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Li 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
— 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
— Rutgers University, Department of Electrical and Computer Engineering, New Brunswick, NJ, USA
- 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
- 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]