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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
- Ling Shao 0005 — University of Chinese Academy of Sciences, UCAS-Terminus AI Lab, Beijing, China
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2020 – today
- 2024
- [j383]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) - [j382]Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024) - [j381]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) - [j380]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) - [j379]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) - [j378]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) - [j377]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) - [j376]Aoran Xiao
, Xiaoqin Zhang
, Ling Shao
, Shijian Lu
:
A Survey of Label-Efficient Deep Learning for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9139-9160 (2024) - [j375]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) - [j374]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) - [j373]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) - [j372]Zehai Niu
, Ke Lu
, Jian Xue
, Xiaoyu Qin
, Jinbao Wang
, Ling Shao
:
From Methods to Applications: A Review of Deep 3D Human Motion Capture. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11340-11359 (2024) - [j371]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) - [j370]Zhimeng Xin
, Tianxu Wu
, Shiming Chen
, Yixiong Zou
, Ling Shao
, Xinge You
:
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection. IEEE Trans. Image Process. 33: 5564-5576 (2024) - [j369]Xingping Dong
, Tianran Ouyang
, Shengcai Liao
, Bo Du
, Ling Shao
:
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. IEEE Trans. Image Process. 33: 5663-5675 (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) - [c309]Aoran Xiao
, Weihao Xuan
, Heli Qi
, Yun Xing
, Ruijie Ren
, Xiaoqin Zhang
, Ling Shao
, Shijian Lu
:
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model. ECCV (40) 2024: 189-206 - [c308]Kai Jiang
, Jiaxing Huang
, Weiying Xie
, Jie Lei
, Yunsong Li, Ling Shao
, Shijian Lu
:
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception. ECCV (82) 2024: 322-341 - [c307]Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu:
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. NeurIPS 2024 - [c306]Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu:
Domain Adaptation for Large-Vocabulary Object Detectors. NeurIPS 2024 - [c305]Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Historical Test-time Prompt Tuning for Vision Foundation Models. NeurIPS 2024 - [c304]Kunhao Liu
, Fangneng Zhan
, Muyu Xu
, Christian Theobalt
, Ling Shao
, Shijian Lu
:
StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting. SIGGRAPH Asia Technical Communications 2024: 21:1-21:4 - [i232]Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu:
Domain Adaptation for Large-Vocabulary Object Detectors. CoRR abs/2401.06969 (2024) - [i231]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) - [i230]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) - [i229]Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao:
Latent Semantic Consensus For Deterministic Geometric Model Fitting. CoRR abs/2403.06444 (2024) - [i228]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) - [i227]Han Qiu, Jiaxing Huang, Peng Gao, Qin Qi, Xiaoqin Zhang, Ling Shao, Shijian Lu:
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language Models. CoRR abs/2410.09962 (2024) - [i226]Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Historical Test-time Prompt Tuning for Vision Foundation Models. CoRR abs/2410.20346 (2024) - [i225]Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang:
GWQ: Gradient-Aware Weight Quantization for Large Language Models. CoRR abs/2411.00850 (2024) - [i224]Jiawei Mao, Yu Yang, Xuesong Yin, Ling Shao, Hao Tang:
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations. CoRR abs/2411.10708 (2024) - [i223]Xueying Jiang, Lewei Lu, Ling Shao, Shijian Lu:
Multimodal 3D Reasoning Segmentation with Complex Scenes. CoRR abs/2411.13927 (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]