: 5121-5135 (2020) - [j52]Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao:
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29: 9316-9329 (2020) - [j51]Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, Heng Tao Shen:
Towards Automatic Construction of Diverse, High-Quality Image Datasets. IEEE Trans. Knowl. Data Eng. 32(6): 1199-1211 (2020) - [j50]Yazhou Yao, Fumin Shen, Guo-Sen Xie, Li Liu, Fan Zhu, Jian Zhang, Heng Tao Shen:
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2348-2360 (2020) - [j49]Guo-Sen Xie, Zheng Zhang, Li Liu, Fan Zhu, Xu-Yao Zhang, Ling Shao, Xuelong Li:
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4290-4302 (2020) - [j48]Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao:
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4881-4891 (2020) - [c63]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CVPR 2020: 2815-2824 - [c62]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CVPR 2020: 2896-2905 - [c61]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c60]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447 - [c59]Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao:
Learning Attentive and Hierarchical Representations for 3D Shape Recognition. ECCV (15) 2020: 105-122 - [c58]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) 2020: 384-401 - [c57]Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao:
Region Graph Embedding Network for Zero-Shot Learning. ECCV (4) 2020: 562-580 - [c56]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c55]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. ICML 2020: 10514-10523 - [c54]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. ICPR 2020: 9415-9422 - [c53]Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu:
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing. IJCAI 2020: 853-859 - [c52]Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia 2020: 3034-3043 - [i28]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i27]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CoRR abs/2002.11930 (2020) - [i26]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation into the Stochasticity of Batch Whitening. CoRR abs/2003.12327 (2020) - [i25]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i24]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. CoRR abs/2004.04989 (2020) - [i23]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. CoRR abs/2006.00978 (2020) - [i22]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition. CoRR abs/2006.11538 (2020) - [i21]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020) - [i20]Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR abs/2009.13333 (2020)
2010 – 2019
- 2019
- [j47]Yuming Shen, Li Liu, Ling Shao:
Unsupervised Binary Representation Learning with Deep Variational Networks. Int. J. Comput. Vis. 127(11-12): 1614-1628 (2019) - [j46]Haofeng Zhang, Yang Long, Li Liu, Ling Shao:
Adversarial unseen visual feature synthesis for Zero-shot Learning. Neurocomputing 329: 12-20 (2019) - [j45]Lining Zhang, Hubert P. H. Shum, Li Liu, Guodong Guo, Ling Shao:
Multiview discriminative marginal metric learning for makeup face verification. Neurocomputing 333: 339-350 (2019) - [j44]Yifan Gu, Shidong Wang, Haofeng Zhang, Yazhou Yao, Wankou Yang, Li Liu:
Clustering-driven unsupervised deep hashing for image retrieval. Neurocomputing 368: 114-123 (2019) - [j43]Zheng Zhang, Li Liu, Fumin Shen, Heng Tao Shen, Ling Shao:
Binary Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1774-1782 (2019) - [j42]Yu Liu, Jingkuan Song, Ke Zhou, Lingyu Yan, Li Liu, Fuhao Zou, Ling Shao:
Deep Self-Taught Hashing for Image Retrieval. IEEE Trans. Cybern. 49(6): 2229-2241 (2019) - [j41]Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao:
Extracting Privileged Information for Enhancing Classifier Learning. IEEE Trans. Image Process. 28(1): 436-450 (2019) - [j40]Gengshen Wu, Jungong Han, Yuchen Guo, Li Liu, Guiguang Ding, Qiang Ni, Ling Shao:
Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval. IEEE Trans. Image Process. 28(4): 1993-2007 (2019) - [j39]Fumin Shen, Xiang Zhou, Jun Yu, Yang Yang, Li Liu, Heng Tao Shen:
Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings. IEEE Trans. Image Process. 28(7): 3662-3674 (2019) - [j38]Zheng Zhang, Zhihui Lai, Zi Huang, Wai Keung Wong, Guo-Sen Xie, Li Liu, Ling Shao:
Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding. IEEE Trans. Image Process. 28(10): 4803-4818 (2019) - [j37]Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao:
Extracting Multiple Visual Senses for Web Learning. IEEE Trans. Multim. 21(1): 184-196 (2019) - [c51]Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao:
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. CVPR 2019: 791-800 - [c50]Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao:
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR 2019: 2079-2088 - [c49]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR 2019: 4874-4883 - [c48]Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao:
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. CVPR 2019: 7115-7123 - [c47]Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. CVPR 2019: 9384-9393 - [c46]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV 2019: 3977-3986 - [c45]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen:
Embarrassingly Simple Binary Representation Learning. ICCV Workshops 2019: 2883-2892 - [c44]Dong Deng, Chengcheng Yang, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
LCJoin: Set Containment Join via List Crosscutting. ICDE 2019: 362-373 - [c43]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI 2019: 996-1002 - [c42]Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. IJCAI 2019: 4838-4845 - [c41]Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. MICCAI (1) 2019: 505-513 - [c40]Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen, Li Liu, Fan Zhu, Xing Xu, Ling Shao, Heng Tao Shen:
Generative Reconstructive Hashing for Incomplete Video Analysis. ACM Multimedia 2019: 845-854 - [c39]Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao:
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. NeurIPS 2019: 11257-11268 - [i19]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019) - [i18]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. CoRR abs/1905.10955 (2019) - [i17]Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. CoRR abs/1906.06690 (2019) - [i16]Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR abs/1906.06834 (2019) - [i15]Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao:
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR abs/1906.06878 (2019) - [i14]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR abs/1908.06647 (2019) - [i13]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu:
Embarrassingly Simple Binary Representation Learning. CoRR abs/1908.09573 (2019) - [i12]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent. CoRR abs/1909.07079 (2019) - [i11]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. CoRR abs/1912.04670 (2019) - 2018
- [j36]Yang Long, Li Liu, Fumin Shen, Ling Shao, Xuelong Li:
Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2498-2512 (2018) - [j35]Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen:
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 3034-3044 (2018) - [j34]Jingkuan Song, Lianli Gao, Li Liu, Xiaofeng Zhu, Nicu Sebe:
Quantization-based hashing: a general framework for scalable image and video retrieval. Pattern Recognit. 75: 175-187 (2018) - [j33]Teng Long, Xing Xu, Fumin Shen, Li Liu, Ning Xie, Yang Yang:
Zero-shot learning via discriminative representation extraction. Pattern Recognit. Lett. 109: 27-34 (2018) - [j32]Shoubiao Tan, Feng Zheng, Li Liu, Jungong Han, Ling Shao:
Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification. IEEE Trans. Circuits Syst. Video Technol. 28(2): 356-363 (2018) - [j31]Haofeng Zhang, Li Liu, Yang Long, Ling Shao:
Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval. IEEE Trans. Image Process. 27(4): 1626-1638 (2018) - [j30]Li Liu, Yi Zhou, Ling Shao:
Deep Action Parsing in Videos With Large-Scale Synthesized Data. IEEE Trans. Image Process. 27(6): 2869-2882 (2018) - [j29]Yi Zhou, Li Liu, Ling Shao:
Vehicle Re-Identification by Deep Hidden Multi-View Inference. IEEE Trans. Image Process. 27(7): 3275-3287 (2018) - [j28]Xiaobo Shen, Fumin Shen, Li Liu, Yunhao Yuan, Weiwei Liu, Quan-Sen Sun:
Multiview Discrete Hashing for Scalable Multimedia Search. ACM Trans. Intell. Syst. Technol. 9(5): 53:1-53:21 (2018) - [j27]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
Fast Automatic Vehicle Annotation for Urban Traffic Surveillance. IEEE Trans. Intell. Transp. Syst. 19(6): 1973-1984 (2018) - [j26]Zheng Zhang, Ling Shao, Yong Xu, Li Liu, Jian Yang:
Marginal Representation Learning With Graph Structure Self-Adaptation. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4645-4659 (2018) - [c38]Yang Long, Li Liu, Yuming Shen, Ling Shao:
Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes. AAAI 2018: 7210-7217 - [c37]Jiaojiao Zhao, Li Liu, Cees Snoek, Jungong Han, Ling Shao:
Pixel-level Semantics Guided Image Colorization. BMVC 2018: 156 - [c36]Xuyang Hu, Fan Zhu, Li Liu, Jin Xie, Jun Tang, Nian Wang, Fumin Shen, Ling Shao:
Structure-Aware 3D Shape Synthesis from Single-View Images. BMVC 2018: 230 - [c35]Yuming Shen, Li Liu, Fumin Shen, Ling Shao:
Zero-Shot Sketch-Image Hashing. CVPR 2018: 3598-3607 - [c34]Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) 2018: 106-123 - [c33]Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool:
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval. ECCV (2) 2018: 304-321 - [c32]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen:
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights. ECCV (2) 2018: 322-339 - [c31]Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang:
A Joint Generative Model for Zero-Shot Learning. ECCV Workshops (4) 2018: 631-646 - [c30]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) 2018: 731-748 - [c29]Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen:
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. IJCAI 2018: 2854-2860 - [c28]Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang:
Learning to Synthesize 3D Indoor Scenes from Monocular Images. ACM Multimedia 2018: 501-509 - [c27]Chaojun Han, Fumin Shen, Li Liu, Yang Yang, Heng Tao Shen:
Visual Spatial Attention Network for Relationship Detection. ACM Multimedia 2018: 510-518 - [c26]Qidi Xu, Fumin Shen, Li Liu, Heng Tao Shen:
GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder. SIGIR 2018: 981-984 - [i10]Yuming Shen, Li Liu, Fumin Shen, Ling Shao:
Zero-Shot Sketch-Image Hashing. CoRR abs/1803.02284 (2018) - [i9]Jiaojiao Zhao, Li Liu, Cees G. M. Snoek, Jungong Han, Ling Shao:
Pixel-level Semantics Guided Image Colorization. CoRR abs/1808.01597 (2018) - [i8]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR abs/1809.05992 (2018) - 2017
- [j25]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast action retrieval from videos via feature disaggregation. Comput. Vis. Image Underst. 156: 104-116 (2017) - [j24]Li Liu, Mengyang Yu, Ling Shao:
Latent Structure Preserving Hashing. Int. J. Comput. Vis. 122(3): 439-457 (2017) - [j23]Ling Shao, Ziyun Cai, Li Liu, Ke Lu:
Performance evaluation of deep feature learning for RGB-D image/video classification. Inf. Sci. 385: 266-283 (2017) - [j22]Ziyun Cai, Jungong Han, Li Liu, Ling Shao:
RGB-D datasets using microsoft kinect or similar sensors: a survey. Multim. Tools Appl. 76(3): 4313-4355 (2017) - [j21]Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval. IEEE Trans. Image Process. 26(1): 107-118 (2017) - [j20]Li Liu, Mengyang Yu, Ling Shao:
Learning Short Binary Codes for Large-scale Image Retrieval. IEEE Trans. Image Process. 26(3): 1289-1299 (2017) - [j19]Yuchen Guo, Guiguang Ding, Li Liu, Jungong Han, Ling Shao:
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval. IEEE Trans. Image Process. 26(3): 1344-1354 (2017) - [j18]Fumin Shen, Yang Yang, Li Liu, Wei Liu, Dacheng Tao, Heng Tao Shen:
Asymmetric Binary Coding for Image Search. IEEE Trans. Multim. 19(9): 2022-2032 (2017) - [j17]Mengyang Yu, Li Liu, Ling Shao:
Binary Set Embedding for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2899-2910 (2017) - [c25]Yuming Shen, Li Liu, Ling Shao:
Unsupervised Deep Generative Hashing. BMVC 2017 - [c24]Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. CVPR 2017: 1042-1051 - [c23]Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. CVPR 2017: 2298-2307 - [c22]Li Liu, Ling Shao, Fumin Shen, Mengyang Yu:
Discretely Coding Semantic Rank Orders for Supervised Image Hashing. CVPR 2017: 5140-5149 - [c21]Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao:
Fast Person Re-identification via Cross-Camera Semantic Binary Transformation. CVPR 2017: 5330-5339 - [c20]Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. CVPR 2017: 6165-6174 - [c19]Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang:
Binary Coding for Partial Action Analysis with Limited Observation Ratios. CVPR 2017: 6728-6737 - [c18]Yuming Shen, Li Liu, Ling Shao, Jingkuan Song:
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval. ICCV 2017: 4117-4126 - [c17]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, what and how actions occur in videos? ICRA 2017: 138-145 - [c16]Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao:
Unsupervised Deep Video Hashing with Balanced Rotation. IJCAI 2017: 3076-3082 - [c15]Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu:
Temporal Binary Coding for Large-Scale Video Search. ACM Multimedia 2017: 333-341 - [c14]Fumin Shen, Xin Gao, Li Liu, Yang Yang, Heng Tao Shen:
Deep Asymmetric Pairwise Hashing. ACM Multimedia 2017: 1522-1530 - [c13]Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen:
Classification by Retrieval: Binarizing Data and Classifiers. SIGIR 2017: 595-604 - [c12]Yang Long, Li Liu, Ling Shao:
Towards Fine-Grained Open Zero-Shot Learning: Inferring Unseen Visual Features from Attributes. WACV 2017: 944-952 - [i7]Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval. CoRR abs/1703.05605 (2017) - [i6]Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. CoRR abs/1705.01782 (2017) - [i5]Yuming Shen, Li Liu, Ling Shao, Jingkuan Song:
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval. CoRR abs/1708.02531 (2017) - 2016
- [j16]Ling Shao, Li Liu, Mengyang Yu:
Kernelized Multiview Projection for Robust Action Recognition. Int. J. Comput. Vis. 118(2): 115-129 (2016) - [j15]Mengyang Yu, Li Liu, Ling Shao:
Structure-Preserving Binary Representations for RGB-D Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1651-1664 (2016) - [j14]Jie Qin, Yunhong Wang, Li Liu, Jiaxin Chen, Ling Shao:
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition. IEEE Signal Process. Lett. 23(11): 1667-1671 (2016) - [j13]Li Liu, Ling Shao, Xuelong Li, Ke Lu:
Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach. IEEE Trans. Cybern. 46(1): 158-170 (2016) - [j12]Li Liu, Mengyang Yu, Ling Shao:
Unsupervised Local Feature Hashing for Image Similarity Search. IEEE Trans. Cybern. 46(11): 2548-2558 (2016) - [j11]Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao:
Compressive Sequential Learning for Action Similarity Labeling. IEEE Trans. Image Process. 25(2): 756-769 (2016) - [j10]Li Liu, Ling Shao:
Sequential Compact Code Learning for Unsupervised Image Hashing. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2526-2536 (2016) - [c11]Yang Long, Li Liu, Ling Shao:
Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning. BMVC 2016 - [c10]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. ECCV (2) 2016: 278-293 - [i4]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, What and How Actions Occur in Videos? CoRR abs/1602.03346 (2016) - [i3]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. CoRR abs/1607.04564 (2016) - 2015
- [j9]Shoubiao Tan, Li Liu, Chunyu Peng, Ling Shao:
Image-to-class distance ratio: A feature filtering metric for image classification. Neurocomputing 165: 211-221 (2015) - [j8]Li Liu, Ling Shao, Xuelong Li:
Evolutionary compact embedding for large-scale image classification. Inf. Sci. 316: 567-581 (2015) - [j7]Li Liu, Mengyang Yu, Ling Shao:
Multiview Alignment Hashing for Efficient Image Search. IEEE Trans. Image Process. 24(3): 956-966 (2015) - [c9]Ziyun Cai, Li Liu, Mengyang Yu, Ling Shao:
Latent Structure Preserving Hashing. BMVC 2015: 172.1-172.11 - [c8]Li Liu, Mengyang Yu, Ling Shao:
Local Feature Binary Coding for Approximate Nearest Neighbor Search. BMVC 2015: 173.1-173.12 - [c7]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast Action Retrieval from Videos via Feature Disaggregation. BMVC 2015: 180.1-180.11 - [c6]Li Liu, Mengyang Yu, Ling Shao:
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes. ICCV 2015: 2821-2829 - [i2]Mengyang Yu, Li Liu, Ling Shao:
Kernelized Multiview Projection. CoRR abs/1508.00430 (2015) - [i1]Li Liu, Mengyang Yu, Ling Shao:
Projection Bank: From High-dimensional Data to Medium-length Binary Codes. CoRR abs/1509.04916 (2015) - 2014
- [j6]Li Liu, Ling Shao, Feng Zheng, Xuelong Li:
Realistic action recognition via sparsely-constructed Gaussian processes. Pattern Recognit. 47(12): 3819-3827 (2014) - [j5]Ruomei Yan, Ling Shao, Li Liu, Yan Liu:
Natural image denoising using evolved local adaptive filters. Signal Process. 103: 36-44 (2014) - [j4]Ling Shao, Li Liu, Xuelong Li:
Feature Learning for Image Classification Via Multiobjective Genetic Programming. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1359-1371 (2014) - [c5]Li Liu, Ling Shao:
Discriminative Partition Sparsity Analysis. ICPR 2014: 1597-1602 - 2013
- [j3]Li Liu, Ling Shao, Peter I. Rockett:
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition. Pattern Recognit. 46(7): 1810-1818 (2013) - [j2]Li Liu, Ling Shao, Peter I. Rockett:
Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification. Signal Process. 93(6): 1521-1530 (2013) - [j1]Li Liu, Ling Shao, Xiantong Zhen, Xuelong Li:
Learning Discriminative Key Poses for Action Recognition. IEEE Trans. Cybern. 43(6): 1860-1870 (2013) - [c4]Li Liu, Ling Shao:
Synthesis of spatio-temporal descriptors for dynamic hand gesture recognition using genetic programming. FG 2013: 1-7 - [c3]Li Liu, Ling Shao:
Learning Discriminative Representations from RGB-D Video Data. IJCAI 2013: 1493-1500 - [c2]Li Liu, Ling Shao, Xuelong Li:
Building holistic descriptors for scene recognition: a multi-objective genetic programming approach. ACM Multimedia 2013: 997-1006 - 2012
- [c1]Li Liu, Ling Shao, Peter I. Rockett:
Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition. BMVC 2012: 1-12
Coauthor Index
[j76] [j75] [j74] [j70] [j69] [j68] [j66] [j65] [j64] [j63] [j62] [j61] [c67] [c66] [i31] [i30] [i29] [j59] [j58] [j57] [j55] [j54] [j53] [j52] [j49] [j48] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [j47] [j46] [j45] [j43] [j42] [j41] [j40] [j38] [j37] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [i19] [i18] [i17] [i16] [i15] [i14] [i12] [i11] [j36] [j32] [j31] [j30] [j29] [j27] [j26] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [c28] [i10] [i9] [i8] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j17] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c12] [i7] [i6] [i5] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c11] [c10] [i4] [i3] [j9] [j8] [j7] [c9] [c8] [c7] [c6] [i2] [i1] [j6] [j5] [j4] [c5] [j3] [j2] [j1] [c4] [c3] [c2] [c1]
[j76] [j75] [j70] [j68] [j62] [j61] [c67] [c66] [i31] [i30] [i29] [j59] [j58] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c36] [c33] [c32] [c31] [c30] [c28] [i8]
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