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ORCIDLing Shao 0001
Person information
- affiliation: University of Chinese Academy of Sciences, UCAS-Terminus AI Lab, Beijing, China
- 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
- 2026
[j405]Ziyun Cai
, Jiacheng Liu, Yawen Huang, Changhui Hu, Xian Wu, Xiao-Yuan Jing, Ling Shao:
Make source-free transfer great: Dynamic uncertainty-driven confident fusion for multi-source-free domain adaptation. Inf. Fusion 127: 103859 (2026)- [j404]Zeyu Wang, Shuang Yu, Haoran Duan, Shidong Wang, Yang Long, Ling Shao:
Rethinking Multi-Focus Image Fusion: An Input Space Optimization View. IEEE Trans. Image Process. 35: 1321-1336 (2026) - [i262]Hongzhuo Yu, Fei Zhu, Guo-Sen Xie, Ling Shao:
Self-Consolidation for Self-Evolving Agents. CoRR abs/2602.01966 (2026) - 2025
- [j403]Shiming Chen, Ziming Hong, Xinge You, Ling Shao:
Semantics-Conditioned Generative Zero-Shot Learning via Feature Refinement. Int. J. Comput. Vis. 133(7): 4504-4521 (2025) - [j402]Jiaxing Huang, Jingyi Zhang, Kai Jiang, Han Qiu, Xiaoqin Zhang, Ling Shao, Shijian Lu, Dacheng Tao:
Visual Instruction Tuning towards General-Purpose Multimodal Large Language Model: A Survey. Int. J. Comput. Vis. 133(11): 8151-8189 (2025) - [j401]Yang Liu, Yuhao Dang, Huaizhou Qi, Jungong Han, Ling Shao:
Zero-shot sketch-based remote sensing image retrieval based on cross-modal fusion. Neural Networks 191: 107796 (2025) - [j400]Chenyi Jiang, Shidong Wang, Yang Long, Zechao Li, Haofeng Zhang, Ling Shao:
Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 1395-1413 (2025) - [j399]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Enhanced Multi-Scale Cross-Attention for Person Image Generation. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3377-3393 (2025) - [j398]Xingyu Miao, Haoran Duan, Yang Bai, Tejal Shah, Jun Song, Yang Long, Rajiv Ranjan, Ling Shao:
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3922-3934 (2025) - [j397]Tianran Ouyang, Xingping Dong, Mang Ye, Bo Du, Ling Shao, Jianbing Shen:
Semantic-Aware Pseudo-Labeling for Unsupervised Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5475-5488 (2025) - [j396]Hao Tang, Ling Shao, Zhenyu Zhang, Luc Van Gool, Nicu Sebe:
Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 9626-9636 (2025) - [j395]Tiantian Geng, Teng Wang, Jinming Duan, Yanfu Zhang, Weili Guan, Feng Zheng, Ling Shao:
UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 10280-10294 (2025) - [j394]Yang Liu, Jiale Du, Xinbo Gao, Jungong Han, Ling Shao:
Relation-Aware Meta-Learning for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 35(12): 12538-12549 (2025) - [j393]Yang Liu, Weixing Luo, Xinbo Gao, Jungong Han, Ling Shao:
Robust and Discriminative Visual-Semantic Alignment for Zero-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j392]Yang Liu, Xinshuo Wang, Xinbo Gao, Jungong Han, Ling Shao:
Multi-Level Contextual Prototype Modulation for Compositional Zero-Shot Learning. IEEE Trans. Image Process. 34: 4856-4868 (2025) - [j391]Ranwan Wu, Tian-Zhu Xiang, Guo-Sen Xie, Rongrong Gao, Xiangbo Shu, Fang Zhao, Ling Shao:
Uncertainty-Aware Transformer for Referring Camouflaged Object Detection. IEEE Trans. Image Process. 34: 5341-5354 (2025) - [j390]Yazhou Zhu, Shidong Wang, Tao Zhou, Zechao Li, Haofeng Zhang, Ling Shao:
Cross-Domain Few-Shot Medical Image Segmentation via Dynamic Semantic Matching. IEEE Trans. Image Process. 34: 6669-6682 (2025) - [j389]Ziming Cheng, Shidong Wang, Yang Long, Tao Zhou, Hao-feng Zhang, Ling Shao:
Dual Interspersion and Flexible Deployment for Few-Shot Medical Image Segmentation. IEEE Trans. Medical Imaging 44(6): 2732-2744 (2025) - [j388]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3965-3975 (2025) - [j387]Luming Zhang, Guifeng Wang, Ming Chen, Ling Shao:
A UHD Aerial Photograph Categorization System by Learning a Noise-Tolerant Topology Kernel. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9699-9708 (2025) - [j386]Yang Liu, Xinshuo Wang, Xinbo Gao, Jungong Han, Ling Shao:
Concept-Aware Graph Convolutional Network for Compositional Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10394-10406 (2025) - [j385]Guo-Sen Xie, Junyi Li, Ting Guo, Xiangbo Shu, Fang Zhao, Zheng Zhang, Ling Shao:
Attribute Prompt Alignment Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 36(12): 20457-20463 (2025) - [c312]Jiahui Zhang, Fangneng Zhan, Ling Shao, Shijian Lu:
SOGS: Second-Order Anchor for Advanced 3D Gaussian Splatting. CVPR 2025: 11167-11176 - [c311]Fanhu Zeng, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang:
MambaIC: State Space Models for High-Performance Learned Image Compression. CVPR 2025: 18041-18050 - [c310]Zhirui Chen, Wei Shen, Jiashui Huang, Ling Shao:
Joint Enhancement of Relational Reasoning for Long-Context LLMs. EMNLP (Findings) 2025: 8706-8720 - [i261]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Enhanced Multi-Scale Cross-Attention for Person Image Generation. CoRR abs/2501.08900 (2025) - [i260]Xingyu Miao, Haoran Duan, Yang Bai, Tejal Shah, Jun Song, Yang Long, Rajiv Ranjan, Ling Shao:
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields. CoRR abs/2501.19084 (2025) - [i259]Guohao Huo, Ruiting Dai, Ling Shao, Hao Tang:
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation. CoRR abs/2502.03829 (2025) - [i258]Jiahui Zhang, Fangneng Zhan, Ling Shao, Shijian Lu:
SOGS: Second-Order Anchor for Advanced 3D Gaussian Splatting. CoRR abs/2503.07476 (2025) - [i257]Fanhu Zeng, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang:
MambaIC: State Space Models for High-Performance Learned Image Compression. CoRR abs/2503.12461 (2025) - [i256]Xueying Jiang, Wenhao Li, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Exploring 3D Activity Reasoning and Planning: From Implicit Human Intentions to Route-Aware Planning. CoRR abs/2503.12974 (2025) - [i255]Sifan Li, Ming Tao, Hao Zhao, Ling Shao, Hao Tang:
Replace in Translation: Boost Concept Alignment in Counterfactual Text-to-Image. CoRR abs/2505.14341 (2025) - [i254]Hao Tang, Ling Shao, Zhenyu Zhang, Luc Van Gool, Nicu Sebe:
Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis. CoRR abs/2507.06689 (2025) - [i253]Yu Wei, Jiahui Zhang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations. CoRR abs/2507.13891 (2025) - [i252]Xingyu Miao, Haoran Duan, Quanhao Qian, Jiuniu Wang, Yang Long, Ling Shao, Deli Zhao, Ran Xu, Gongjie Zhang:
Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting. CoRR abs/2507.18678 (2025) - [i251]Zhirui Chen, Wei Shen, Jiashui Huang, Ling Shao:
Joint Enhancement of Relational Reasoning for Long-Context LLMs. CoRR abs/2508.20351 (2025) - [i250]Yilin Tao, Jiashui Huang, Huaze Xu, Ling Shao:
Aesthetic Image Captioning with Saliency Enhanced MLLMs. CoRR abs/2509.04378 (2025) - [i249]Boyuan Zhang, Yingjun Du, Xiantong Zhen, Ling Shao:
Variational Task Vector Composition. CoRR abs/2509.18208 (2025) - [i248]Kaile Du, Zihan Ye, Junzhou Xie, Fan Lyu, Yixi Shen, Yuyang Li, Miaoxuan Zhu, Fuyuan Hu, Ling Shao, Guangcan Liu:
DDP: Dual-Decoupled Prompting for Multi-Label Class-Incremental Learning. CoRR abs/2509.23335 (2025) - [i247]Zizhao Tong, Di Chen, Sicheng Hu, Hongwei Fan, Liliang Chen, Guanghui Ren, Hao Tang, Hao Dong, Ling Shao:
Fidelity-Aware Data Composition for Robust Robot Generalization. CoRR abs/2509.24797 (2025) - [i246]Han Qiu, Peng Gao, Lewei Lu, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Spatial Preference Rewarding for MLLMs Spatial Understanding. CoRR abs/2510.14374 (2025) - [i245]Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan L. Yuille, Zongwei Zhou:
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data. CoRR abs/2510.14831 (2025) - [i244]Duo Li, Zuhao Yang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models. CoRR abs/2511.15098 (2025) - [i243]Wenbo Lyu, Yingjun Du, Jinglin Zhao, Xiantong Zhen, Ling Shao:
VisChainBench: A Benchmark for Multi-Turn, Multi-Image Visual Reasoning Beyond Language Priors. CoRR abs/2512.06759 (2025) - [i242]Muyu Xu, Fangneng Zhan, Xiaoqin Zhang, Ling Shao, Shijian Lu:
MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation. CoRR abs/2512.07165 (2025) - [i241]Yuqing Lei, Yingjun Du, Yawen Huang, Xiantong Zhen, Ling Shao:
MetaTPT: Meta Test-time Prompt Tuning for Vision-Language Models. CoRR abs/2512.12268 (2025) - [i240]Zhiyuan Peng, Zihan Ye, Shreyank N. Gowda, Yuping Yan, Haotian Xu, Ling Shao:
Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities. CoRR abs/2512.18651 (2025) - [i239]Yuntian Bo, Tao Zhou, Zechao Li, Haofeng Zhang, Ling Shao:
Contrastive Graph Modeling for Cross-Domain Few-Shot Medical Image Segmentation. CoRR abs/2512.21683 (2025) - 2024
- [j384]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) - [j383]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) - [j382]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) - [j381]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) - [j380]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) - [j379]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) - [j378]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) - [j377]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) - [j376]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) - [j375]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) - [j374]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) - [j373]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) - [j372]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) - [j371]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) - [j370]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) - [j369]Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu:
Delving Into Multi-Modal Multi-Task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. IEEE Trans. Intell. Veh. 9(12): 8040-8063 (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 - [i238]Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu:
Domain Adaptation for Large-Vocabulary Object Detectors. CoRR abs/2401.06969 (2024) - [i237]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) - [i236]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) - [i235]Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu:
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. CoRR abs/2402.02968 (2024) - [i234]Aoran Xiao, Weihao Xuan, Heli Qi, Yun Xing, Ruijie Ren, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Conditional Tuning Network for Few-Shot Adaptation of Segmentation Anything Model. CoRR abs/2402.03631 (2024) - [i233]Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao:
Latent Semantic Consensus For Deterministic Geometric Model Fitting. CoRR abs/2403.06444 (2024) - [i232]Kunhao Liu, Fangneng Zhan, Muyu Xu, Christian Theobalt, Ling Shao, Shijian Lu:
StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting. CoRR abs/2403.07807 (2024) - [i231]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) - [i230]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) - [i229]Aoming Liang, Zhaoyang Mu, Pengxiao Lin, Cong Wang, Mingming Ge, Ling Shao, Dixia Fan, Hao Tang:
M2M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need. CoRR abs/2410.11617 (2024) - [i228]Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Historical Test-time Prompt Tuning for Vision Foundation Models. CoRR abs/2410.20346 (2024) - [i227]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) - [i226]Ao Fu, Yi Zhou, Tao Zhou, Yi Yang, Bojun Gao, Qun Li, Guobin Wu, Ling Shao:
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey. CoRR abs/2411.02914 (2024) - [i225]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) - [i224]Xueying Jiang, Lewei Lu, Ling Shao, Shijian Lu:
Multimodal 3D Reasoning Segmentation with Complex Scenes. CoRR abs/2411.13927 (2024) - [i223]Kunhao Liu, Ling Shao, Shijian Lu:
Novel View Extrapolation with Video Diffusion Priors. CoRR abs/2411.14208 (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]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, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, Ling Shao:
Deep 3D human pose estimation: A review. Comput. Vis. Image Underst. 210: 103225 (2021) - [j289]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D salient object detection: A survey. Comput. Vis. Media 7(1): 37-69 (2021) - [j288]Haibo Jin, Shengcai Liao, Ling Shao:
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. Int. J. Comput. Vis. 129(12): 3174-3194 (2021) - [j287]Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, Qi Tian:
Real-time semantic segmentation via sequential knowledge distillation. Neurocomputing 439: 134-145 (2021) - [j286]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452: 37-47 (2021) - [j285]Weiwei Wang, Haofeng Zhang, Zheng Zhang, Li Liu, Ling Shao:
Sparse graph based self-supervised hashing for scalable image retrieval. Inf. Sci. 547: 622-640 (2021) - [j284]Yuan Huang, Xingsong Hou, Yujie Dun, Jie Qin, Li Liu, Xueming Qian, Ling Shao:
Learning Deformable and Attentive Network for image restoration. Knowl. Based Syst. 231: 107384 (2021) - [j283]Nuhman ul Haq, Ahmad Khan, Zia ur Rehman, Ahmad Din, Ling Shao, Sajid Shah:
A novel weight initialization with adaptive hyper-parameters for deep semantic segmentation. Multim. Tools Appl. 80(14): 21771-21787 (2021) - [j282]Haofeng Zhang, Yinduo Wang, Yang Long, Longzhi Yang, Ling Shao:
Modality independent adversarial network for generalized zero shot image classification. Neural Networks 134: 11-22 (2021) - [j281]Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, Fatih Porikli:
Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1515-1529 (2021) - [j280]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Deeply Supervised Discriminative Learning for Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3154-3166 (2021) - [j279]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. Pattern Recognit. 111: 107677 (2021) - [j278]Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, Ling Shao:
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection. Pattern Recognit. 112: 107740 (2021) - [j277]Haofeng Zhang, Haoyue Bai, Yang Long, Li Liu, Ling Shao:
A plug-in attribute correction module for generalized zero-shot learning. Pattern Recognit. 112: 107767 (2021) - [j276]Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao:
Relation-based Discriminative Cooperation Network for Zero-Shot Classification. Pattern Recognit. 118: 108024 (2021) - [j275]Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang:
Scaled Simplex Representation for Subspace Clustering. IEEE Trans. Cybern. 51(3): 1493-1505 (2021) - [j274]Luming Zhang, Ronghua Liang, Jianwei Yin, Dongxiang Zhang, Ling Shao:
Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context. IEEE Trans. Cybern. 51(8): 4265-4276 (2021) - [j273]Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Trans. Geosci. Remote. Sens. 59(8): 6549-6561 (2021) - [j272]Mang Ye, Jianbing Shen, Ling Shao:
Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning. IEEE Trans. Inf. Forensics Secur. 16: 728-739 (2021) - [j271]Yazhao Li, Yanwei Pang, Jiale Cao, Jianbing Shen, Ling Shao:
Improving Single Shot Object Detection With Feature Scale Unmixing. IEEE Trans. Image Process. 30: 2708-2721 (2021) - [j270]Jin Xie, Yanwei Pang, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection. IEEE Trans. Image Process. 30: 3872-3884 (2021) - [j269]Hongsong Wang, Shengcai Liao, Ling Shao:
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection. IEEE Trans. Image Process. 30: 4046-4056 (2021) - [j268]Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, Ling Shao:
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning. IEEE Trans. Image Process. 30: 4316-4329 (2021) - [j267]Biao Qian, Yang Wang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. IEEE Trans. Image Process. 30: 4894-4904 (2021) - [j266]Nian Liu, Wangbo Zhao, Ling Shao, Junwei Han:
SCG: Saliency and Contour Guided Salient Instance Segmentation. IEEE Trans. Image Process. 30: 5862-5874 (2021) - [j265]Jinbao Wang, Shuo Xu, Feng Zheng, Ke Lu, Jingkuan Song, Ling Shao:
Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval. IEEE Trans. Image Process. 30: 6321-6334 (2021) - [j264]Zan Chen, Wenlong Guo, Yuanjing Feng, Yongqiang Li, Changchen Zhao, Yi Ren, Ling Shao:
Deep-Learned Regularization and Proximal Operator for Image Compressive Sensing. IEEE Trans. Image Process. 30: 7112-7126 (2021) - [j263]Luming Zhang, Zhigeng Pan, Ling Shao:
Semi-Supervised Perception Augmentation for Aerial Photo Topologies Understanding. IEEE Trans. Image Process. 30: 7803-7814 (2021) - [j262]Yingjie Zhai, Deng-Ping Fan, Jufeng Yang, Ali Borji, Ling Shao, Junwei Han, Liang Wang:
Bifurcated Backbone Strategy for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 8727-8742 (2021) - [j261]Shiyu Liu, Haofeng Zhang, Ling Shao, Jingyu Yang:
Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road Segmentation. IEEE Trans. Intell. Transp. Syst. 22(9): 5520-5534 (2021) - [j260]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40(3): 818-828 (2021) - [j259]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Modeling and Enhancing Low-Quality Retinal Fundus Images. IEEE Trans. Medical Imaging 40(3): 996-1006 (2021) - [j258]Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging 40(4): 1196-1206 (2021) - [j257]Dwarikanath Mahapatra, Alexander Pollinger, Ling Shao, Mauricio Reyes:
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. IEEE Trans. Medical Imaging 40(10): 2548-2562 (2021) - [j256]Pengcheng Gao, Ke Lu, Jian Xue, Ling Shao, Jiayi Lyu:
A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism. IEEE Trans. Multim. 23: 926-938 (2021) - [j255]Qiuxia Lai, Salman H. Khan, Yongwei Nie, Hanqiu Sun, Jianbing Shen, Ling Shao:
Understanding More About Human and Machine Attention in Deep Neural Networks. IEEE Trans. Multim. 23: 2086-2099 (2021) - [j254]Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao:
Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval. IEEE Trans. Multim. 23: 3400-3413 (2021) - [j253]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [j252]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Internal and external memory set containment join. VLDB J. 30(3): 447-470 (2021) - [j251]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Correction to: Internal and external memory set containment join. VLDB J. 30(5): 907 (2021) - [c283]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c282]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI 2021: 768-776 - [c281]Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. AAAI 2021: 2638-2646 - [c280]Ziyun Cai, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao:
Grand Unified Domain Adaptation. BMVC 2021: 149 - [c279]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC 2021: 207 - [c278]Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao:
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations. BMVC 2021: 355 - [c277]Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao:
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation. CVPR 2021: 5475-5484 - [c276]Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao:
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net. CVPR 2021: 5881-5890 - [c275]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CVPR 2021: 6145-6154 - [c274]Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao:
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. CVPR 2021: 6985-6994 - [c273]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c272]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521 - [c271]Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Generalizable Pedestrian Detection: The Elephant in the Room. CVPR 2021: 11328-11337 - [c270]