default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShaogang Gong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j80]Weitong Cai
, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
MLLM as video narrator: Mitigating modality imbalance in video moment retrieval. Pattern Recognit. 166: 111670 (2025)- [c248]Jiayi Lin, Jiabo Huang, Jian Hu, Shaogang Gong:
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation. AAAI 2025: 5245-5253 - [c247]Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu:
Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval. AAAI 2025: 5847-5855 - [c246]Zengqun Zhao, Yu Cao, Shaogang Gong, Ioannis Patras:
Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer. WACV 2025: 815-824 - [i92]Jian Hu, Zixu Cheng, Shaogang Gong:
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation. CoRR abs/2501.18753 (2025) - [i91]Jian Hu, Zixu Cheng, Chenyang Si, Wei Li, Shaogang Gong:
CoS: Chain-of-Shot Prompting for Long Video Understanding. CoRR abs/2502.06428 (2025) - [i90]Xiaoyu Zheng, Xu Chen, Shaogang Gong, Xavier Griffin, Greg G. Slabaugh:
XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification. CoRR abs/2503.02619 (2025) - [i89]Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Ioannis Patras:
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data. CoRR abs/2503.05665 (2025) - [i88]Zixu Cheng, Jian Hu, Ziquan Liu, Chenyang Si, Wei Li, Shaogang Gong:
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning. CoRR abs/2503.11495 (2025) - [i87]Yu Cao, Zengqun Zhao, Ioannis Patras, Shaogang Gong:
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts. CoRR abs/2503.16218 (2025) - [i86]Ruiyang Ha, Songyi Jiang, Bin Li, Bikang Pan, Yihang Zhu, Junjie Zhang, Xiatian Zhu, Shaogang Gong, Jingya Wang:
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method. CoRR abs/2503.17096 (2025) - [i85]Dezhao Luo, Bohan Tang, Kang Li, Georgios Papoudakis, Jifei Song, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao:
ViMo: A Generative Visual GUI World Model for App Agent. CoRR abs/2504.13936 (2025) - [i84]Jian Hu, Dimitrios Korkinof, Shaogang Gong, Mariano Beguerisse-Díaz:
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting. CoRR abs/2504.15921 (2025) - 2024
- [j79]Guan'an Wang, Xiaowen Huang, Shaogang Gong, Jian Zhang, Wen Gao:
Faster Person Re-Identification: One-Shot-Filter and Coarse-to-Fine Search. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3013-3030 (2024) - [j78]Shitong Sun, Chenyang Si, Guile Wu, Shaogang Gong:
Federated zero-shot learning with mid-level semantic knowledge transfer. Pattern Recognit. 156: 110824 (2024) - [c245]Jian Hu, Jiayi Lin, Shaogang Gong, Weitong Cai:
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects. AAAI 2024: 12511-12518 - [c244]Yu Cao, Shaogang Gong:
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion. ECCV (84) 2024: 20-37 - [c243]Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong:
SHINE: Saliency-Aware Hierarchical Negative Ranking for Compositional Temporal Grounding. ECCV (19) 2024: 398-416 - [c242]Qilei Li, Jiabo Huang, Jian Hu, Shaogang Gong:
Feature-Distribution Perturbation and Calibration for Generalized Reid. ICASSP 2024: 2880-2884 - [c241]Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong:
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. NeurIPS 2024 - [c240]Qilei Li, Shaogang Gong:
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID. WACV 2024: 393-402 - [c239]Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models. WACV 2024: 5452-5461 - [i83]Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu:
Generative Video Diffusion for Unseen Cross-Domain Video Moment Retrieval. CoRR abs/2401.13329 (2024) - [i82]Zengqun Zhao, Yu Cao, Shaogang Gong, Ioannis Patras:
Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer. CoRR abs/2405.19100 (2024) - [i81]Weitong Cai, Jiabo Huang, Shaogang Gong:
Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels. CoRR abs/2406.01791 (2024) - [i80]Weitong Cai, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
MLLM as Video Narrator: Mitigating Modality Imbalance in Video Moment Retrieval. CoRR abs/2406.17880 (2024) - [i79]Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong:
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding. CoRR abs/2407.05118 (2024) - [i78]Yu Cao, Shaogang Gong:
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion. CoRR abs/2407.07249 (2024) - [i77]Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong:
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. CoRR abs/2408.15205 (2024) - [i76]Jiayi Lin, Jiabo Huang, Jian Hu, Shaogang Gong:
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation. CoRR abs/2410.11473 (2024) - 2023
- [j77]Qingze Yin, Guan'an Wang, Guodong Ding, Qilei Li, Shaogang Gong, Zhenmin Tang:
Rapid Person Re-Identification via Sub-space Consistency Regularization. Neural Process. Lett. 55(3): 3149-3168 (2023) - [j76]Wei Li, Shaogang Gong, Xiatian Zhu:
Neural operator search. Pattern Recognit. 136: 109215 (2023) - [c238]Minghang Zheng, Shaogang Gong, Hailin Jin, Yuxin Peng, Yang Liu:
Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization. ACL (1) 2023: 14197-14209 - [c237]Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training. CVPR 2023: 23045-23055 - [i75]Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training. CoRR abs/2303.00040 (2023) - [i74]Jiayi Lin, Shaogang Gong:
GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning. CoRR abs/2303.09252 (2023) - [i73]Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models. CoRR abs/2309.00661 (2023) - [i72]Qilei Li, Shaogang Gong:
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID. CoRR abs/2310.15913 (2023) - [i71]Shitong Sun, Jindong Gu, Shaogang Gong:
Benchmarking Robustness of Text-Image Composed Retrieval. CoRR abs/2311.14837 (2023) - [i70]Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong:
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects. CoRR abs/2312.07374 (2023) - [i69]Shitong Sun, Fanghua Ye, Shaogang Gong:
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking. CoRR abs/2312.08924 (2023) - 2022
- [j75]Wei-Shi Zheng, Jincheng Hong, Jiening Jiao, Ancong Wu, Xiatian Zhu, Shaogang Gong, Jiayin Qin, Jianhuang Lai:
Joint Bilateral-Resolution Identity Modeling for Cross-Resolution Person Re-Identification. Int. J. Comput. Vis. 130(1): 136-156 (2022) - [j74]Guile Wu, Xiatian Zhu, Shaogang Gong:
Learning hybrid ranking representation for person re-identification. Pattern Recognit. 121: 108239 (2022) - [j73]Xu Lan, Xiatian Zhu, Shaogang Gong:
Unsupervised cross-domain person re-identification by instance and distribution alignment. Pattern Recognit. 124: 108514 (2022) - [c236]Ke Han, Yan Huang, Shaogang Gong, Liang Wang, Tieniu Tan:
3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-identification. ACCV (5) 2022: 71-88 - [c235]Jiabo Huang, Shaogang Gong:
Deep Clustering by Semantic Contrastive Learning. BMVC 2022: 39 - [c234]Weitong Cai, Jiabo Huang, Shaogang Gong:
Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels. BMVC 2022: 231 - [c233]Pan Li, Shaogang Gong, Chengjie Wang, Yanwei Fu:
Ranking Distance Calibration for Cross-Domain Few-Shot Learning. CVPR 2022: 9089-9098 - [c232]Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan:
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. ECCV (31) 2022: 223-241 - [c231]Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu:
Video Activity Localisation with Uncertainties in Temporal Boundary. ECCV (34) 2022: 724-740 - [i68]Pan Li, Yanwei Fu, Shaogang Gong:
A Framework of Meta Functional Learning for Regularising Knowledge Transfer. CoRR abs/2203.14840 (2022) - [i67]Qilei Li, Jiabo Huang, Jian Hu, Shaogang Gong:
Feature-Distribution Perturbation and Calibration for Generalized Person ReID. CoRR abs/2205.11197 (2022) - [i66]Jian Hu, Haowen Zhong, Junchi Yan, Shaogang Gong, Guile Wu, Fei Yang:
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. CoRR abs/2206.01319 (2022) - [i65]Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu:
Video Activity Localisation with Uncertainties in Temporal Boundary. CoRR abs/2206.12923 (2022) - [i64]Qingze Yin, Guan'an Wang, Guodong Ding, Qilei Li, Shaogang Gong, Zhenmin Tang:
Rapid Person Re-Identification via Sub-space Consistency Regularization. CoRR abs/2207.05933 (2022) - [i63]Shitong Sun, Chenyang Si, Shaogang Gong, Guile Wu:
Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer. CoRR abs/2208.13465 (2022) - 2021
- [j72]Hang Su, Shaogang Gong, Xiatian Zhu:
Multi-perspective cross-class domain adaptation for open logo detection. Comput. Vis. Image Underst. 204: 103156 (2021) - [j71]Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification. Int. J. Comput. Vis. 129(5): 1580-1595 (2021) - [j70]Wei Li, Shaogang Gong, Xiatian Zhu:
Hierarchical distillation learning for scalable person search. Pattern Recognit. 114: 107862 (2021) - [j69]Qingze Yin, Guan'an Wang, Guodong Ding, Shaogang Gong, Zhenmin Tang:
Multi-View Label Prediction for Unsupervised Learning Person Re-Identification. IEEE Signal Process. Lett. 28: 1390-1394 (2021) - [j68]Paolo Spagnolo, Hamid Aghajan, George Bebis, Shaogang Gong, Amy Loutfi, Leonid Sigal, Wei-Shi Zheng:
Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks: Architectures and Applications. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1249-1252 (2021) - [c230]Guile Wu, Shaogang Gong:
Generalising without Forgetting for Lifelong Person Re-Identification. AAAI 2021: 2889-2897 - [c229]Guile Wu, Shaogang Gong:
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification. AAAI 2021: 2898-2906 - [c228]Guile Wu, Shaogang Gong:
Peer Collaborative Learning for Online Knowledge Distillation. AAAI 2021: 10302-10310 - [c227]Qilei Li, Jiabo Huang, Shaogang Gong:
Local-Global Associative Frame Assemble in Video Re-ID. BMVC 2021: 342 - [c226]Shitong Sun, Guile Wu, Shaogang Gong:
Decentralised Person Re-Identification with Selective Knowledge Aggregation. BMVC 2021: 384 - [c225]Guile Wu, Shaogang Gong, Pan Li:
Striking a Balance between Stability and Plasticity for Class-Incremental Learning. ICCV 2021: 1104-1113 - [c224]Guile Wu, Shaogang Gong:
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation. ICCV 2021: 6464-6473 - [c223]Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin:
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation. ICCV 2021: 7179-7188 - [c222]Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales:
A Simple Feature Augmentation for Domain Generalization. ICCV 2021: 8866-8875 - [c221]Pan Li, Guile Wu, Shaogang Gong, Xu Lan:
Semi-Supervised Few-Shot Learning with Pseudo Label Refinement. ICME 2021: 1-6 - [c220]Pan Li, Yanwei Fu, Shaogang Gong:
Regularising Knowledge Transfer by Meta Functional Learning. IJCAI 2021: 2687-2693 - [i62]Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Noisy Tracklet Person Re-identification. CoRR abs/2101.06391 (2021) - [i61]Jiabo Huang, Shaogang Gong:
Deep Clustering by Semantic Contrastive Learning. CoRR abs/2103.02662 (2021) - [i60]Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin:
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation. CoRR abs/2107.11443 (2021) - [i59]Shitong Sun, Guile Wu, Shaogang Gong:
Decentralised Person Re-Identification with Selective Knowledge Aggregation. CoRR abs/2110.11384 (2021) - [i58]Qilei Li, Jiabo Huang, Shaogang Gong:
Local-Global Associative Frame Assemble in Video Re-ID. CoRR abs/2110.12018 (2021) - [i57]Pan Li, Shaogang Gong, Yanwei Fu, Chengjie Wang:
Ranking Distance Calibration for Cross-Domain Few-Shot Learning. CoRR abs/2112.00260 (2021) - 2020
- [j67]Wei Li, Xiatian Zhu, Shaogang Gong:
Scalable Person Re-Identification by Harmonious Attention. Int. J. Comput. Vis. 128(6): 1635-1653 (2020) - [j66]Ancong Wu, Wei-Shi Zheng, Shaogang Gong, Jianhuang Lai:
RGB-IR Person Re-identification by Cross-Modality Similarity Preservation. Int. J. Comput. Vis. 128(6): 1765-1785 (2020) - [j65]Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Tracklet Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1770-1782 (2020) - [j64]Hang Su, Shaogang Gong, Xiatian Zhu:
Scalable logo detection by self co-learning. Pattern Recognit. 97 (2020) - [j63]Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Face re-identification challenge: Are face recognition models good enough? Pattern Recognit. 107: 107422 (2020) - [c219]Yanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong:
Semi-Supervised Learning under Class Distribution Mismatch. AAAI 2020: 3569-3576 - [c218]Wei Li, Shaogang Gong, Xiatian Zhu:
Neural Graph Embedding for Neural Architecture Search. AAAI 2020: 4707-4714 - [c217]Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu:
Unsupervised Deep Learning via Affinity Diffusion. AAAI 2020: 11029-11036 - [c216]Guile Wu, Xiatian Zhu, Shaogang Gong:
Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification. AAAI 2020: 12362-12369 - [c215]Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu:
Inter-Task Association Critic for Cross-Resolution Person Re-Identification. CVPR 2020: 2602-2612 - [c214]Yanbei Chen, Shaogang Gong, Loris Bazzani:
Image Search With Text Feedback by Visiolinguistic Attention Learning. CVPR 2020: 2998-3008 - [c213]Jiabo Huang, Shaogang Gong, Xiatian Zhu:
Deep Semantic Clustering by Partition Confidence Maximisation. CVPR 2020: 8846-8855 - [c212]Guan'an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou:
Faster Person Re-identification. ECCV (8) 2020: 275-292 - [c211]Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Characteristic Regularisation for Super-Resolving Face Images. WACV 2020: 2424-2433 - [i56]Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification. CoRR abs/2002.05046 (2020) - [i55]Guile Wu, Shaogang Gong:
Peer Collaborative Learning for Online Knowledge Distillation. CoRR abs/2006.04147 (2020) - [i54]Guile Wu, Shaogang Gong:
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification. CoRR abs/2006.04150 (2020) - [i53]Jiabo Huang, Shaogang Gong:
Unsupervised Transfer Learning with Self-Supervised Remedy. CoRR abs/2006.04737 (2020) - [i52]Alexander Hudson, Shaogang Gong:
Transfer Learning for Protein Structure Classification at Low Resolution. CoRR abs/2008.04757 (2020) - [i51]Guan'an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou:
Faster Person Re-Identification. CoRR abs/2008.06826 (2020)
2010 – 2019
- 2019
- [j62]Qi Dong, Shaogang Gong, Xiatian Zhu:
Imbalanced Deep Learning by Minority Class Incremental Rectification. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1367-1381 (2019) - [c210]Qi Dong, Xiatian Zhu, Shaogang Gong:
Single-Label Multi-Class Image Classification by Deep Logistic Regression. AAAI 2019: 3486-3493 - [c209]Guile Wu, Xiatian Zhu, Shaogang Gong:
Spatio-Temporal Associative Representation for Video Person Re-Identification. BMVC 2019: 278 - [c208]Aytaç Kanaci, Minxian Li, Shaogang Gong, Georgia Rajamanoharan:
Multi-Task Mutual Learning for Vehicle Re-Identification. CVPR Workshops 2019: 62-70 - [c207]Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai:
Unsupervised Person Re-Identification by Soft Multilabel Learning. CVPR 2019: 2148-2157 - [c206]Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification. ICCV 2019: 232-242 - [c205]Qi Dong, Xiatian Zhu, Shaogang Gong:
Person Search by Text Attribute Query As Zero-Shot Learning. ICCV 2019: 3651-3660 - [c204]Zimo Liu, Jingya Wang, Shaogang Gong, Dacheng Tao, Huchuan Lu:
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification. ICCV 2019: 6121-6130 - [c203]Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification: A New Benchmark. ICCV Workshops 2019: 1079-1087 - [c202]Guile Wu, Xiatian Zhu, Shaogang Gong:
Person Re-Identification by Ranking Ensemble Representations. ICIP 2019: 2259-2263 - [c201]Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu:
Unsupervised Deep Learning by Neighbourhood Discovery. ICML 2019: 2849-2858 - [c200]Hangyu Lin, Yanwei Fu, Peng Lu, Shaogang Gong, Xiangyang Xue, Yu-Gang Jiang:
TC-Net for iSBIR: Triplet Classification Network for Instance-level Sketch Based Image Retrieval. ACM Multimedia 2019: 1676-1684 - [i50]Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Tracklet Person Re-Identification. CoRR abs/1903.00535 (2019) - [i49]Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai:
Unsupervised Person Re-identification by Soft Multilabel Learning. CoRR abs/1903.06325 (2019) - [i48]Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu:
Unsupervised Deep Learning by Neighbourhood Discovery. CoRR abs/1904.11567 (2019) - [i47]Xu Lan, Xiatian Zhu, Shaogang Gong:
Universal Person Re-Identification. CoRR abs/1907.09511 (2019) - [i46]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. CoRR abs/1908.05877 (2019) - [i45]Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification: A New Benchmark. CoRR abs/1908.10344 (2019) - [i44]Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Characteristic Regularisation for Super-Resolving Face Images. CoRR abs/1912.12987 (2019) - 2018
- [j61]Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang:
Person Re-identification in Identity Regression Space. Int. J. Comput. Vis. 126(12): 1288-1310 (2018) - [j60]Zhenyong Fu, Tao Xiang, Elyor Kodirov, Shaogang Gong:
Zero-Shot Learning on Semantic Class Prototype Graph. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2009-2022 (2018) - [j59]Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong:
Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content. IEEE Signal Process. Mag. 35(1): 112-125 (2018) - [c199]Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong:
Deep Low-Resolution Person Re-Identification. AAAI 2018: 6967-6974 - [c198]Xu Lan, Xiatian Zhu, Shaogang Gong:
Self-Referenced Deep Learning. ACCV (2) 2018: 284-300 - [c197]Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Low-Resolution Face Recognition. ACCV (3) 2018: 605-621 - [c196]Hang Su, Xiatian Zhu, Shaogang Gong:
Open Logo Detection Challenge. BMVC 2018: 16 - [c195]Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Deep Association Learning for Unsupervised Video Person Re-identification. BMVC 2018: 48 - [c194]Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li:
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification. CVPR 2018: 2275-2284 - [c193]Wei Li, Xiatian Zhu, Shaogang Gong:
Harmonious Attention Network for Person Re-Identification. CVPR 2018: 2285-2294 - [c192]Aytaç Kanaci, Xiatian Zhu, Shaogang Gong:
Vehicle Re-identification in Context. GCPR 2018: 377-390 - [c191]Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Semi-supervised Deep Learning with Memory. ECCV (1) 2018: 275-291 - [c190]Xu Lan, Xiatian Zhu, Shaogang Gong:
Person Search by Multi-Scale Matching. ECCV (1) 2018: 553-569 - [c189]Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Person Re-identification by Deep Learning Tracklet Association. ECCV (4) 2018: 772-788 - [c188]Xu Lan, Xiatian Zhu, Shaogang Gong:
Knowledge Distillation by On-the-Fly Native Ensemble. NeurIPS 2018: 7528-7538 - [i43]Wei Li, Xiatian Zhu, Shaogang Gong:
Harmonious Attention Network for Person Re-Identification. CoRR abs/1802.08122 (2018) - [i42]Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li:
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification. CoRR abs/1803.09786 (2018) - [i41]Hang Su, Shaogang Gong, Xiatian Zhu:
Scalable Deep Learning Logo Detection. CoRR abs/1803.11417 (2018) - [i40]Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Surveillance Face Recognition Challenge. CoRR abs/1804.09691 (2018) - [i39]Qi Dong, Shaogang Gong, Xiatian Zhu:
Imbalanced Deep Learning by Minority Class Incremental Rectification. CoRR abs/1804.10851 (2018) - [i38]Xu Lan, Xiatian Zhu, Shaogang Gong:
Knowledge Distillation by On-the-Fly Native Ensemble. CoRR abs/1806.04606 (2018) - [i37]Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang:
Person Re-Identification in Identity Regression Space. CoRR abs/1806.09695 (2018) - [i36]Hang Su, Xiatian Zhu, Shaogang Gong:
Open Logo Detection Challenge. CoRR abs/1807.01964 (2018) - [i35]Xu Lan, Xiatian Zhu, Shaogang Gong:
Person Search by Multi-Scale Matching. CoRR abs/1807.08582 (2018) - [i34]Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Deep Association Learning for Unsupervised Video Person Re-identification. CoRR abs/1808.07301 (2018) - [i33]Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Person Re-identification by Deep Learning Tracklet Association. CoRR abs/1809.02874 (2018) - [i32]Aytaç Kanaci, Xiatian Zhu, Shaogang Gong:
Vehicle Re-Identification in Context. CoRR abs/1809.09409 (2018) - [i31]Xu Lan, Xiatian Zhu, Shaogang Gong:
Self-Referenced Deep Learning. CoRR abs/1811.07598 (2018) - [i30]Qi Dong, Xiatian Zhu, Shaogang Gong:
Single-Label Multi-Class Image Classification by Deep Logistic Regression. CoRR abs/1811.08400 (2018) - [i29]Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Low-Resolution Face Recognition. CoRR abs/1811.08965 (2018) - 2017
- [j58]Jingya Wang, Xiatian Zhu, Shaogang Gong:
Discovering visual concept structure with sparse and incomplete tags. Artif. Intell. 250: 16-36 (2017) - [j57]Vittorio Murino, Shaogang Gong, Chen Change Loy, Loris Bazzani:
Image and Video Understanding in Big Data. Comput. Vis. Image Underst. 156: 1-3 (2017) - [j56]Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong:
Free-Hand Sketch Synthesis with Deformable Stroke Models. Int. J. Comput. Vis. 122(1): 169-190 (2017) - [j55]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Transductive Zero-Shot Action Recognition by Word-Vector Embedding. Int. J. Comput. Vis. 123(3): 309-333 (2017) - [j54]Xiaolong Ma, Xiatian Zhu, Shaogang Gong, Xudong Xie, Jianming Hu, Kin-Man Lam, Yisheng Zhong:
Person re-identification by unsupervised video matching. Pattern Recognit. 65: 197-210 (2017) - [j53]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1353-1367 (2017) - [c187]Xu Lan, Hangxiao Wang, Shaogang Gong, Xiatian Zhu:
Deep Reinforcement Learning Attention Selection For Person Re-Identification. BMVC 2017 - [c186]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Deep Embedding Model for Zero-Shot Learning. CVPR 2017: 3010-3019 - [c185]Elyor Kodirov, Tao Xiang, Shaogang Gong:
Semantic Autoencoder for Zero-Shot Learning. CVPR 2017: 4447-4456 - [c184]Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li:
Attribute Recognition by Joint Recurrent Learning of Context and Correlation. ICCV 2017: 531-540 - [c183]Qi Dong, Shaogang Gong, Xiatian Zhu:
Class Rectification Hard Mining for Imbalanced Deep Learning. ICCV 2017: 1869-1878 - [c182]Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, Jianhuang Lai:
RGB-Infrared Cross-Modality Person Re-identification. ICCV 2017: 5390-5399 - [c181]Hang Su, Shaogang Gong, Xiatian Zhu:
WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web. ICCV Workshops 2017: 270-279 - [c180]Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Person Re-identification by Deep Learning Multi-scale Representations. ICCV Workshops 2017: 2590-2600 - [c179]Arne Schumann, Shaogang Gong, Tobias Schuchert:
Deep learning prototype domains for person re-identification. ICIP 2017: 1767-1771 - [c178]Wei Li, Xiatian Zhu, Shaogang Gong:
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification. IJCAI 2017: 2194-2200 - [c177]Qi Dong, Shaogang Gong, Xiatian Zhu:
Multi-task Curriculum Transfer Deep Learning of Clothing Attributes. WACV 2017: 520-529 - [c176]Hang Su, Xiatian Zhu, Shaogang Gong:
Deep Learning Logo Detection with Data Expansion by Synthesising Context. WACV 2017: 530-539 - [p9]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. Group and Crowd Behavior for Computer Vision 2017: 341-369 - [i28]Elyor Kodirov, Tao Xiang, Shaogang Gong:
Semantic Autoencoder for Zero-Shot Learning. CoRR abs/1704.08345 (2017) - [i27]Wei Li, Xiatian Zhu, Shaogang Gong:
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification. CoRR abs/1705.04724 (2017) - [i26]Jingya Wang, Xiatian Zhu, Shaogang Gong:
Discovering Visual Concept Structure with Sparse and Incomplete Tags. CoRR abs/1705.10659 (2017) - [i25]Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales:
Actor-Critic Sequence Training for Image Captioning. CoRR abs/1706.09601 (2017) - [i24]Xu Lan, Hanxiao Wang, Shaogang Gong, Xiatian Zhu:
Identity Alignment by Noisy Pixel Removal. CoRR abs/1707.02785 (2017) - [i23]Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li:
Attribute Recognition by Joint Recurrent Learning of Context and Correlation. CoRR abs/1709.08553 (2017) - [i22]Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong:
Recent Advances in Zero-shot Recognition. CoRR abs/1710.04837 (2017) - [i21]Qi Dong, Shaogang Gong, Xiatian Zhu:
Class Rectification Hard Mining for Imbalanced Deep Learning. CoRR abs/1712.03162 (2017) - 2016
- [j52]Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Learning from Multiple Sources for Video Summarisation. Int. J. Comput. Vis. 117(3): 247-268 (2016) - [j51]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 563-577 (2016) - [j50]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Towards Open-World Person Re-Identification by One-Shot Group-Based Verification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 591-606 (2016) - [j49]Taiqing Wang, Shaogang Gong, Xiatian Zhu, Shengjin Wang:
Person Re-Identification by Discriminative Selection in Video Ranking. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2501-2514 (2016) - [j48]Jianfang Hu, Wei-Shi Zheng, Jian-Huang Lai, Shaogang Gong, Tao Xiang:
Exemplar-Based Recognition of Human-Object Interactions. IEEE Trans. Circuits Syst. Video Technol. 26(4): 647-660 (2016) - [j47]Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Constrained Clustering With Imperfect Oracles. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1345-1357 (2016) - [c175]Jingya Wang, Xiatian Zhu, Shaogang Gong:
Video Semantic Clustering with Sparse and Incomplete Tags. AAAI 2016: 3618-3624 - [c174]Elyor Kodirov, Tao Xiang, Zhenyong Fu, Shaogang Gong:
Learning Robust Graph Regularisation for Subspace Clustering. BMVC 2016 - [c173]Hanxiao Wang, Shaogang Gong, Tao Xiang:
Highly Efficient Regression for Scalable Person Re-Identification. BMVC 2016 - [c172]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Discriminative Null Space for Person Re-identification. CVPR 2016: 1239-1248 - [c171]Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian:
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR 2016: 1306-1315 - [c170]Elyor Kodirov, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Person Re-Identification by Unsupervised \ell _1 ℓ 1 Graph Learning. ECCV (1) 2016: 178-195 - [c169]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. ECCV (2) 2016: 343-359 - [c168]Hanxiao Wang, Shaogang Gong, Xiatian Zhu, Tao Xiang:
Human-in-the-Loop Person Re-identification. ECCV (4) 2016: 405-422 - [c167]Hanxiao Wang, Xiatian Zhu, Tao Xiang, Shaogang Gong:
Towards unsupervised open-set person re-identification. ICIP 2016: 769-773 - [c166]Ioannis Alexiou, Tao Xiang, Shaogang Gong:
Exploring synonyms as context in zero-shot action recognition. ICIP 2016: 4190-4194 - [i20]Taiqing Wang, Shaogang Gong, Xiatian Zhu, Shengjin Wang:
Person Re-Identification by Discriminative Selection in Video Ranking. CoRR abs/1601.06260 (2016) - [i19]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Discriminative Null Space for Person Re-identification. CoRR abs/1603.02139 (2016) - [i18]Qi Dong, Shaogang Gong, Xiatian Zhu:
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes. CoRR abs/1610.03670 (2016) - [i17]Arne Schumann, Shaogang Gong, Tobias Schuchert:
Deep Learning Prototype Domains for Person Re-Identification. CoRR abs/1610.05047 (2016) - [i16]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Deep Embedding Model for Zero-Shot Learning. CoRR abs/1611.05088 (2016) - [i15]Xiaolong Ma, Xiatian Zhu, Shaogang Gong, Xudong Xie, Jianming Hu, Kin-Man Lam, Yisheng Zhong:
Person Re-Identification by Unsupervised Video Matching. CoRR abs/1611.08512 (2016) - [i14]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. CoRR abs/1611.08663 (2016) - [i13]Hanxiao Wang, Shaogang Gong, Tao Xiang:
Highly Efficient Regression for Scalable Person Re-Identification. CoRR abs/1612.01341 (2016) - [i12]Hanxiao Wang, Shaogang Gong, Xiatian Zhu, Tao Xiang:
Human-In-The-Loop Person Re-Identification. CoRR abs/1612.01345 (2016) - [i11]Hang Su, Xiatian Zhu, Shaogang Gong:
Deep Learning Logo Detection with Data Expansion by Synthesising Context. CoRR abs/1612.09322 (2016) - 2015
- [j46]Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong:
Free-hand sketch recognition by multi-kernel feature learning. Comput. Vis. Image Underst. 137: 1-11 (2015) - [j45]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-View Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2332-2345 (2015) - [c165]Elyor Kodirov, Tao Xiang, Shaogang Gong:
Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification. BMVC 2015: 44.1-44.12 - [c164]Zhen-Yong Fu, Tao A. Xiang, Elyor Kodirov, Shaogang Gong:
Zero-shot object recognition by semantic manifold distance. CVPR 2015: 2635-2644 - [c163]Elyor Kodirov, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Unsupervised Domain Adaptation for Zero-Shot Learning. ICCV 2015: 2452-2460 - [c162]Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xiang, Shaogang Gong:
Multi-Scale Learning for Low-Resolution Person Re-Identification. ICCV 2015: 3765-3773 - [c161]Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jian-Huang Lai, Shaogang Gong:
Partial Person Re-Identification. ICCV 2015: 4678-4686 - [c160]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Semantic embedding space for zero-shot action recognition. ICIP 2015: 63-67 - [c159]Ioannis Alexiou, Tao Xiang, Shaogang Gong:
Learning a joint discriminative-generative model for action recognition. IWSSIP 2015: 1-4 - [r2]Kui Jia, Shaogang Gong:
Face Sample Quality. Encyclopedia of Biometrics 2015: 522-526 - [i10]Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Multi-Source Video Summarisation. CoRR abs/1501.03069 (2015) - [i9]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-view Zero-Shot Learning. CoRR abs/1501.04560 (2015) - [i8]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. CoRR abs/1501.06202 (2015) - [i7]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Semantic Embedding Space for Zero-Shot Action Recognition. CoRR abs/1502.01540 (2015) - [i6]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-label Zero-shot Learning. CoRR abs/1503.07790 (2015) - [i5]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-class and Multi-label Zero-shot Learning. CoRR abs/1503.07884 (2015) - [i4]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization. CoRR abs/1507.07458 (2015) - [i3]Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong:
Free-hand Sketch Synthesis with Deformable Stroke Models. CoRR abs/1510.02644 (2015) - [i2]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Zero-Shot Action Recognition by Word-Vector Embedding. CoRR abs/1511.04458 (2015) - 2014
- [j44]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Learning Multimodal Latent Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 303-316 (2014) - [j43]Chunxiao Liu, Shaogang Gong, Chen Change Loy:
On-the-fly feature importance mining for person re-identification. Pattern Recognit. 47(4): 1602-1615 (2014) - [c158]Brais Cancela, Timothy M. Hospedales, Shaogang Gong:
Open-world Person Re-Identification by Multi-Label Assignment Inference. BMVC 2014 - [c157]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-label Zero-shot Learning. BMVC 2014 - [c156]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Re-id: Hunting Attributes in the Wild. BMVC 2014 - [c155]Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong:
Intra-category sketch-based image retrieval by matching deformable part models. BMVC 2014 - [c154]Hanxiao Wang, Shaogang Gong, Tao Xiang:
Unsupervised Learning of Generative Topic Saliency for Person Re-identification. BMVC 2014 - [c153]Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Constructing Robust Affinity Graphs for Spectral Clustering. CVPR 2014: 1450-1457 - [c152]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Investigating Open-World Person Re-identification Using a Drone. ECCV Workshops (3) 2014: 225-240 - [c151]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao:
Interestingness Prediction by Robust Learning to Rank. ECCV (2) 2014: 488-503 - [c150]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. ECCV (2) 2014: 584-599 - [c149]Taiqing Wang, Shaogang Gong, Xiatian Zhu, Shengjin Wang:
Person Re-identification by Video Ranking. ECCV (4) 2014: 688-703 - [p8]Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales:
The Re-identification Challenge. Person Re-Identification 2014: 1-20 - [p7]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Attributes-Based Re-identification. Person Re-Identification 2014: 93-117 - [p6]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Group Association: Assisting Re-identification by Visual Context. Person Re-Identification 2014: 183-201 - [p5]Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xinggang Lin:
Evaluating Feature Importance for Re-identification. Person Re-Identification 2014: 203-228 - [p4]Yogesh Raja, Shaogang Gong:
Scalable Multi-camera Tracking in a Metropolis. Person Re-Identification 2014: 413-438 - [e4]Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy:
Person Re-Identification. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6295-7 [contents] - [i1]Zhen-Yong Fu, Tao Xiang, Shaogang Gong:
Semantic Graph for Zero-Shot Learning. CoRR abs/1406.4112 (2014) - 2013
- [j42]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Reidentification by Relative Distance Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 653-668 (2013) - [j41]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Trans. Knowl. Data Eng. 25(2): 374-386 (2013) - [c148]Yi Li, Yi-Zhe Song, Shaogang Gong:
Sketch Recognition by Ensemble Matching of Structured Features. BMVC 2013 - [c147]Ke Chen, Shaogang Gong, Tao Xiang, Chen Change Loy:
Cumulative Attribute Space for Age and Crowd Density Estimation. CVPR 2013: 2467-2474 - [c146]Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Video Synopsis by Heterogeneous Multi-source Correlation. ICCV 2013: 81-88 - [c145]Chunxiao Liu, Chen Change Loy, Shaogang Gong, Guijin Wang:
POP: Person Re-identification Post-rank Optimisation. ICCV 2013: 441-448 - [c144]Chen Change Loy, Shaogang Gong, Tao Xiang:
From Semi-supervised to Transfer Counting of Crowds. ICCV 2013: 2256-2263 - [c143]Jianfang Hu, Wei-Shi Zheng, Jian-Huang Lai, Shaogang Gong, Tao Xiang:
Recognising Human-Object Interaction via Exemplar Based Modelling. ICCV 2013: 3144-3151 - [c142]Xiatian Zhu, Chen Change Loy, Shaogang Gong:
Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles. ICDM 2013: 1307-1312 - [c141]Chen Change Loy, Chunxiao Liu, Shaogang Gong:
Person re-identification by manifold ranking. ICIP 2013: 3567-3571 - [c140]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Domain transfer for person re-identification. ARTEMIS@ACM Multimedia 2013: 25-32 - [c139]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Cross-domain traffic scene understanding by motion model transfer. ARTEMIS@ACM Multimedia 2013: 77-86 - [p3]Chen Change Loy, Ke Chen, Shaogang Gong, Tao Xiang:
Crowd Counting and Profiling: Methodology and Evaluation. Modeling, Simulation and Visual Analysis of Crowds 2013: 347-382 - 2012
- [j40]Jian Li, Shaogang Gong, Tao Xiang:
Learning Behavioural Context. Int. J. Comput. Vis. 97(3): 276-304 (2012) - [j39]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Video Behaviour Mining Using a Dynamic Topic Model. Int. J. Comput. Vis. 98(3): 303-323 (2012) - [j38]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Quantifying and Transferring Contextual Information in Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 762-777 (2012) - [j37]Chen Change Loy, Tao Xiang, Shaogang Gong:
Incremental Activity Modeling in Multiple Disjoint Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1799-1813 (2012) - [j36]Matteo Bregonzio, Tao Xiang, Shaogang Gong:
Fusing appearance and distribution information of interest points for action recognition. Pattern Recognit. 45(3): 1220-1234 (2012) - [c138]Ke Chen, Chen Change Loy, Shaogang Gong, Tony Xiang:
Feature Mining for Localised Crowd Counting. BMVC 2012: 1-11 - [c137]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Person Re-identification by Attributes. BMVC 2012: 1-11 - [c136]Xiatian Zhu, Shaogang Gong, Chen Change Loy:
Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies. BMVC 2012: 1-12 - [c135]Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Stream-based joint exploration-exploitation active learning. CVPR 2012: 1560-1567 - [c134]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Transfer re-identification: From person to set-based verification. CVPR 2012: 2650-2657 - [c133]Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xinggang Lin:
Person Re-identification: What Features Are Important? ECCV Workshops (1) 2012: 391-401 - [c132]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Towards Person Identification and Re-identification with Attributes. ECCV Workshops (1) 2012: 402-412 - [c131]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Unifying Theory of Active Discovery and Learning. ECCV (5) 2012: 453-466 - [c130]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Attribute Learning for Understanding Unstructured Social Activity. ECCV (4) 2012: 530-543 - [c129]Chen Change Loy, Tao Xiang, Shaogang Gong:
Salient motion detection in crowded scenes. ISCCSP 2012: 1-4 - [e3]Caifeng Shan, Fatih Porikli, Tao Xiang, Shaogang Gong:
Video Analytics for Business Intelligence. Studies in Computational Intelligence 409, Springer 2012, ISBN 978-3-642-28597-4 [contents] - 2011
- [b2]Shaogang Gong, Tao Xiang:
Visual Analysis of Behaviour - From Pixels to Semantics. Springer 2011, ISBN 978-0-85729-669-6, pp. I-XIX, 1-356 - [j35]Timothy M. Hospedales, Jian Li, Shaogang Gong, Tao Xiang:
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2451-2464 (2011) - [j34]Chen Change Loy, Tao Xiang, Shaogang Gong:
Detecting and discriminating behavioural anomalies. Pattern Recognit. 44(1): 117-132 (2011) - [c128]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Person re-identification by probabilistic relative distance comparison. CVPR 2011: 649-656 - [c127]Ke Chen, Shaogang Gong, Tao Xiang:
Human pose estimation using structural support vector machines. ICCV Workshops 2011: 846-851 - [c126]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Tags from Unsegmented Videos of Multiple Human Actions. ICDM 2011: 251-259 - [c125]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. PAKDD (2) 2011: 296-308 - [p2]Shaogang Gong, Chen Change Loy, Tao Xiang:
Security and Surveillance. Visual Analysis of Humans 2011: 455-472 - [p1]Jianguo Zhang, Shaogang Gong:
Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes. Intelligent Video Event Analysis and Understanding 2011: 111-124 - 2010
- [j33]Jianguo Zhang, Shaogang Gong:
Action categorization by structural probabilistic latent semantic analysis. Comput. Vis. Image Underst. 114(8): 857-864 (2010) - [j32]Chen Change Loy, Tao Xiang, Shaogang Gong:
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding. Int. J. Comput. Vis. 90(1): 106-129 (2010) - [j31]Jianguo Zhang, Shaogang Gong:
Action categorization with modified hidden conditional random field. Pattern Recognit. 43(1): 197-203 (2010) - [j30]Khalid Bashir, Tao Xiang, Shaogang Gong:
Gait recognition without subject cooperation. Pattern Recognit. Lett. 31(13): 2052-2060 (2010) - [c124]Chen Change Loy, Tao Xiang, Shaogang Gong:
Stream-Based Active Unusual Event Detection. ACCV (1) 2010: 161-175 - [c123]Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Rare Behaviours. ACCV (2) 2010: 293-307 - [c122]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Unsupervised Selective Transfer Learning for Object Recognition. ACCV (2) 2010: 527-541 - [c121]Khalid Bashir, Tao Xiang, Shaogang Gong:
Cross View Gait Recognition Using Correlation Strength. BMVC 2010: 1-11 - [c120]Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xiang:
Discriminative Topics Modelling for Action Feature Selection and Recognition. BMVC 2010: 1-11 - [c119]Bryan James Prosser, Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Person Re-Identification by Support Vector Ranking. BMVC 2010: 1-11 - [c118]Shaogang Gong, Tao Xiang, Somboon Hongeng:
Learning human pose in crowd. MPVA@MM 2010: 47-52
2000 – 2009
- 2009
- [j29]Jianguo Zhang, Shaogang Gong:
People detection in low-resolution video with non-stationary background. Image Vis. Comput. 27(4): 437-443 (2009) - [j28]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Facial expression recognition based on Local Binary Patterns: A comprehensive study. Image Vis. Comput. 27(6): 803-816 (2009) - [j27]Yong Wang, Tao Mei, Shaogang Gong, Xian-Sheng Hua:
Combining global, regional and contextual features for automatic image annotation. Pattern Recognit. 42(2): 259-266 (2009) - [c117]Samuel Pachoud, Shaogang Gong, Andrea Cavallaro:
Space-time audio-visual speech recognition with multiple multi-class probabilistic support vector machines. AVSP 2009: 155-160 - [c116]Khalid Bashir, Tao Xiang, Shaogang Gong:
Gait Representation Using Flow Fields. BMVC 2009: 1-11 - [c115]Chen Change Loy, Tao Xiang, Shaogang Gong:
Modelling Multi-object Activity by Gaussian Processes. BMVC 2009: 1-11 - [c114]Javier Orozco, Shaogang Gong, Tao Xiang:
Head Pose Classification in Crowded Scenes. BMVC 2009: 1-11 - [c113]Emanuel Zelniker, Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Unified Bayesian Framework for Adaptive Visual Tracking. BMVC 2009: 1-11 - [c112]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Associating Groups of People. BMVC 2009: 1-11 - [c111]Matteo Bregonzio, Shaogang Gong, Tao Xiang:
Recognising action as clouds of space-time interest points. CVPR 2009: 1948-1955 - [c110]Chen Change Loy, Tao Xiang, Shaogang Gong:
Multi-camera activity correlation analysis. CVPR 2009: 1988-1995 - [c109]Chen Change Loy, Tao Xiang, Shaogang Gong:
Modelling activity global temporal dependencies using Time Delayed Probabilistic Graphical Model. ICCV 2009: 120-127 - [c108]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Quantifying contextual information for object detection. ICCV 2009: 932-939 - [c107]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Markov Clustering Topic Model for mining behaviour in video. ICCV 2009: 1165-1172 - [c106]Jian Li, Shaogang Gong, Tao Xiang:
On-the-fly global activity prediction and anomaly detection. ICCV Workshops 2009: 1330-1337 - [c105]Khalid Bashir, Tao Xiang, Shaogang Gong:
Gait recognition using Gait Entropy Image. ICDP 2009: 1-6 - [c104]Matteo Bregonzio, Shaogang Gong, Tao Xiang:
Action recognition with cascaded feature selection and classification. ICDP 2009: 1-6 - [r1]Kui Jia, Shaogang Gong:
Face Sample Quality. Encyclopedia of Biometrics 2009: 373-376 - 2008
- [j26]Tao Xiang, Shaogang Gong:
Incremental and adaptive abnormal behaviour detection. Comput. Vis. Image Underst. 111(1): 59-73 (2008) - [j25]Tao Xiang, Shaogang Gong:
Optimising dynamic graphical models for video content analysis. Comput. Vis. Image Underst. 112(3): 310-323 (2008) - [j24]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Fusing gait and face cues for human gender recognition. Neurocomputing 71(10-12): 1931-1938 (2008) - [j23]Tao Xiang, Shaogang Gong:
Video Behavior Profiling for Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 893-908 (2008) - [j22]Tao Xiang, Shaogang Gong:
Spectral clustering with eigenvector selection. Pattern Recognit. 41(3): 1012-1029 (2008) - [j21]Tao Xiang, Shaogang Gong:
Activity based surveillance video content modelling. Pattern Recognit. 41(7): 2309-2326 (2008) - [j20]Kui Jia, Shaogang Gong:
Generalized Face Super-Resolution. IEEE Trans. Image Process. 17(6): 873-886 (2008) - [c103]Khalid Bashir, Tao Xiang, Shaogang Gong:
Feature Selection for Gait Recognition without Subject Cooperation. BMVC 2008: 1-10 - [c102]Jian Li, Shaogang Gong, Tao Xiang:
Global Behaviour Inference using Probabilistic Latent Semantic Analysis. BMVC 2008: 1-10 - [c101]Samuel Pachoud, Shaogang Gong, Andrea Cavallaro:
Video Augmentation for Improving Audio Speech Recognition under Noise. BMVC 2008: 1-10 - [c100]Bryan James Prosser, Shaogang Gong, Tao Xiang:
Multi-camera Matching using Bi-Directional Cumulative Brightness Transfer Functions. BMVC 2008: 1-10 - [c99]David Mark Russell, Shaogang Gong:
Exploiting Periodicity in Recurrent Scenes. BMVC 2008: 1-10 - [c98]Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong, Shipeng Li:
Coherent image annotation by learning semantic distance. CVPR 2008 - [c97]Samuel Pachoud, Shaogang Gong, Andrea Cavallaro:
Macro-cuboïd based probabilistic matching for lip-reading digits. CVPR 2008 - [c96]Jian Li, Shaogang Gong, Tao Xiang:
Scene Segmentation for Behaviour Correlation. ECCV (4) 2008: 383-395 - [c95]David Mark Russell, Shaogang Gong:
Multi-layered Decomposition of Recurrent Scenes. ECCV (3) 2008: 574-587 - [c94]Khalid Bashir, Tao Xiang, Shaogang Gong:
Feature selection on Gait Energy Image for human identification. ICASSP 2008: 985-988 - 2007
- [c93]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Learning gender from human gaits and faces. AVSS 2007: 505-510 - [c92]David Mark Russell, Shaogang Gong:
Segmenting Highly Textured Nonstationary Background. BMVC 2007: 1-10 - [c91]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Beyond Facial Expressions: Learning Human Emotion from Body Gestures. BMVC 2007: 1-10 - [c90]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Capturing Correlations Among Facial Parts for Facial Expression Analysis. BMVC 2007: 1-10 - [c89]Yong Wang, Shaogang Gong:
Conditional Random Field for Natural Scene Categorization. BMVC 2007: 1-10 - [c88]Yong Wang, Shaogang Gong:
Translating topics to words for image annotation. CIKM 2007: 995-998 - [c87]Yong Wang, Shaogang Gong:
Refining image annotation using contextual relations between words. CIVR 2007: 425-432 - [c86]Alex Po Leung, Shaogang Gong:
Optimizing Distribution-based Matching by Random Subsampling. CVPR 2007 - [c85]Shaogang Gong, Caifeng Shan, Tao Xiang:
Visual inference of human emotion and behaviour. ICMI 2007: 22-29 - [e2]Shaohua Kevin Zhou, Wenyi Zhao, Xiaoou Tang, Shaogang Gong:
Analysis and Modeling of Faces and Gestures, Third International Workshop, AMFG 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings. Lecture Notes in Computer Science 4778, Springer 2007, ISBN 978-3-540-75689-7 [contents] - 2006
- [j19]Tao Xiang, Shaogang Gong:
Beyond Tracking: Modelling Activity and Understanding Behaviour. Int. J. Comput. Vis. 67(1): 21-51 (2006) - [j18]Tao Xiang, Shaogang Gong:
Model Selection for Unsupervised Learning of Visual Context. Int. J. Comput. Vis. 69(2): 181-201 (2006) - [j17]Kui Jia, Shaogang Gong:
Hallucinating multiple occluded face images of different resolutions. Pattern Recognit. Lett. 27(15): 1768-1775 (2006) - [c84]Tao Xiang, Shaogang Gong:
Optimal Dynamic Graphs for Video Content Analysis. BMVC 2006: 177-186 - [c83]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Dynamic Facial Expression Recognition Using A Bayesian Temporal Manifold Model. BMVC 2006: 297-306 - [c82]Kui Jia, Shaogang Gong, Alex Po Leung:
Coupling Face Registration and Super-Resolution. BMVC 2006: 449-458 - [c81]Alex Po Leung, Shaogang Gong:
Mean-Shift Tracking with Random Sampling. BMVC 2006: 729-738 - [c80]Yogesh Raja, Shaogang Gong:
Sparse Multiscale Local Binary Patterns. BMVC 2006: 799-808 - [c79]David Mark Russell, Shaogang Gong:
Minimum Cuts of A Time-Varying Background. BMVC 2006: 809-818 - [c78]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
A Comprehensive Empirical Study on Linear Subspace Methods for Facial Expression Analysis. CVPR Workshops 2006: 153 - [c77]Kui Jia, Shaogang Gong:
Multi-Resolution Patch Tensor for Facial Expression Hallucination. CVPR (1) 2006: 395-402 - [c76]Yong Wang, Shaogang Gong:
Tensor Discriminant Analysis for View-based Object Recognition. ICPR (3) 2006: 33-36 - 2005
- [c75]Alex Po Leung, Shaogang Gong:
Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking. AMFG 2005: 184-197 - [c74]Tao Xiang, Shaogang Gong:
Relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling. AVSS 2005: 28-33 - [c73]Hayley Shi-Wen Hung, Shaogang Gong:
Detecting and quantifying unusual interactions by correlating salient motion. AVSS 2005: 46-51 - [c72]Kui Jia, Shaogang Gong:
Multi-modal face image super-resolutions in tensor space. AVSS 2005: 264-269 - [c71]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Recognizing facial expressions at low resolution. AVSS 2005: 330-335 - [c70]David Mark Russell, Shaogang Gong:
A highly efficient block-based dynamic background model. AVSS 2005: 417-422 - [c69]Kui Jia, Shaogang Gong:
Face super-resolution using multiple occluded images of different resolutions. AVSS 2005: 614-619 - [c68]Kui Jia, Shaogang Gong:
Multi-Modal Face Image Super-Resolutions in Tensor Space. BMVC 2005 - [c67]Alex Po Leung, Shaogang Gong:
An Optimization Framework for Real-Time Appearance-Based Tracking under Weak Perspective. BMVC 2005 - [c66]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Conditional Mutual Infomation Based Boosting for Facial Expression Recognition. BMVC 2005 - [c65]Tao Xiang, Shaogang Gong:
Online Video Behaviour Abnormality Detection Using Reliability Measure. BMVC 2005 - [c64]Lukasz Zalewski, Shaogang Gong:
2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation. CVPR (2) 2005: 217-222 - [c63]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Appearance Manifold of Facial Expression. ICCV-HCI 2005: 221-230 - [c62]Tao Xiang, Shaogang Gong:
Visual Learning Given Sparse Data of Unknown Complexity. ICCV 2005: 701-708 - [c61]Tao Xiang, Shaogang Gong:
Video Behaviour Profiling and Abnormality Detection without Manual Labelling. ICCV 2005: 1238-1245 - [c60]Kui Jia, Shaogang Gong:
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition. ICCV 2005: 1683-1690 - [c59]Caifeng Shan, Shaogang Gong, Peter W. McOwan:
Robust facial expression recognition using local binary patterns. ICIP (2) 2005: 370-373 - [e1]Wenyi Zhao, Shaogang Gong, Xiaoou Tang:
Analysis and Modelling of Faces and Gestures, Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings. Lecture Notes in Computer Science 3723, Springer 2005, ISBN 3-540-29229-2 [contents] - 2004
- [j16]Yongmin Li, Shaogang Gong, Jamie Sherrah, Heather M. Liddell:
Support vector machine based multi-view face detection and recognition. Image Vis. Comput. 22(5): 413-427 (2004) - [c58]Andrew Graves, Shaogang Gong:
Wavelet-based holistic sequence descriptor for generating video summaries. BMVC 2004: 1-10 - [c57]Hayley Shi-Wen Hung, Shaogang Gong:
Quantifying Temporal Saliency. BMVC 2004: 1-10 - [c56]Tao Xiang, Shaogang Gong:
Activity Based Video Content Trajectory Representation and Segmentation. BMVC 2004: 1-10 - [c55]Lukasz Zalewski, Shaogang Gong:
Synthesis and Recognition of Facial Expressions in Virtual 3D Views. FGR 2004: 493-498 - 2003
- [j15]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Constructing Facial Identity Surfaces for Recognition. Int. J. Comput. Vis. 53(1): 71-92 (2003) - [j14]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Recognising trajectories of facial identities using kernel discriminant analysis. Image Vis. Comput. 21(13-14): 1077-1086 (2003) - [j13]Jeffrey Ng Sing Kwong, Shaogang Gong:
Learning pixel-wise signal energy for understanding semantics. Image Vis. Comput. 21(13-14): 1183-1189 (2003) - [c54]Tao Xiang, Shaogang Gong:
Discovering Bayesian Causality among Visual Events in a Complex Outdoor Scene. AVSS 2003: 177-182 - [c53]Andrew Graves, Shaogang Gong:
Spotting Scene Change for Indexing Surveillance Video. BMVC 2003: 1-10 - [c52]Tao Xiang, Shaogang Gong, Dennis Parkinson:
Outdoor Activity Recognition using Multi-Linked Temporal Processes. BMVC 2003: 1-10 - [c51]Shaogang Gong, Tao Xiang:
Recognition of Group Activities using Dynamic Probabilistic Networks. ICCV 2003: 742-749 - 2002
- [j12]Shaogang Gong, Alexandra Psarrou, Sami Romdhani:
Corresponding dynamic appearances. Image Vis. Comput. 20(4): 307-318 (2002) - [j11]Alexandra Psarrou, Shaogang Gong, Michael Walter:
Recognition of human gestures and behaviour based on motion trajectories. Image Vis. Comput. 20(5-6): 349-358 (2002) - [j10]Jeffrey Ng Sing Kwong, Shaogang Gong:
Composite support vector machines for detection of faces across views and pose estimation. Image Vis. Comput. 20(5-6): 359-368 (2002) - [j9]Eng-Jon Ong, Shaogang Gong:
The dynamics of linear combinations: tracking 3D skeletons of human subjects. Image Vis. Comput. 20(5-6): 397-414 (2002) - [j8]Shaogang Gong, Hilary Buxton:
Understanding visual behaviour. Image Vis. Comput. 20(12): 825-826 (2002) - [j7]Shaogang Gong, Jeffrey Ng Sing Kwong, Jamie Sherrah:
On the semantics of visual behaviour, structured events and trajectories of human action. Image Vis. Comput. 20(12): 873-888 (2002) - [c50]Tao Xiang, Shaogang Gong, Dennis Parkinson:
Autonomous Visual Events Detection and Classification without Explicit Object-Centred Segmentation and Tracking. BMVC 2002: 1-10 - [c49]Jeffrey Ng, Shaogang Gong:
Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning. ECCV (4) 2002: 670-684 - 2001
- [j6]Jamie Sherrah, Shaogang Gong, Eng-Jon Ong:
Face distributions in similarity space under varying head pose. Image Vis. Comput. 19(12): 807-819 (2001) - [j5]Jamie Sherrah, Shaogang Gong:
Fusion of perceptual cues for robust tracking of head pose and position. Pattern Recognit. 34(8): 1565-1572 (2001) - [c48]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis. BMVC 2001: 1-10 - [c47]Jeffrey Ng, Shaogang Gong:
Learning Pixel-Wise Signal Energy for Understanding Semantics. BMVC 2001: 1-10 - [c46]Michael Walter, Alexandra Psarrou, Shaogang Gong:
Data Driven Model Acquisition using Minimum Description Length. BMVC 2001: 1-11 - [c45]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space. CVPR (2) 2001: II:258-263 - [c44]Jamie Sherrah, Shaogang Gong:
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects. ICCV 2001: 42-49 - [c43]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Modelling Faces Dynamically across Views and Over Time. ICCV 2001: 554-559 - 2000
- [b1]Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou:
Dynamic Vision - From Images to Face Recognition. Imperial College Press 2000, ISBN 978-1-86094-181-8, pp. I-XIX, 1-344 - [c42]Ting-Hsun Chang, Shaogang Gong, Eng-Jon Ong:
Tracking Multiple People Under Occlusion Using Multiple Cameras. BMVC 2000: 1-10 - [c41]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Recognising the Dynamics of Faces across Multiple Views. BMVC 2000: 1-10 - [c40]Eng-Jon Ong, Shaogang Gong:
Quantifying Ambiguities in Inferring Vector-Based 3D Models. BMVC 2000: 1-10 - [c39]Jamie Sherrah, Shaogang Gong:
Resolving Visual Uncertainty and Occlusion through Probabilistic Reasoning. BMVC 2000: 1-10 - [c38]Jamie Sherrah, Shaogang Gong:
Tracking Discontinuous Motion Using Bayesian Inference. ECCV (2) 2000: 150-166 - [c37]Sami Romdhani, Alexandra Psarrou, Shaogang Gong:
On Utilising Template and Feature-Based Correspondence in Multi-view Appearance Models. ECCV (1) 2000: 799-813 - [c36]Yongmin Li, Shaogang Gong, Heather M. Liddell:
Support Vector Regression and Classification Based Multi-View Face Detection and Recognition. FG 2000: 300-305 - [c35]Michael Walter, Alexandra Psarrou, Shaogang Gong:
An Incremental Approach towards Automatic Model Acquisition for Human Gesture Recognition. Workshop on Human Motion 2000: 39- - [c34]Jamie Sherrah, Shaogang Gong:
VIGOUR: A System for Tracking and Recognition of Multiple People and their Activities. ICPR 2000: 1179-1182 - [c33]Jamie Sherrah, Shaogang Gong, A. Jonathan Howell, Hilary Buxton:
Interpretation of Group Behavior in Visually Mediated Interaction. ICPR 2000: 1266-1269 - [c32]Sami Romdhani, Alexandra Psarrou, Shaogang Gong:
A Generic Face Appearance Model of Shape and Texture under Very Large Pose Variations from Profile to Profile Views. ICPR 2000: 5060-5063 - [c31]Yongmin Li, Shaogang Gong, Jamie Sherrah, Heather M. Liddell:
Multi-view face detection using support vector machines and eigenspace modelling. KES 2000: 241-244
1990 – 1999
- 1999
- [j4]Stephen J. McKenna, Yogesh Raja, Shaogang Gong:
Tracking colour objects using adaptive mixture models. Image Vis. Comput. 17(3-4): 225-231 (1999) - [c30]Jeffrey Ng Sing Kwong, Shaogang Gong:
Learning Support Vector Machines for A Multi-View Face Model. BMVC 1999: 1-10 - [c29]Eng-Jon Ong, Shaogang Gong:
A Dynamic 3D Human Model using Hybrid 2D-3D Representations in Hierarchical PCA Space. BMVC 1999: 1-10 - [c28]Sami Romdhani, Shaogang Gong, Alexandra Psarrou:
A Multi-View Nonlinear Active Shape Model Using Kernel PCA. BMVC 1999: 1-10 - [c27]Jamie Sherrah, Shaogang Gong:
Fusion of Perceptual Cues using Covariance Estimation. BMVC 1999: 1-10 - [c26]Jamie Sherrah, Shaogang Gong, Eng-Jon Ong:
Understanding Pose Discrimination in Similarity Space. BMVC 1999: 1-10 - [c25]Michael Walter, Alexandra Psarrou, Shaogang Gong:
Learning Prior and Observation Augmented Density Models for Behaviour Recognition. BMVC 1999: 1-10 - [c24]Jamie Sherrah, Shaogang Gong:
Exploiting Context in Gesture Recognition. CONTEXT 1999: 515-518 - [c23]Shaogang Gong, Michael Walter, Alexandra Psarrou:
Recognition of Temporal Structures: Learning Prior and Propagating Observation Augmented Densities via Hidden Markov States. ICCV 1999: 157-162 - 1998
- [j3]Stephen J. McKenna, Shaogang Gong, Yogesh Raja:
Modelling facial colour and identity with Gaussian mixtures. Pattern Recognit. 31(12): 1883-1892 (1998) - [j2]Stephen J. McKenna, Shaogang Gong:
Real-time face pose estimation. Real Time Imaging 4(5): 333-347 (1998) - [c22]Stephen J. McKenna, Shaogang Gong:
Face Recognition from Sequences Using Models of Identity. ACCV (1) 1998: 507-514 - [c21]Yogesh Raja, Stephen J. McKenna, Shaogang Gong:
Segmentation and Tracking Using Color Mixture Models. ACCV (1) 1998: 607-614 - [c20]Stephen J. McKenna, Yogesh Raja, Shaogang Gong:
Object Tracking Using Adaptive Color Mixture Models. ACCV (1) 1998: 615-622 - [c19]Shaogang Gong, Eng-Jon Ong, Peter J. Loft:
Appearance-Based Face Recognition under Large Head Rotations in Depth. ACCV (2) 1998: 679-686 - [c18]Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna:
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes. BMVC 1998: 1-10 - [c17]Stephen J. McKenna, Shaogang Gong:
Gesture Recognition for Visually Mediated Interaction using Probabilistic Event Trajectories. BMVC 1998: 1-10 - [c16]Yogesh Raja, Stephen J. McKenna, Shaogang Gong:
Colour Model Selection and Adaption in Dynamic Scenes. ECCV (1) 1998: 460-474 - [c15]Fernando De la Torre, Shaogang Gong, Stephen J. McKenna:
View-Based Adaptive Affine Tracking. ECCV (1) 1998: 828-842 - [c14]Yogesh Raja, Stephen J. McKenna, Shaogang Gong:
Tracking and Segmenting People in Varying Lighting Conditions Using Colour. FG 1998: 228-233 - [c13]Fernando De la Torre, Shaogang Gong, Stephen J. McKenna:
View Alignment with Dynamically Updated Affine Tracking. FG 1998: 510-515 - [c12]Yogesh Raja, Stephen J. McKenna, Shaogang Gong:
Using Colour for Robust Tracking and Segmentation. NMBIA 1998: 199-204 - 1997
- [c11]Stephen J. McKenna, Shaogang Gong, Rolf P. Würtz, Jonathan Tanner, Daniel Banin:
Tracking Facial Feature Points with Gabor Wavelets and Shape Models. AVBPA 1997: 35-42 - [c10]Stephen J. McKenna, Shaogang Gong:
Non-intrusive Person Authentication for Access Control by Visual Tracking and Face Recognition. AVBPA 1997: 177-183 - [c9]Stephen J. McKenna, Shaogang Gong, Yogesh Raja:
Face Recognition in Dynamic Scenes. BMVC 1997 - 1996
- [c8]Stephen J. McKenna, Shaogang Gong, J. J. Collins:
Face Tracking and Pose Representation. BMVC 1996: 1-10 - [c7]Shaogang Gong, Stephen J. McKenna, J. J. Collins:
An Investigation into Face Pose Distributions. FG 1996: 265-270 - [c6]Stephen J. McKenna, Shaogang Gong:
Tracking Faces. FG 1996: 271-276 - 1995
- [j1]Hilary Buxton, Shaogang Gong:
Visual Surveillance in a Dynamic and Uncertain World. Artif. Intell. 78(1-2): 431-459 (1995) - [c5]Alexandra Psarrou, Shaogang Gong, Hilary Buxton:
Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks. ICNN 1995: 2226-2231 - 1993
- [c4]Shaogang Gong, Hilary Buxton:
From Contextual Knowledge to Computational Constraints. BMVC 1993: 1-10 - 1992
- [c3]Shaogang Gong, Hilary Buxton:
On the Visual Expectations of Moving Objects. ECAI 1992: 781-784 - 1990
- [c2]Shaogang Gong, Michael Brady:
Parallel Computation Of Optic Flow. ECCV 1990: 124-133
1980 – 1989
- 1988
- [c1]Shaogang Gong:
Improved Local Flow. Alvey Vision Conference 1988: 1-6
Coauthor Index
[j61] [j60] [j59] [i37] [c186] [c185] [i28] [i25] [i22] [j51] [j50] [j48] [c174] [c173] [c172] [c171] [c170] [c168] [c167] [c166] [i19] [i16] [i13] [i12] [j45] [c165] [c163] [c162] [c161] [c159] [i9] [i8] [i6] [i5] [j44] [c157] [c154] [c151] [c150] [p6] [i1] [j42] [j41] [c147] [c144] [c143] [p3] [j40] [j39] [j38] [j37] [j36] [c135] [c134] [c131] [c130] [c129] [e3] [b2] [j35] [j34] [c128] [c127] [c126] [c125] [p2] [j32] [j30] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [j26] [j25] [j23] [j22] [j21] [c103] [c102] [c100] [c96] [c94] [c85] [j19] [j18] [c84] [c74] [c65] [c62] [c61] [c56] [c54] [c52] [c51] [c50]
[i86] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [i62] [j67] [j65] [j64] [j63] [c219] [c218] [c217] [c216] [c215] [c213] [c211] [i56] [j62] [c210] [c209] [c206] [c205] [c203] [c202] [c201] [i50] [i48] [i47] [i45] [i44] [j61] [c199] [c198] [c197] [c196] [c195] [c194] [c193] [c192] [c191] [c190] [c189] [c188] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [j58] [j54] [c187] [c184] [c183] [c181] [c180] [c178] [c177] [c176] [i27] [i26] [i24] [i23] [i21] [j52] [j49] [j47] [c175] [c168] [c167] [i20] [i18] [i15] [i12] [i11] [i10] [c153] [c149] [c146] [c142] [c136]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-25 17:02 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
