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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 — 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
- 2024
- [j80]Li Liu, Dele Tai, Bin Qiang, Lijun Guan, Chunyu Peng, Chenghu Dai, Licai Hao, Wenjuan Lu, Zhiting Lin, Qiang Zhao, Xiulong Wu:
Flip Point Offset-Compensation Sense Amplifier With Sensing-Margin-Enhancement for Dynamic Random-Access Memory. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 1759-1763 (2024) - [i34]Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang:
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection. CoRR abs/2403.06534 (2024) - [i33]Yuxuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang:
LSKNet: A Foundation Lightweight Backbone for Remote Sensing. CoRR abs/2403.11735 (2024) - 2023
- [j79]Licai Hao, Bin Qiang, Chenghu Dai, Chunyu Peng, Wenjuan Lu, Zhiting Lin, Li Liu, Qiang Zhao, Xiulong Wu, Fei Sun:
Radiation-hardened 14T SRAM cell by polar design for space applications. IEICE Electron. Express 20(13): 20230083 (2023) - [j78]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) - [j77]Licai Hao, Li Liu, Qi Shi, Bin Qiang, Zhengya Li, Nianlong Liu, Chenghu Dai, Qiang Zhao, Chunyu Peng, Wenjuan Lu, Zhiting Lin, Xiulong Wu:
Design of radiation-hardened memory cell by polar design for space applications. Microelectron. J. 132: 105691 (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) - [c68]Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu:
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. ECCV (19) 2022: 74-91 - 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 - [i32]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) - [i31]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) - [i30]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 - [i29]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i28]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) - [i27]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) - [i26]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i25]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. CoRR abs/2004.04989 (2020) - [i24]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) - [i23]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition. CoRR abs/2006.11538 (2020) - [i22]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) - [i21]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 - [i20]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR abs/1908.06647 (2019) - [i14]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu:
Embarrassingly Simple Binary Representation Learning. CoRR abs/1908.09573 (2019) - [i13]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) - [i12]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:
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