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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
- 2020
[j244]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)- [j243]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) - [j242]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) - [j241]Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. Int. J. Comput. Vis. 128(4): 818-834 (2020) - [j240]Zhong Ji, Hai Wang, Yanwei Pang, Ling Shao:
Dual triplet network for image zero-shot learning. Neurocomputing 373: 90-97 (2020) - [j239]Ke Lu, Fei Wang, Ling Shao, Weisheng Li:
Editorial: Deep learning for medical image analysis. Neurocomputing 392: 121-123 (2020) - [j238]Zhong Ji, Fang Jiao, Yanwei Pang, Ling Shao:
Deep attentive and semantic preserving video summarization. Neurocomputing 405: 200-207 (2020) - [j237]Yuan Zhou, Bingzhang Hu, Jun He, Yu Guan, Ling Shao:
Dual reference age synthesis. Neurocomputing 411: 164-177 (2020) - [j236]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) - [j235]Xiao Sun, Pingping Xia, Luming Zhang, Ling Shao:
A ROI-guided deep architecture for robust facial expressions recognition. Inf. Sci. 522: 35-48 (2020) - [j234]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) - [j233]Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao:
Label-activating framework for zero-shot learning. Neural Networks 121: 1-9 (2020) - [j232]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) - [j231]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) - [j230]Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao:
Heterogenous output regression network for direct face alignment. Pattern Recognit. 105: 107311 (2020) - [j229]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) - [j228]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) - [j227]Haofeng Zhang, Li Liu, Yang Long, Zheng Zhang, Ling Shao:
Deep transductive network for generalized zero shot learning. Pattern Recognit. 105: 107370 (2020) - [j226]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) - [j225]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) - [j224]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) - [j223]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) - [j222]Jianbing Shen, Xin Tang, Xingping Dong, Ling Shao:
Visual Object Tracking by Hierarchical Attention Siamese Network. IEEE Trans. Cybern. 50(7): 3068-3080 (2020) - [j221]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) - [j220]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) - [j219]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) - [j218]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) - [j217]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) - [j216]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) - [j215]Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Trans. Image Process. 29: 5396-5407 (2020) - [j214]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) - [j213]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j212]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) - [j211]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging 39(8): 2626-2637 (2020) - [j210]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. IEEE Trans. Medical Imaging 39(9): 2772-2781 (2020) - [j209]Luming Zhang, Jianwei Yin, Ping Li, Yongheng Shang, Roger Zimmermann, Ling Shao:
Flickr Image Community Analytics by Deep Noise-Refined Matrix Factorization. IEEE Trans. Multim. 22(5): 1273-1284 (2020) - [j208]Federico Angelini, Zeyu Fu, Yang Long, Ling Shao, Syed Mohsen Naqvi:
2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling. IEEE Trans. Multim. 22(6): 1433-1446 (2020) - [j207]Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang, Ling Shao:
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(3): 786-800 (2020) - [j206]Haofeng Zhang, Huaqi Mao, Yang Long, Wankou Yang, Ling Shao:
A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2361-2375 (2020) - [j205]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) - [j204]Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao:
Top-k term publish/subscribe for geo-textual data streams. VLDB J. 29(5): 1101-1128 (2020) - [c210]Guolei Sun, Hisham Cholakkal, Salman Khan, Fahad H. Khan, Ling Shao:
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. AAAI 2020: 12047-12054 - [c209]Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang:
Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution. AAAI 2020: 12821-12828 - [c208]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. AAAI 2020: 13066-13073 - [c207]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. CVPR 2020: 1526-1535 - [c206]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CVPR 2020: 2693-2702 - [c205]Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. CVPR 2020: 2774-2784 - [c204]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 - [c203]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 - [c202]Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, Ling Shao:
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution. CVPR 2020: 3070-3079 - [c201]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c200]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447 - [c199]Muhammad Haris Khan, John McDonagh, Salman Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CVPR 2020: 6937-6946 - [c198]Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing With Typed Part-Relation Reasoning. CVPR 2020: 8926-8936 - [c197]Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR 2020: 9608-9617 - [c196]Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. CVPR 2020: 10274-10283 - [c195]Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
D2Det: Towards High Quality Object Detection and Instance Segmentation. CVPR 2020: 11482-11491 - [c194]Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao:
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. CVPR 2020: 13346-13355 - [c193]Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao:
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network. ECCV (12) 2020: 275-292 - [c192]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c191]Chengcheng Yang, Dong Deng, Shuo Shang, Ling Shao:
Efficient Locality-Sensitive Hashing Over High-Dimensional Data Streams. ICDE 2020: 1986-1989 - [c190]Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao:
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks. IJCAI 2020: 645-651 - [c189]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2020: 221-231 - [c188]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. MICCAI (6) 2020: 263-273 - [c187]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) 2020: 309-319 - [c186]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao:
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020: 1245-1254 - [c185]Jinpeng Li, Shengcai Liao, Hangzhi Jiang, Ling Shao:
Box Guided Convolution for Pedestrian Detection. ACM Multimedia 2020: 1615-1624 - [c184]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 - [c183]Yanan Wang, Shengcai Liao, Ling Shao:
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification. ACM Multimedia 2020: 3422-3430 - [c182]Liang Wang, Changshuang Zhao, Ling Shao, Yihong Wu:
UDenseNet: A Universal Dense Convolutional Network for Image Recognition. PRCV (3) 2020: 209-221 - [c181]Jing Li, Shuo Shang, Ling Shao:
MetaNER: Named Entity Recognition with Meta-Learning. WWW 2020: 429-440 - [i109]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-identification: A Survey and Outlook. CoRR abs/2001.04193 (2020) - [i108]Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao:
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. CoRR abs/2001.06690 (2020) - [i107]Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao:
Learning Compositional Neural Information Fusion for Human Parsing. CoRR abs/2001.06804 (2020) - [i106]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR abs/2001.06807 (2020) - [i105]Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. CoRR abs/2001.06810 (2020) - [i104]Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao:
Human-Aware Motion Deblurring. CoRR abs/2001.06816 (2020) - [i103]Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection. CoRR abs/2001.09252 (2020) - [i102]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. CoRR abs/2002.05000 (2020) - [i101]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning using High-Rank Feature Map. CoRR abs/2002.10179 (2020) - [i100]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i99]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) - [i98]Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao:
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR abs/2002.12168 (2020) - [i97]Haibo Jin, Shengcai Liao, Ling Shao:
Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. CoRR abs/2003.03771 (2020) - [i96]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. CoRR abs/2003.04253 (2020) - [i95]Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing with Typed Part-Relation Reasoning. CoRR abs/2003.04845 (2020) - [i94]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. CoRR abs/2003.06792 (2020) - [i93]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CoRR abs/2003.07761 (2020) - [i92]Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. CoRR abs/2003.07833 (2020) - [i91]K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020) - [i90]Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Pedestrian Detection: The Elephant In The Room. CoRR abs/2003.08799 (2020) - [i89]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) - [i88]Jie Hu, Rongrong Ji, Qixiang Ye, Tong Tong, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao:
Architecture Disentanglement for Deep Neural Networks. CoRR abs/2003.13268 (2020) - [i87]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR abs/2003.14119 (2020) - [i86]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i85]Ahmed H. Shahin, Prateek Munjal, Ling Shao, Shadab Khan:
FAIRS - Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points. CoRR abs/2004.02038 (2020) - [i84]Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. CoRR abs/2004.04962 (2020) - [i83]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. CoRR abs/2004.04989 (2020) - [i82]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i81]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR abs/2004.14133 (2020) - [i80]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis. CoRR abs/2005.05594 (2020) - [i79]Wenhao Wang, Fang Zhao, Shengcai Liao, Ling Shao:
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification. CoRR abs/2006.06525 (2020) - [i78]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i77]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. CoRR abs/2006.10135 (2020) - [i76]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. CoRR abs/2006.11392 (2020) - [i75]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition. CoRR abs/2006.11538 (2020) - [i74]Yanan Wang, Shengcai Liao, Ling Shao:
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification. CoRR abs/2006.12774 (2020) - [i73]Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao:
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network. CoRR abs/2007.02713 (2020) - [i72]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i71]Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo:
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification. CoRR abs/2007.09314 (2020) - [i70]Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. CoRR abs/2007.14772 (2020) - [i69]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. CoRR abs/2008.00230 (2020) - [i68]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR abs/2008.02101 (2020) - [i67]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR abs/2008.09772 (2020) - [i66]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. CoRR abs/2009.10942 (2020) - [i65]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) - [i64]Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR abs/2009.13333 (2020) - [i63]Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. CoRR abs/2010.00456 (2020) - [i62]