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ORCIDLing Shao 0001
Person information
- affiliation: Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
- affiliation (former): University of East Anglia, Norwich, UK
- affiliation (2014 - 2016): Northumbria University, Newcastle upon Tyne, UK
- affiliation (former): JD Artificial Intelligence Research (JDAIR), Beijing, China
- affiliation (2009 - 2014): University of Sheffield, Department of Electronic and Electrical Engineering, UK
- affiliation (2005 - 2009): Philips Research Laboratories, Eindhoven, The Netherlands
- affiliation (former): Nanjing University of Information Science and Technology, College of Electronic and Information Engineering, China
- affiliation (PhD 2007): University of Oxford, UK
- affiliation (former): University of Science and Technology of China, Anhui, China
Other persons with the same name
- Ling Shao 0002 — IBM China Research Laboratory, Beijing, China
- Ling Shao 0003 — Peking University, College of Engineering, State Key Laboratory of Turbulence and Complex Systems, Beijing, China
- Ling Shao 0004 — Lanzhou University of Technology, State Key Laboratory of Gansu Adv. Non-ferrous Metal Materials, China
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2020 – today
- 2021
[j276]Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. IEEE Access 9: 98249-98260 (2021)- [j275]Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection. Sci. China Inf. Sci. 64(2) (2021) - [j274]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D salient object detection: A survey. Comput. Vis. Media 7(1): 37-69 (2021) - [j273]Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, Qi Tian:
Real-time semantic segmentation via sequential knowledge distillation. Neurocomputing 439: 134-145 (2021) - [j272]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452: 37-47 (2021) - [j271]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) - [j270]Nuhman ul Haq, Ahmad Khan, Zia ur Rehman
, Ahmad Din, Ling Shao, Sajid Shah:
A novel weight initialization with adaptive hyper-parameters for deep semantic segmentation. Multim. Tools Appl. 80(14): 21771-21787 (2021) - [j269]Haofeng Zhang, Yinduo Wang, Yang Long, Longzhi Yang, Ling Shao:
Modality independent adversarial network for generalized zero shot image classification. Neural Networks 134: 11-22 (2021) - [j268]Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, Fatih Porikli:
Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1515-1529 (2021) - [j267]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. Pattern Recognit. 111: 107677 (2021) - [j266]Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, Ling Shao:
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection. Pattern Recognit. 112: 107740 (2021) - [j265]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) - [j264]Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao:
Relation-based Discriminative Cooperation Network for Zero-Shot Classification. Pattern Recognit. 118: 108024 (2021) - [j263]Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang:
Scaled Simplex Representation for Subspace Clustering. IEEE Trans. Cybern. 51(3): 1493-1505 (2021) - [j262]Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Trans. Geosci. Remote. Sens. 59(8): 6549-6561 (2021) - [j261]Mang Ye, Jianbing Shen, Ling Shao:
Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning. IEEE Trans. Inf. Forensics Secur. 16: 728-739 (2021) - [j260]Yazhao Li, Yanwei Pang, Jiale Cao, Jianbing Shen, Ling Shao:
Improving Single Shot Object Detection With Feature Scale Unmixing. IEEE Trans. Image Process. 30: 2708-2721 (2021) - [j259]Jin Xie, Yanwei Pang, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection. IEEE Trans. Image Process. 30: 3872-3884 (2021) - [j258]Hongsong Wang, Shengcai Liao, Ling Shao:
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection. IEEE Trans. Image Process. 30: 4046-4056 (2021) - [j257]Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, Ling Shao:
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning. IEEE Trans. Image Process. 30: 4316-4329 (2021) - [j256]Biao Qian, Yang Wang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. IEEE Trans. Image Process. 30: 4894-4904 (2021) - [j255]Nian Liu, Wangbo Zhao, Ling Shao, Junwei Han:
SCG: Saliency and Contour Guided Salient Instance Segmentation. IEEE Trans. Image Process. 30: 5862-5874 (2021) - [j254]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40(3): 818-828 (2021) - [j253]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Modeling and Enhancing Low-Quality Retinal Fundus Images. IEEE Trans. Medical Imaging 40(3): 996-1006 (2021) - [j252]Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging 40(4): 1196-1206 (2021) - [j251]Pengcheng Gao, Ke Lu, Jian Xue, Ling Shao, Jiayi Lyu:
A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism. IEEE Trans. Multim. 23: 926-938 (2021) - [j250]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) - [c239]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c238]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI 2021: 768-776 - [c237]Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. AAAI 2021: 2638-2646 - [c236]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR 2021 - [c235]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek:
Kernel Continual Learning. ICML 2021: 2621-2631 - [c234]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. ICML 2021: 11351-11361 - [c233]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI 2021: 334-345 - [c232]Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao:
Variational Prototype Inference for Few-Shot Semantic Segmentation. WACV 2021: 525-534 - [i169]Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang:
Low Light Image Enhancement via Global and Local Context Modeling. CoRR abs/2101.00850 (2021) - [i168]Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jägersand, Ling Shao:
Boundary-Aware Segmentation Network for Mobile and Web Applications. CoRR abs/2101.04704 (2021) - [i167]Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. CoRR abs/2101.07663 (2021) - [i166]Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021) - [i165]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CoRR abs/2102.02808 (2021) - [i164]Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao:
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks. CoRR abs/2102.07951 (2021) - [i163]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. CoRR abs/2102.07981 (2021) - [i162]Fangneng Zhan, Yingchen Yu, Rongliang Wu, Changgong Zhang, Shijian Lu, Ling Shao, Feiying Ma, Xuansong Xie:
GMLight: Lighting Estimation via Geometric Distribution Approximation. CoRR abs/2102.10244 (2021) - [i161]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. CoRR abs/2102.10274 (2021) - [i160]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. CoRR abs/2102.12122 (2021) - [i159]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR abs/2102.13269 (2021) - [i158]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR abs/2103.10825 (2021) - [i157]Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao:
Brain Image Synthesis with Unsupervised Multivariate Canonical CSC𝓁4Net. CoRR abs/2103.11587 (2021) - [i156]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) - [i155]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021) - [i154]Yunhua Zhang, Ling Shao, Cees G. M. Snoek:
Repetitive Activity Counting by Sight and Sound. CoRR abs/2103.13096 (2021) - [i153]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CoRR abs/2103.13164 (2021) - [i152]Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR abs/2103.14473 (2021) - [i151]Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao:
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain. CoRR abs/2103.16110 (2021) - [i150]Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. CoRR abs/2104.01108 (2021) - [i149]Shengcai Liao, Ling Shao:
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. CoRR abs/2104.01546 (2021) - [i148]Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao:
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. CoRR abs/2104.04782 (2021) - [i147]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR abs/2104.05345 (2021) - [i146]Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Cloth Interactive Transformer for Virtual Try-On. CoRR abs/2104.05519 (2021) - [i145]Nian Liu, Ni Zhang, Kaiyuan Wan, Junwei Han, Ling Shao:
Visual Saliency Transformer. CoRR abs/2104.12099 (2021) - [i144]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) - [i143]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) - [i142]Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
ISTR: End-to-End Instance Segmentation with Transformers. CoRR abs/2105.00637 (2021) - [i141]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. CoRR abs/2105.03053 (2021) - [i140]Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR abs/2105.03781 (2021) - [i139]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR abs/2105.04030 (2021) - [i138]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR abs/2105.05980 (2021) - [i137]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR abs/2105.06668 (2021) - [i136]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. CoRR abs/2105.08468 (2021) - [i135]Haibo Jin, Jinpeng Li, Shengcai Liao, Ling Shao:
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model. CoRR abs/2105.13150 (2021) - [i134]Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci:
Transformer-Based Source-Free Domain Adaptation. CoRR abs/2105.14138 (2021) - [i133]Shengcai Liao, Ling Shao:
Transformer-Based Deep Image Matching for Generalizable Person Re-identification. CoRR abs/2105.14432 (2021) - [i132]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. CoRR abs/2106.01908 (2021) - [i131]Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao:
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CoRR abs/2106.02885 (2021) - [i130]Hongsong Wang, Shengcai Liao, Ling Shao:
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection. CoRR abs/2106.05499 (2021) - [i129]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao:
Exploring Visual Context for Weakly Supervised Person Search. CoRR abs/2106.10506 (2021) - [i128]Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao:
Sparse Needlets for Lighting Estimation with Spherical Transport Loss. CoRR abs/2106.13090 (2021) - [i127]Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao:
Federated Noisy Client Learning. CoRR abs/2106.13239 (2021) - [i126]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
PVTv2: Improved Baselines with Pyramid Vision Transformer. CoRR abs/2106.13797 (2021) - [i125]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i124]Peng Tu, Yawen Huang, Rongrong Ji, Feng Zheng, Ling Shao:
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference. CoRR abs/2106.15064 (2021) - [i123]Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao:
Bi-level Feature Alignment for Versatile Image Translation and Manipulation. CoRR abs/2107.03021 (2021) - [i122]Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao:
Instance-Level Relative Saliency Ranking with Graph Reasoning. CoRR abs/2107.03824 (2021) - [i121]Jinpeng Li, Yichao Yan, Shengcai Liao, Xiaokang Yang, Ling Shao:
Local-to-Global Self-Attention in Vision Transformers. CoRR abs/2107.04735 (2021) - [i120]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. CoRR abs/2107.05622 (2021) - [i119]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Kernel Continual Learning. CoRR abs/2107.05757 (2021) - [i118]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. CoRR abs/2107.07314 (2021) - 2020
- [j249]Liyuan Liu, Yanwei Pang, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context. IEEE Access 8: 34019-34028 (2020) - [j248]Shuai Ma, Yanwei Pang, Jing Pan, Ling Shao:
Preserving details in semantics-aware context for scene parsing. Sci. China Inf. Sci. 63(2): 120106 (2020) - [j247]Xiyu Yan, Huihui Gong, Yong Jiang, Shu-Tao Xia, Feng Zheng, Xinge You, Ling Shao:
Video scene parsing: An overview of deep learning methods and datasets. Comput. Vis. Image Underst. 201: 103077 (2020) - [j246]Ling Shao, Hubert P. H. Shum, Timothy M. Hospedales:
Editorial: Special Issue on Machine Vision with Deep Learning. Int. J. Comput. Vis. 128(4): 771-772 (2020) - [j245]Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. Int. J. Comput. Vis. 128(4): 818-834 (2020) - [j244]Zhong Ji, Hai Wang, Yanwei Pang, Ling Shao:
Dual triplet network for image zero-shot learning. Neurocomputing 373: 90-97 (2020) - [j243]Ke Lu, Fei Wang, Ling Shao, Weisheng Li:
Editorial: Deep learning for medical image analysis. Neurocomputing 392: 121-123 (2020) - [j242]Zhong Ji, Fang Jiao, Yanwei Pang, Ling Shao:
Deep attentive and semantic preserving video summarization. Neurocomputing 405: 200-207 (2020) - [j241]Yuan Zhou, Bingzhang Hu, Jun He, Yu Guan, Ling Shao:
Dual reference age synthesis. Neurocomputing 411: 164-177 (2020) - [j240]Aiping Yang, Bingwang Yang, Zhong Ji, Yanwei Pang, Ling Shao:
Lightweight group convolutional network for single image super-resolution. Inf. Sci. 516: 220-233 (2020) - [j239]Xiao Sun, Pingping Xia, Luming Zhang, Ling Shao:
A ROI-guided deep architecture for robust facial expressions recognition. Inf. Sci. 522: 35-48 (2020) - [j238]Yinduo Wang, Haofeng Zhang, Zheng Zhang, Yang Long, Ling Shao:
Learning discriminative domain-invariant prototypes for generalized zero shot learning. Knowl. Based Syst. 196: 105796 (2020) - [j237]Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao:
Label-activating framework for zero-shot learning. Neural Networks 121: 1-9 (2020) - [j236]Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao:
Multi-view projected clustering with graph learning. Neural Networks 126: 335-346 (2020) - [j235]Cairong Zhao, Xuekuan Wang, Wangmeng Zuo, Fumin Shen, Ling Shao, Duoqian Miao:
Similarity learning with joint transfer constraints for person re-identification. Pattern Recognit. 97 (2020) - [j234]Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao:
Heterogenous output regression network for direct face alignment. Pattern Recognit. 105: 107311 (2020) - [j233]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) - [j232]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) - [j231]Haofeng Zhang, Li Liu, Yang Long, Zheng Zhang, Ling Shao:
Deep transductive network for generalized zero shot learning. Pattern Recognit. 105: 107370 (2020) - [j230]Hui Wang, Jianbing Shen, Junbo Yin, Xingping Dong, Hanqiu Sun, Ling Shao:
Adaptive Nonlocal Random Walks for Image Superpixel Segmentation. IEEE Trans. Circuits Syst. Video Technol. 30(3): 822-834 (2020) - [j229]Zan Chen, Xingsong Hou, Ling Shao, Chen Gong, Xueming Qian, Yuan Huang, Shidong Wang:
Compressive Sensing Multi-Layer Residual Coefficients for Image Coding. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1109-1120 (2020) - [j228]Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3226-3237 (2020) - [j227]Fang Guo, Wenguan Wang, Ziyi Shen, Jianbing Shen, Ling Shao, Dacheng Tao:
Motion-Aware Rapid Video Saliency Detection. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4887-4898 (2020) - [j226]Xianyong Fang, Qiang Zhou, Jianbing Shen, Christian Jacquemin, Ling Shao:
Text Image Deblurring Using Kernel Sparsity Prior. IEEE Trans. Cybern. 50(3): 997-1008 (2020) - [j225]Jianbing Shen, Xin Tang, Xingping Dong, Ling Shao:
Visual Object Tracking by Hierarchical Attention Siamese Network. IEEE Trans. Cybern. 50(7): 3068-3080 (2020) - [j224]Bo Peng, Jianjun Lei, Huazhu Fu, Ling Shao, Qingming Huang:
A Recursive Constrained Framework for Unsupervised Video Action Clustering. IEEE Trans. Ind. Informatics 16(1): 555-565 (2020) - [j223]Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao:
Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification. IEEE Trans. Image Process. 29: 1233-1245 (2020) - [j222]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. IEEE Trans. Image Process. 29: 1711-1724 (2020) - [j221]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) - [j220]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) - [j219]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) - [j218]Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Trans. Image Process. 29: 5396-5407 (2020) - [j217]Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, Nanning Zheng:
A Joint Label Space for Generalized Zero-Shot Classification. IEEE Trans. Image Process. 29: 5817-5831 (2020) - [j216]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j215]Yawen Huang, Feng Zheng, Runmin Cong, Weilin Huang, Matthew R. Scott, Ling Shao:
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis. IEEE Trans. Image Process. 29: 8187-8198 (2020) - [j214]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) - [j213]