Ling Shao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 744

Top Venues

CoRR

IEEE Trans. Image Process.

CVPR

ICCV

University of Oxford, UK (PHD)

Education History

University of Oxford, UK

PHD

Publications

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) (2024)
Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception. CoRR (2024)
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) (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu
Domain Adaptation for Large-Vocabulary Object Detectors. CoRR (2024)
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) (2024)
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) (2024)
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) (2024)
Xun Zhang, Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao
Adaptive Relation-Aware Network for zero-shot classification. Neural Networks 174 (2024)
Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR (2024)
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 (2024)
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) (2024)
Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. CoRR (2024)
Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao
Latent Semantic Consensus For Deterministic Geometric Model Fitting. CoRR (2024)
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) (2023)
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) (2023)
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)
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)
Ni Zhang, Nian Liu, Junwei Han, Kaiyuan Wan, Ling Shao
Face De-Occlusion With Deep Cascade Guidance Learning. IEEE Trans. Multim. 25 (2023)
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) (2023)
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) (2023)
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 (2023)
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 (2023)
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)
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) (2023)
Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao
Automatic Schelling Point Detection From Meshes. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
Ziyun Cai, Xiao-Yuan Jing, Ling Shao
Domain embedding transfer for unequal RGB-D image recognition. Pattern Recognit. 143 (2023)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
Luming Zhang, Guifeng Wang, Ming Chen, Fuji Ren, Ling Shao
An enhanced noise-tolerant hashing for drone object detection. Pattern Recognit. 143 (2023)
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
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) (2023)
Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao
Adaptive Siamese Tracking with a Compact Latent Network. CoRR (2023)
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 (2023)
Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields. CoRR (2023)
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) (2023)
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) (2023)
Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu
Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. CoRR (2023)
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 (2023)
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)
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) (2023)
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) (2023)
Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection. CoRR (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CVPR (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Yang Liu, Xinbo Gao, Jungong Han, Ling Shao
A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning. IEEE Trans. Cybern. 53 (6) (2023)
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) (2023)
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 (2023)
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) (2023)
Aoran Xiao, Xiaoqin Zhang, Ling Shao, Shijian Lu
A Survey of Label-Efficient Deep Learning for 3D Point Clouds. CoRR (2023)
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)
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) (2023)
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) (2023)
Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CoRR (2023)
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) (2023)
Yanhao Tan, Mohammad Muntasir Rahman, Yanfu Yan, Jian Xue, Ling Shao, Ke Lu
Fine-Grained Categorization From RGB-D Images. IEEE Trans. Multim. 24 (2022)
Xingping Dong, Ling Shao, Shengcai Liao
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. CoRR (2022)
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) (2022)
Ziyun Cai, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao
Unequal adaptive visual recognition by learning from multi-modal data. Inf. Sci. 600 (2022)
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)
Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool
Highly Accurate Dichotomous Image Segmentation. CoRR (2022)
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) (2022)
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) (2022)
Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen
Consistency and Diversity induced Human Motion Segmentation. CoRR (2022)
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) (2022)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao
Learning Non-target Knowledge for Few-shot Semantic Segmentation. CoRR (2022)
Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao
Learning Non-target Knowledge for Few-shot Semantic Segmentation. CVPR (2022)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. NeurIPS (2022)
Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond. CoRR (2022)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CVPR (2022)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. CoRR (2022)
Yang Liu, Xinbo Gao, Jungong Han, Li Liu, Ling Shao
Zero-shot learning via a specific rank-controlled semantic autoencoder. Pattern Recognit. 122 (2022)
Xingping Dong, Jianbing Shen, Ling Shao
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. ECCV (20) (2022)
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 (2022)
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) (2022)
Shengcai Liao, Ling Shao
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. CVPR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ling Shao