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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
- Ling Shao 0005 — University of Chinese Academy of Sciences, UCAS-Terminus AI Lab, Beijing, China
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2020 – today
- 2024
[j378]Chenyi Jiang, Yuming Shen, Dubing Chen, Haofeng Zhang
, Ling Shao, Philip H. S. Torr:
Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning. Int. J. Comput. Vis. 132(8): 2962-2988 (2024)- [j377]Xun Zhang, Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Adaptive Relation-Aware Network for zero-shot classification. Neural Networks 174: 106227 (2024) - [j376]Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 1-16 (2024) - [j375]Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024) - [j374]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4298-4313 (2024) - [j373]Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao:
Latent Semantic Consensus for Deterministic Geometric Model Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6139-6153 (2024) - [j372]Ziyun Cai, Yawen Huang, Tengfei Zhang, Xiao-Yuan Jing, Yefeng Zheng, Ling Shao:
Attention Cycle-consistent universal network for More Universal Domain Adaptation. Pattern Recognit. 147: 110109 (2024) - [j371]Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Zero-shot sketch-based image retrieval via adaptive relation-aware metric learning. Pattern Recognit. 152: 110452 (2024) - [j370]Yang Liu, Keda Tao, Tianhui Tian, Xinbo Gao, Jungong Han, Ling Shao:
Transductive zero-shot learning with generative model-driven structure alignment. Pattern Recognit. 153: 110561 (2024) - [j369]Jinyu Yang, Mingqi Gao, Feng Zheng, Xiantong Zhen, Rongrong Ji, Ling Shao, Ales Leonardis:
Weakly-Supervised RGBD Video Object Segmentation. IEEE Trans. Image Process. 33: 2158-2170 (2024) - [j368]Ziming Cheng, Shidong Wang, Tong Xin, Tao Zhou, Haofeng Zhang, Ling Shao:
Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Trans. Medical Imaging 43(6): 2202-2214 (2024) - [j367]Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Zero-Shot Learning With Attentive Region Embedding and Enhanced Semantics. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4220-4231 (2024) - [j366]Shiming Chen, Ziming Hong, Guo-Sen Xie, Qinmu Peng, Xinge You, Weiping Ding, Ling Shao:
GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4516-4529 (2024) - [j365]Xi Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao:
Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5103-5116 (2024) - [j364]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [j363]Zhong Ji, Ping An, Xiyao Liu, Changxin Gao, Yanwei Pang, Ling Shao:
Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12564-12575 (2024) - [i227]Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu:
Domain Adaptation for Large-Vocabulary Object Detectors. CoRR abs/2401.06969 (2024) - [i226]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR abs/2401.07721 (2024) - [i225]Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu:
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception. CoRR abs/2401.08687 (2024) - [i224]Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao:
Latent Semantic Consensus For Deterministic Geometric Model Fitting. CoRR abs/2403.06444 (2024) - [i223]Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu:
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. CoRR abs/2405.07696 (2024) - 2023
- [j362]Ge-Peng Ji, Deng-Ping Fan, Keren Fu, Zhe Wu, Jianbing Shen, Ling Shao:
Full-duplex strategy for video object segmentation. Comput. Vis. Media 9(1): 155-175 (2023) - [j361]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. Int. J. Comput. Vis. 131(3): 644-658 (2023) - [j360]Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji:
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131(5): 1234-1249 (2023) - [j359]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 197-210 (2023) - [j358]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs With Semantic-Aware Upsampling for Image Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 768-784 (2023) - [j357]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1934-1948 (2023) - [j356]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2344-2366 (2023) - [j355]Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao:
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3707-3720 (2023) - [j354]Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3738-3752 (2023) - [j353]Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3798-3812 (2023) - [j352]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6277-6288 (2023) - [j351]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) - [j350]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking With a Compact Latent Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8049-8062 (2023) - [j349]Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao:
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8577-8593 (2023) - [j348]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) - [j347]Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao:
Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11321-11339 (2023) - [j346]Haoran Duan, Yang Long, Shidong Wang, Haofeng Zhang, Chris G. Willcocks, Ling Shao:
Dynamic Unary Convolution in Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12747-12759 (2023) - [j345]Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao:
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12844-12861 (2023) - [j344]Taotao Li, Zhenyu Wen, Yang Long, Zhen Hong, Shilian Zheng, Li Yu, Bo Chen, Xiaoniu Yang, Ling Shao:
The Importance of Expert Knowledge for Automatic Modulation Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13730-13748 (2023) - [j343]Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14611-14624 (2023) - [j342]Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023) - [j341]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142: 109726 (2023) - [j340]Luming Zhang, Guifeng Wang, Ming Chen, Fuji Ren, Ling Shao:
An enhanced noise-tolerant hashing for drone object detection. Pattern Recognit. 143: 109762 (2023) - [j339]Ziyun Cai, Xiao-Yuan Jing, Ling Shao:
Domain embedding transfer for unequal RGB-D image recognition. Pattern Recognit. 143: 109771 (2023) - [j338]Guo-Sen Xie, Zheng Zhang, Huan Xiong, Ling Shao, Xuelong Li:
Towards Zero-Shot Learning: A Brief Review and an Attention-Based Embedding Network. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1181-1197 (2023) - [j337]Yang Liu, Xinbo Gao, Jungong Han, Ling Shao:
A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning. IEEE Trans. Cybern. 53(6): 3794-3805 (2023) - [j336]Shanshan Feng, Kaiqi Zhao, Lanting Fang, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao:
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction. IEEE Trans. Knowl. Data Eng. 35(9): 8784-8798 (2023) - [j335]Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao:
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35(9): 9140-9153 (2023) - [j334]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j333]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j332]Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j331]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) - [j330]Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao:
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Trans. Multim. 25: 1773-1783 (2023) - [j329]Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji:
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation. IEEE Trans. Multim. 25: 3180-3189 (2023) - [j328]Ni Zhang, Nian Liu, Junwei Han, Kaiyuan Wan, Ling Shao:
Face De-Occlusion With Deep Cascade Guidance Learning. IEEE Trans. Multim. 25: 3217-3229 (2023) - [j327]Jiayi Ji, Xiaoyang Huang, Xiaoshuai Sun, Yiyi Zhou, Gen Luo, Liujuan Cao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Multi-Branch Distance-Sensitive Self-Attention Network for Image Captioning. IEEE Trans. Multim. 25: 3962-3974 (2023) - [j326]Pengcheng Gao, Ke Lu, Jian Xue, Jiayi Lyu, Ling Shao:
A Facial Landmark Detection Method Based on Deep Knowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1342-1353 (2023) - [j325]Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8743-8752 (2023) - [j324]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9139-9148 (2023) - [j323]Guo-Sen Xie, Xu-Yao Zhang, Tian-Zhu Xiang, Fang Zhao, Zheng Zhang, Ling Shao, Xuelong Li:
Leveraging Balanced Semantic Embedding for Generative Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9575-9582 (2023) - [j322]Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao:
Automatic Schelling Point Detection From Meshes. IEEE Trans. Vis. Comput. Graph. 29(6): 2926-2939 (2023) - [c303]Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao:
High-Resolution Iterative Feedback Network for Camouflaged Object Detection. AAAI 2023: 881-889 - [c302]Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CVPR 2023: 2173-2182 - [c301]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CVPR 2023: 9476-9485 - [c300]Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Pose-Free Neural Radiance Fields via Implicit Pose Regularization. ICCV 2023: 3511-3520 - [c299]Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu:
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields. ICCV 2023: 18149-18158 - [c298]Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu:
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. NeurIPS 2023 - [i222]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking with a Compact Latent Network. CoRR abs/2302.00930 (2023) - [i221]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CoRR abs/2303.06388 (2023) - [i220]Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CoRR abs/2303.08225 (2023) - [i219]Aoran Xiao, Xiaoqin Zhang, Ling Shao, Shijian Lu:
A Survey of Label-Efficient Deep Learning for 3D Point Clouds. CoRR abs/2305.19812 (2023) - [i218]Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu:
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields. CoRR abs/2308.04826 (2023) - [i217]Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao:
COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR abs/2308.10450 (2023) - [i216]Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Pose-Free Neural Radiance Fields via Implicit Pose Regularization. CoRR abs/2308.15049 (2023) - [i215]Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You:
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection. CoRR abs/2309.08196 (2023) - [i214]Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu:
Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. CoRR abs/2309.13505 (2023) - 2022
- [j321]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
PVT v2: Improved baselines with Pyramid Vision Transformer. Comput. Vis. Media 8(3): 415-424 (2022) - [j320]Ziyun Cai, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao:
Unequal adaptive visual recognition by learning from multi-modal data. Inf. Sci. 600: 1-21 (2022) - [j319]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Anal. 82: 102603 (2022) - [j318]Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022) - [j317]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-Identification: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2872-2893 (2022) - [j316]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) - [j315]Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4913-4934 (2022) - [j314]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6024-6042 (2022) - [j313]Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao:
Instance-Level Relative Saliency Ranking With Graph Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8321-8337 (2022) - [j312]Nian Liu, Ni Zhang, Ling Shao, Junwei Han:
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9026-9042 (2022) - [j311]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) - [j310]Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu:
Context-Aware Block Net for Small Object Detection. IEEE Trans. Cybern. 52(4): 2300-2313 (2022) - [j309]Luming Zhang, Yongheng Shang, Ping Li, Hao Luo, Ling Shao:
Community-Aware Photo Quality Evaluation by Deeply Encoding Human Perception. IEEE Trans. Cybern. 52(5): 3136-3146 (2022) - [j308]Ziyun Cai, Xiao-Yuan Jing, Ling Shao:
Visual-Depth Matching Network: Deep RGB-D Domain Adaptation With Unequal Categories. IEEE Trans. Cybern. 52(6): 4623-4635 (2022) - [j307]Luming Zhang, Ge Su, Jianwei Yin, Ying Li, Qiuru Lin, Xiaoqin Zhang, Ling Shao:
Bioinspired Scene Classification by Deep Active Learning With Remote Sensing Applications. IEEE Trans. Cybern. 52(7): 5682-5694 (2022) - [j306]Mang Ye, Cuiqun Chen, Jianbing Shen, Ling Shao:
Dynamic Tri-Level Relation Mining With Attentive Graph for Visible Infrared Re-Identification. IEEE Trans. Inf. Forensics Secur. 17: 386-398 (2022) - [j305]Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao:
Variational Abnormal Behavior Detection With Motion Consistency. IEEE Trans. Image Process. 31: 275-286 (2022) - [j304]Mang Ye, He Li, Bo Du, Jianbing Shen, Ling Shao, Steven C. H. Hoi:
Collaborative Refining for Person Re-Identification With Label Noise. IEEE Trans. Image Process. 31: 379-391 (2022) - [j303]Tianfei Zhou, Liulei Li, Xueyi Li, Chun-Mei Feng, Jianwu Li, Ling Shao:
Group-Wise Learning for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. 31: 799-811 (2022) - [j302]Wenhao Wang, Fang Zhao, Shengcai Liao, Ling Shao:
Attentive WaveBlock: Complementarity-Enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-Identification and Beyond. IEEE Trans. Image Process. 31: 1532-1544 (2022) - [j301]Fangneng Zhan, Yingchen Yu, Changgong Zhang, Rongliang Wu, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao:
GMLight: Lighting Estimation via Geometric Distribution Approximation. IEEE Trans. Image Process. 31: 2268-2278 (2022) - [j300]Qiuxia Lai, Tianfei Zhou, Salman H. Khan, Hanqiu Sun, Jianbing Shen, Ling Shao:
Weakly Supervised Visual Saliency Prediction. IEEE Trans. Image Process. 31: 3111-3124 (2022) - [j299]Tiantian Geng, Feng Zheng, Xiaorong Hou, Ke Lu, Guo-Jun Qi, Ling Shao:
Spatial-Temporal Pyramid Graph Reasoning for Action Recognition. IEEE Trans. Image Process. 31: 5484-5497 (2022) - [j298]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. IEEE J. Biomed. Health Informatics 26(1): 56-66 (2022) - [j297]Jing Li, Billy Chiu, Shuo Shang, Ling Shao:
Neural Text Segmentation and its Application to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 34(2): 828-842 (2022) - [j296]