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Ling 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
- 2023
- [j352]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) - [j351]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) - [j350]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) - [j349]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) - [j348]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) - [j347]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) - [j346]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) - [j345]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) - [j344]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) - [j343]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) - [j342]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) - [j341]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) - [j340]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) - [j339]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) - [j338]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) - [j337]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) - [j336]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) - [j335]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) - [j334]Luming Zhang, Guifeng Wang, Ming Chen, Fuji Ren, Ling Shao:
An enhanced noise-tolerant hashing for drone object detection. Pattern Recognit. 143: 109762 (2023) - [j333]Ziyun Cai, Xiao-Yuan Jing, Ling Shao:
Domain embedding transfer for unequal RGB-D image recognition. Pattern Recognit. 143: 109771 (2023) - [j332]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) - [j331]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) - [j330]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) - [j329]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) - [j328]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) - [j327]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) - [j326]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) - [j325]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) - [j324]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) - [j323]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) - [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) - [c300]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 - [c299]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 - [c298]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CVPR 2023: 9476-9485 - [i221]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking with a Compact Latent Network. CoRR abs/2302.00930 (2023) - [i220]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CoRR abs/2303.06388 (2023) - [i219]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) - [i218]Aoran Xiao, Xiaoqin Zhang, Ling Shao, Shijian Lu:
A Survey of Label-Efficient Deep Learning for 3D Point Clouds. CoRR abs/2305.19812 (2023) - [i217]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) - [i216]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) - [i215]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) - [i214]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) - 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]Yanhao Tan
, Mohammad Muntasir Rahman
, Yanfu Yan, Jian Xue
, Ling Shao
, Ke Lu
:
Fine-Grained Categorization From RGB-D Images. IEEE Trans. Multim. 24: 917-928 (2022) - [j295]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) - [j294]Luming Zhang
, Xiaoqin Zhang
, Mingliang Xu, Ling Shao
:
Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4017-4030 (2022) - [j293]Zhong Ji
, Ping An, Xiyao Liu
, Yanwei Pang
, Ling Shao
, Zhongfei Zhang
:
Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5443-5455 (2022) - [c297]Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. AAAI 2022: 321-329 - [c296]Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao:
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. AAAI 2022: 2379-2387 - [c295]Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao:
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CVPR 2022: 1193-1204 - [c294]Dongming Wu
, Xingping Dong, Ling Shao, Jianbing Shen:
Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. CVPR 2022: 4986-4995 - [c293]Shengcai Liao, Ling Shao:
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. CVPR 2022: 7349-7358 - [c292]Yuanwei Liu, Nian Liu
, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao:
Learning Non-target Knowledge for Few-shot Semantic Segmentation. CVPR 2022: 11563-11572 - [c291]Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek:
Audio-Adaptive Activity Recognition Across Video Domains. CVPR 2022: 13781-13790 - [c290]Xuebin Qin
, Hang Dai
, Xiaobin Hu
, Deng-Ping Fan
, Ling Shao
, Luc Van Gool
:
Highly Accurate Dichotomous Image Segmentation. ECCV (18) 2022: 38-56 - [c289]Xingping Dong
, Jianbing Shen
, Ling Shao
:
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. ECCV (20) 2022: 169-186 - [c288]Yawen Huang, Feng Zheng, Xu Sun
, Yuexiang Li, Ling Shao, Yefeng Zheng:
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. ECCV (34) 2022: 183-199 - [c287]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR 2022 - [c286]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. ICLR 2022 - [c285]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. IJCAI 2022: 1088-1094 - [c284]Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao:
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. NeurIPS 2022 - [i213]Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond. CoRR abs/2201.03176 (2022) - [i212]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. CoRR abs/2202.04861 (2022) - [i211]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR abs/2202.07190 (2022) - [i210]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. CoRR abs/2202.08045 (2022) - [i209]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs with Semantic-Aware Upsampling for Image Generation. CoRR abs/2203.00047 (2022) - [i208]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. CoRR abs/2203.03041 (2022) - [i207]Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, Ling Shao:
High-resolution Iterative Feedback Network for Camouflaged Object Detection. CoRR abs/2203.11624 (2022) - [i206]Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen, Ling Shao:
RGBD Object Tracking: An In-depth Review. CoRR abs/2203.14134 (2022) - [i205]Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek:
Audio-Adaptive Activity Recognition Across Video Domains. CoRR abs/2203.14240 (2022) - [i204]Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham:
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR abs/2204.09138 (2022) - [i203]Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. CoRR abs/2204.11531 (2022) - [i202]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. CoRR abs/2205.01649 (2022) - [i201]Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao:
Learning Non-target Knowledge for Few-shot Semantic Segmentation. CoRR abs/2205.04903 (2022) - [i200]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. CoRR abs/2207.03917 (2022) - [i199]Xingping Dong, Ling Shao, Shengcai Liao:
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. CoRR abs/2207.06817 (2022) - [i198]Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao:
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. CoRR abs/2208.00223 (2022) - [i197]Xingping Dong, Jianbing Shen, Ling Shao:
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. CoRR abs/2209.13635 (2022) - [i196]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. CoRR abs/2211.06719 (2022) - [i195]Chenyi Jiang, Dubing Chen, Shidong Wang, Yuming Shen, Haofeng Zhang, Ling Shao:
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning. CoRR abs/2211.10647 (2022) - [i194]Dubing Chen, Haofeng Zhang, Yuming Shen, Yang Long, Ling Shao:
Evolutionary Generalized Zero-Shot Learning. CoRR abs/2211.13174 (2022) - 2021
- [j292]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) - [j291]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) - [j290]Jinbao Wang
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