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School of Electronic Engineering and Computer Science

Professor Shaogang Gong, DPhil FIEE FBCS

Shaogang

Professor of Visual Computation

Email: s.gong@qmul.ac.uk
Telephone: +44 20 7882 5249
Room Number: Peter Landin, CS 325
Website: http://www.eecs.qmul.ac.uk/~sgg

Teaching

Deep Learning and Computer Vision (Postgraduate)

Fuelled by the advances in sensing, computing and Machine Learning, Computer Vision applications start finding their way in our everyday lives. Face detection/recognition in Facebook, augmented reality with Google glasses, gaming with Microsoft kinect, to name just a few. This module, covers emerging topics/applications in the field of Computer Vision, and the underlying Machine Learning methodologies.

Research

Research Interests:

Shaogang Gong is the Head of the Queen Mary Computer Vision Group, with research interests on computer vision, machine learning, and video analysis (http://www.eecs.qmul.ac.uk/~sgg/). He has written two research monographs: Visual Analysis of Behaviour: From Pixels to Semantics (2011) and Dynamic Vision: From Images to Face Recognition (2000); edited five books on topics ranging from Person Re-identification (2014), Video Analytics for Business Intelligence (2012), to Modelling and Analysis of Faces and Gestures (2007, 2005, 2003); and published over 400 papers (http://scholar.google.com/citations?user=Nhi0I8cAAAAJ). Gong's research has led to three start-up companies. He won the 2019 Bruce Dickinson Entrepreneur of the Year Award, the 2019 Queen Mary Innovation Award, and the 2017 Queen Mary Academic Commercial Enterprise Award. A commercial system built on the patents and software from his research won the 2017 Global Frost & Sullivan Award for Technical Innovation for Law Enforcement Video Forensics Technology, and the 2017 annual (12th) ADS (Aerospace Defence Security) Innovation Award for "revolutionary solution to reviewing CCTV footage". 
Since 1996, Gong has served as chairs, area chairs and on programme committees of over 130 computer vision and pattern recognition conferences including IEEE International Conferences on Computer Vision (ICCV'17, ICCV'15, ICCV'13, ICCV'11, ICCV'09, ICCV'05, ICCV'03, ICCV'01), IEEE Conferences on Computer Vision and Pattern Recognition (CVPR'18, CVPR'17, CVPR'16, CVPR'15, CVPR'14, CVPR'13, CVPR'12, CVPR'11, CVPR'10, CVPR'07, CVPR'05), European Conferences on Computer Vision (ECCV'18, ECCV'16, ECCV'14, ECCV'12, ECCV'10, ECCV'08, ECCV'06, ECCV'04, ECCV'02), International Conferences on Pattern Recognition (ICPR'14, ICPR'12, ICPR'10, ICPR'08, ICPR'04), and British Machine Vision Conferences (BMVC'19, BMVC'18, BMVC'17, BMVC'16, BMVC'15, BMVC'14, BMVC'13, BMVC'12, BMVC'11, BMVC'09, BMVC'08, BMVC'07, BMVC'06, BMVC'05, BMVC'04, BMVC'02, BMVC'01). He serves currently as an Associate Editor and on the Editorial Board of IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT). He received the 2015 IEEE TCSVT Best Associate Editor Award. He served as the Guest Editor of the Journal of Computer Vision and Image Understanding 2016 special issue on "Image and Video Understanding in Big Data", the Journal of Image and Vision Computing 2002 special issue on "Understanding Visual Behaviour".
Gong was a recipient of a Queen's Research Scientist Award (1987), a Royal Society Research Fellow (1987 & 1988), a GEC-Oxford Fellow (1989), elected a Fellow of the Institution of Electrical Engineers, a Fellow of the British Computer Society, and a member of the UK Computing Research Committee. He served on the UK Government Chief Scientific Adviser Science Review Steering Panel. 

 

Publications

    • Lan X, Zhu X, Gong S (2022), Unsupervised cross-domain person re-identification by instance and distribution alignment $nameOfConference


    • Zheng WS, Hong J, Jiao J et al. (2021), Joint Bilateral-Resolution Identity Modeling for Cross-Resolution Person Re-Identification $nameOfConference


    • Li P, Li D, Li W et al. (2021), A Simple Feature Augmentation for Domain Generalization 2021 IEEE/CVF International Conference on Computer Vision (ICCV)


    • Wu G, Gong S (2021), Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation $nameOfConference


    • Huang J, Liu Y, Gong S et al. (2021), Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation 2021 IEEE/CVF International Conference on Computer Vision (ICCV)


    • Wu G, Gong S, Queen PL (2021), Striking a Balance between Stability and Plasticity for Class-Incremental Learning 2021 IEEE/CVF International Conference on Computer Vision (ICCV)


    • Wu G, Zhu X, Gong S (2021), Learning hybrid ranking representation for person re-identification $nameOfConference


    • Yin Q, Wang G, Ding G et al. (2021), Multi-View Label Prediction for Unsupervised Learning Person Re-Identification $nameOfConference


    • Zhu X, Zhu X, Li M et al. (2021), Intra-Camera Supervised Person Re-Identification $nameOfConference


    • Spagnolo P, Aghajan H, Bebis G et al. (2021), Guest editorial introduction to the special issue on large-scale visual sensor networks: Architectures and applications $nameOfConference


    • Su H, Gong S, Zhu X (2021), Multi-perspective cross-class domain adaptation for open logo detection $nameOfConference


    • Li W, Gong S, Zhu X (2021), Hierarchical distillation learning for scalable person search $nameOfConference


    • Wu G, Gong S, Intelligence AAA (2021), Peer Collaborative Learning for Online Knowledge Distillation AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Wu G, Gong S, Intelligence AAA (2021), Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Wu G, Gong S, Intelligence AAA (2021), Generalising without Forgetting for Lifelong Person Re-Identification AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Li P, Fu Y, Gong S (2021), Regularising Knowledge Transfer by Meta Functional Learning $nameOfConference


    • Li P, Wu G, Gong S et al. (2021), SEMI-SUPERVISED FEW-SHOT LEARNING WITH PSEUDO LABEL REFINEMENT $nameOfConference


    • Cheng Z, Zhu X, Gong S (2020), Face re-identification challenge: Are face recognition models good enough? $nameOfConference


    • Li M, Zhu X, Gong S (2020), Unsupervised Tracklet Person Re-Identification $nameOfConference


    • Cheng Z, Zhu X, Gong S (2020), Characteristic regularisation for super-resolving face images IEEE Winter Conference on Applications of Computer Vision


    • Zhu X, Zhu X, Li M et al. (2020), Intra-Camera Supervised Person Re-Identification $nameOfConference

    • Wu A, Zheng WS, Gong S et al. (2020), RGB-IR Person Re-identification by Cross-Modality Similarity Preservation $nameOfConference


    • Huang J, Gong S, Zhu X (2020), Deep Semantic Clustering by Partition Confidence Maximisation IEEE Conference on Computer Vision and Pattern Recognition


    • Wang G, Gong S, Cheng J et al. (2020), Faster Person Re-identification $nameOfConference


    • Chen Y, Gong S, Bazzani L (2020), Image Search with Text Feedback by Visiolinguistic Attention Learning IEEE Conference on Computer Vision and Pattern Recognition


    • Cheng Z, Dong Q, Gong S et al. (2020), Inter-task association critic for cross-resolution person re-identification IEEE Conference on Computer Vision and Pattern Recognition


    • Li W, Gong S, Zhu X (2020), Neural graph embedding for neural architecture search AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Chen Y, Zhu X, Li W et al. (2020), Semi-supervised learning under class distribution mismatch AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Wu G, Zhu X, Gong S (2020), Spatio-temporal associative representation for video person re-identification $nameOfConference

    • Wu G, Zhu X, Gong S (2020), Tracklet self-supervised learning for unsupervised person re-identification AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Huang J, Dong Q, Gong S et al. (2020), Unsupervised deep learning via affinity diffusion AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

    • Li W, Zhu X, Gong S (2019), Scalable Person Re-Identification by Harmonious Attention $nameOfConference


    • Lin H, Fu Y, Lu P et al. (2019), TC-NEt for ISBIR: Triplet classification network for instance-level sketch based image retrieval $nameOfConference


    • Liu Z, Wang J, Gong S et al. (2019), Deep reinforcement active learning for human-in-the-loop person re-identification IEEE International Conference on Computer Vision


    • Chen Y, Zhu X, Gong S (2019), Instance-guided context rendering for cross-domain person re-identification IEEE International Conference on Computer Vision


    • Zhu X, Zhu X, Li M et al. (2019), Intra-camera supervised person re-identification: A new benchmark IEEE International Conference on Computer Vision Workshops


    • Dong Q, Zhu X, Gong S (2019), Person search by text attribute query as zero-shot learning IEEE International Conference on Computer Vision


    • Wu G, Zhu X, Gong S (2019), Person Re-Identification by Ranking Ensemble Representations IEEE International Conference on Image Processing


    • Su H, Gong S, Zhu X (2019), Scalable logo detection by self co-learning $nameOfConference


    • Zhu X, Zhu X, Li M et al. (2019), Intra-Camera Supervised Person Re-Identification: A New Benchmark $nameOfConference

    • Xu X, Gong S, Hospedales T (2019), Zero-Shot Crowd Behavior Recognition $nameOfConference

    • Lan X, Zhu X, Gong S (2019), Self-Referenced Deep Learning Asian Conference on Computer Vision


    • Rajamanoharan G, Kanacı A, Li M et al. (2019), Multi-task mutual learning for vehicle re-identification IEEE Computer Society Conference on Computer Vision and Pattern Recognition

    • Yu HX, Zheng WS, Wu A et al. (2019), Unsupervised person re-identification by soft multilabel learning IEEE Conference on Computer Vision and Pattern Recognition


    • Li M, Zhu X, Gong S (2019), Unsupervised Tracklet Person Re-Identification $nameOfConference


    • Chen Y, Zhu X, Gong S (2019), Deep Association Learning for Unsupervised Video Person Re-identification $nameOfConference

    • Cheng Z, Zhu X, Gong S (2019), Low-Resolution Face Recognition Asian Conference on Computer Vision


    • Su H, Zhu X, Gong S (2019), Open logo detection challenge $nameOfConference

    • Dong Q, Zhu X, Gong S (2019), Single-label multi-class image classification by deep logistic regression $nameOfConference

    • Huang J, Dong Q, Gong S et al. (2019), Unsupervised deep learning by neighbourhood discovery International Conference on Machine Learning

    • Kanacı A, Zhu X, Gong S (2019), Vehicle Re-identification in Context German Conference on Pattern Recognition


    • Wang J, Zhu X, Gong S et al. (2018), Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification IEEE Conference on Computer Vision and Pattern Recognition


    • Kanacı A, Zhu X, Gong S (2018), Vehicle Re-Identification in Context $nameOfConference

    • Lan X, Zhu X, Gong S (2018), Person Search by Multi-Scale Matching European Conference on Computer Vision


    • Chen Y, Zhu X, Gong S (2018), Semi-supervised Deep Learning with Memory European Conference on Computer Vision


    • Li M, Zhu X, Gong S (2018), Unsupervised Person Re-identification by Deep Learning Tracklet Association European Conference on Computer Vision


    • Wang H, Zhu X, Gong S et al. (2018), Person Re-identification in Identity Regression Space $nameOfConference


    • GONG SS (2018), Harmonious Attention Network for Person Re-Identification IEEE Conference on Computer Vision and Pattern Recognition


    • Dong Q, Gong S, Zhu X (2018), Imbalanced Deep Learning by Minority Class Incremental Rectification $nameOfConference


    • Jiao J, Zheng WS, Wu A et al. (2018), Deep low-resolution person re-identification $nameOfConference

    • Lan X, Zhu X, Gong S (2018), Knowledge distillation by on-the-fly native ensemble Advances in Neural Information Processing Systems

    • Fu Y, Xiang T, Jiang YG et al. (2018), Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content $nameOfConference


    • Wang J, Zhu X, Gong S et al. (2017), Attribute Recognition by Joint Recurrent Learning of Context and Correlation IEEE International Conference on Computer Vision


    • Dong Q, Gong S, Zhu X (2017), Class Rectification Hard Mining for Imbalanced Deep Learning IEEE International Conference on Computer Vision


    • Chen Y, Zhu X, Gong S (2017), Person re-identification by deep learning multi-scale representations IEEE International Conference on Computer Vision Workshops


    • Wu A, Zheng WS, Yu HX et al. (2017), RGB-Infrared Cross-Modality Person Re-identification IEEE International Conference on Computer Vision


    • Su H, Gong S, Zhu X (2017), WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web IEEE International Conference on Computer Vision Workshops


    • Li W, Zhu X, Gong S (2017), Person re-identification by deep joint learning of multi-loss classification International Joint Conference on Artificial Intelligence


    • Fu Z, XIANG T, Kodirov E et al. (2017), Zero-Shot Learning on Semantic Class Prototype Graph $nameOfConference


    • Zhang L, Xiang T, Gong S et al. (2017), Learning a Deep Embedding Model for Zero-Shot Learning IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION


    • Kodirov E, Xiang T, Gong S et al. (2017), Semantic Autoencoder for Zero-Shot Learning IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION


    • Zhang L, Sung F, Liu F et al. (2017), Actor-Critic Sequence Training for Image Captioning $nameOfConference

    • Zhang L, Sung F, Liu F et al. (2017), Actor-Critic Sequence Training for Image Captioning. $nameOfConference

    • Xu X, Hospedales TM, Gong S (2017), Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization $nameOfConference


    • Wang J, Zhu X, Gong S (2017), Discovering visual concept structure with sparse and incomplete tags $nameOfConference


    • Su H, Zhu X, Gong S (2017), Deep learning logo detection with data expansion by synthesising context IEEE Winter Conference on Applications of Computer Vision


    • Dong Q, Gong S, Zhu X (2017), Multi-Task curriculum transfer deep learning of clothing attributes IEEE Winter Conference on Applications of Computer Vision


    • Ma X, Zhu X, Gong S et al. (2017), Person re-identification by unsupervised video matching $nameOfConference


    • Kodirov E, Xiang T, Gong S (2017), Semantic Autoencoder for Zero-Shot Learning $nameOfConference

    • Murino V, Gong S, Loy CC et al. (2017), Image and Video Understanding in Big Data $nameOfConference


    • Schumann A, Gong S, Schuchert T (2017), Deep learning prototype domains for person re-identification IEEE International Conference on Image Processing


    • Xu X, Hospedales T, Gong S (2017), Transductive Zero-Shot Action Recognition by Word-Vector Embedding $nameOfConference


    • Xu X, Gong S, Hospedales TM (2017), Chapter 15 Zero-Shot Crowd Behavior Recognition $nameOfConference


    • Lan X, Wang H, Gong S et al. (2017), Deep reinforcement learning attention selection for person re-identification $nameOfConference


    • Xu X, Gong S, Hospedales TM (2017), Zero-Shot Crowd Behavior Recognition $nameOfConference


    • Xu X, Hospedales TM, Gong S (2016), Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation $nameOfConference

    • Schumann A, Gong S, Schuchert T (2016), Deep Learning Prototype Domains for Person Re-Identification $nameOfConference

    • Li Y, Song YZ, Hospedales TM et al. (2016), Free-Hand Sketch Synthesis with Deformable Stroke Models $nameOfConference


    • Li Y, SONG Y, Hospedales T et al. (publicationYear), Free-hand sketch synthesis with deformable stroke models $nameOfConference


    • Alexiou I, Xiang T, Gong S (2016), Exploring synonyms as context in zero-shot action recognition IEEE International Conference on Image Processing


    • Wang H, Zhu X, Xiang T et al. (2016), Towards unsupervised open-set person re-identification IEEE International Conference on Image Processing


    • Zhu X, Loy CC, Gong S (2016), Constrained Clustering With Imperfect Oracles $nameOfConference


    • Zhang L, Xiang T, Gong S (2016), Learning a discriminative null space for person re-identification IEEE Conference on Computer Vision and Pattern Recognition


    • Peng P, Xiang T, Wang Y et al. (2016), Unsupervised cross-dataset transfer learning for person re-identification IEEE Conference on Computer Vision and Pattern Recognition


    • Zhu X, Loy CC, Gong S (2016), Learning from Multiple Sources for Video Summarisation $nameOfConference


    • Hu JF, Zheng WS, Lai J et al. (2016), Exemplar-Based Recognition of Human-Object Interactions $nameOfConference


    • Fu Y, Hospedales TM, Xiang T et al. (2016), Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels $nameOfConference


    • Zheng WS, Gong S, Xiang T (2016), Towards Open-World Person Re-Identification by One-Shot Group-Based Verification $nameOfConference


    • Xu X, Hospedales TM, Gong S (2016), Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization. $nameOfConference


    • Wang T, Gong S, Zhu X et al. (2016), Person Re-Identification by Discriminative Selection in Video Ranking. $nameOfConference


    • Wang H, Gong S, Xiang T (2016), Highly efficient regression for scalable person re-identification $nameOfConference


    • Wang H, Gong S, Zhu X et al. (2016), Human-in-the-loop person re-identification $nameOfConference


    • Kodirov E, Xiang T, Fu Z et al. (2016), Learning robust graph regularisation for subspace clustering $nameOfConference


    • Xu X, Hospedales TM, Gong S (2016), Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. $nameOfConference

    • Xu X, Hospedales TM, Gong S (2016), Multi-task zero-shot action recognition with prioritised data augmentation $nameOfConference


    • Kodirov E, Xiang T, Fu Z et al. (2016), Person re-identification by unsupervised ℓ1 graph learning $nameOfConference


    • Tan T, Gong S, Aggarval J (2016), Preface $nameOfConference


    • Fu Y, Hospedales TM, Xiang T et al. (2016), Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. $nameOfConference


    • Wang J, Zhu X, Gong S (2016), Video semantic clustering with sparse and incomplete tags $nameOfConference

    • Li X, Zheng W, Li X et al. (2015), Multi-scale Person Re-identification International Conference on Computer Vision

    • Zheng W, Li X, XIANG T et al. (2015), Partial Person Re-identification International Conference on Computer Vision


    • Xu X, Hospedales T, Gong S (2015), Semantic embedding space for zero-shot action recognition $nameOfConference


    • Xu X, Hospedales T, Gong S (2015), Transductive Zero-Shot Action Recognition by Word-Vector Embedding $nameOfConference

    • Fu Y, Hospedales TM, Xiang T et al. (2015), Transductive Multi-View Zero-Shot Learning $nameOfConference


    • Li Y, Song Y-Z, Hospedales T et al. (2015), Free-hand Sketch Synthesis with Deformable Stroke Models $nameOfConference

    • Alexiou I, XIANG T, Gong S (2015), Learning A Joint Discriminative-Generative Model for Action Recognition International Conference on Systems, Signals and Image Processing


    • Kodirov E, XIANG T, Gong S (2015), Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-Identification British Machine Vision Conference


    • Xu X, Hospedales T, Gong S (2015), Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization $nameOfConference

    • Gu L, Kanade T (2015), Face Alignment $nameOfConference


    • Jia K, Gong S (2015), Face Sample Quality $nameOfConference


    • Fu Z, XIANG T, Kodirov E et al. (2015), Zero-Shot Object Recognition by Semantic Manifold Distance IEEE Conference on Computer Vision and Pattern Recognition


    • Li Y, Hospedales TM, Song YZ et al. (2015), Free-hand sketch recognition by multi-kernel feature learning $nameOfConference


    • Fu Y, Yang Y, Hospedales TM et al. (2015), Transductive Multi-class and Multi-label Zero-shot Learning $nameOfConference

    • Fu Y, Yang Y, Hospedales T et al. (2015), Transductive Multi-label Zero-shot Learning $nameOfConference

    • Fu Y, Hospedales T, XIANG T et al. (2015), Transductive Multi-view Zero-Shot Learning $nameOfConference


    • Li X, Zheng WS, Wang X et al. (2015), Multi-scale learning for low-resolution person re-identification $nameOfConference


    • Xu X, Hospedales T, Gong S (2015), Semantic Embedding Space for Zero-Shot Action Recognition $nameOfConference

    • Fu Y, Hospedales TM, Xiang T et al. (2015), Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels $nameOfConference

    • Fu Y, Hospedales TM, Xiang T et al. (2015), Transductive Multi-view Zero-Shot Learning $nameOfConference

    • Zhu X, Loy CC, Gong S (2015), Learning from Multiple Sources for Video Summarisation $nameOfConference

    • Layne R, Hospedales TM, Gong S (2015), Investigating open-world person re-identification using a drone $nameOfConference


    • Xu X, Hospedales TM, Gong S (2015), Semantic embedding space for zero-shot action recognition. $nameOfConference

    • Fu Y, Hospedales TM, Xiang T et al. (2015), Transductive Multi-View Zero-Shot Learning. $nameOfConference


    • Fu Y, Yang Y, Hospedales TM et al. (2015), Transductive Multi-class and Multi-label Zero-shot Learning. $nameOfConference

    • Kodirov E, XIANG T, Gong S (2015), Unsupervised Domain Adaptation for Zero-Shot Learning International Conference on Computer Vision


    • Xu X, Hospedales TM, Gong S (2015), Zero-Shot Action Recognition by Word-Vector Embedding. $nameOfConference

    • Zhu X, Loy CC, Gong S (2014), Constructing robust affinity graphs for spectral clustering $nameOfConference


    • FU Y, Hospedales T, XIANG T et al. (2014), Interestingness Prediction by Robust Learning to Rank European Conference on Computer Vision

    • Fu Y, Hospedales TM, Xiang T et al. (2014), Learning multimodal latent attributes $nameOfConference


    • Layne R, Hospedales TM, Gong S (2014), Attributes-based re-identification $nameOfConference


    • Liu C, Gong S, Loy CC et al. (2014), Evaluating feature importance for re-identification $nameOfConference


    • Li Y, Hospedales TM, Song YZ et al. (2014), Fine-grained sketch-based image retrieval by matching deformable part models $nameOfConference

    • Zheng WS, Gong S, Xiang T (2014), Group association: Assisting re-identification by visual context $nameOfConference


    • Fu Y, Hospedales TM, Xiang T et al. (2014), Interestingness prediction by robust learning to rank $nameOfConference


    • Li Y, Hospedales T, Song Y-Z et al. (2014), Intra-category sketch-based image retrieval by matching deformable part models Proceedings of the British Machine Vision Conference 2014


    • Liu C, Gong S, Loy CC (2014), On-the-fly feature importance mining for person re-identification $nameOfConference


    • Cancela B, Hospedales TM, Gong S (2014), Open-world person re-identification by multi-label assignment inference $nameOfConference


    • Wang T, Gong S, Zhu X et al. (2014), Person re-identification by video ranking $nameOfConference


    • Gong S, Cristani M, Yan S et al. (2014), Preface $nameOfConference

    • Layne R, Hospedales TM, Gong S (2014), Re-id: Hunting attributes in the wild $nameOfConference


    • Raja Y, Gong S (2014), Scalable multi-camera tracking in a metropolis $nameOfConference


    • Gong S, Cristani M, Loy CC et al. (2014), The re-identification challenge $nameOfConference


    • Fu Y, Yang Y, Hospedales T et al. (2014), Transductive multi-label zero-shot learning $nameOfConference


    • Fu Y, Hospedales TM, Xiang T et al. (2014), Transductive multi-view embedding for zero-shot recognition and annotation $nameOfConference


    • Wang H, Gong S, Xiang T (2014), Unsupervised learning of generative topic saliency for person re-identification $nameOfConference


    • Zhu X, Loy CC, Gong S (2013), Constrained clustering: Effective constraint propagation with imperfect oracles $nameOfConference


    • Chen K, Gong S, Xiang T et al. (2013), Cumulative attribute space for age and crowd density estimation $nameOfConference


    • Loy CC, Chen K, Gong S et al. (2013), Crowd Counting and Profiling: Methodology and Evaluation $nameOfConference


    • Zheng W, Gong S, Xiang T (2013), Re-identification by Relative Distance Comparison $nameOfConference


    • Xu X, Gong S, Hospedales T (2013), Cross-domain traffic scene understanding by motion model transfer $nameOfConference


    • Layne R, Hospedales TM, Gong S (2013), Domain transfer for person re-identification $nameOfConference


    • Hospedales TM, Gong S, Xiang T (2013), Finding Rare Classes: Active Learning with Generative and Discriminative Models $nameOfConference


    • Loy CC, Gong S, Xiang T (2013), From semi-supervised to transfer counting of crowds $nameOfConference


    • Liu C, Gong S, Loy CC (2013), On-the-fly feature importance mining for person re-identification $nameOfConference


    • Liu C, Loy CC, Gong S et al. (2013), POP: Person re-identification post-rank optimisation $nameOfConference


    • Loy CC, Liu C, Gong S (2013), Person re-identification by manifold ranking $nameOfConference


    • Hu JF, Zheng WS, Lai J et al. (2013), Recognising human-object interaction via exemplar based modelling $nameOfConference


    • Li Y, Song YZ, Gong S (2013), Sketch recognition by ensemble matching of structured features $nameOfConference


    • Zhu X, Loy CC, Gong S (2013), Video synopsis by heterogeneous multi-source correlation $nameOfConference


    • Hospedales TM, Gong S (2012), Real-time dictionary based super-resolution of surveillance video streams and targets $nameOfConference


    • Fu Y, Hospedales TM, Xiang T et al. (2012), Attribute learning for understanding unstructured social activity $nameOfConference


    • Loy CC, Hospedales TM, Xiang T et al. (2012), Stream-based joint exploration-exploitation active learning $nameOfConference


    • Zheng WS, Gong S, Xiang T (2012), Transfer re-identification: From person to set-based verification $nameOfConference


    • Loy CC, Xiang T, Gong S (2012), Incremental activity modeling in multiple disjoint cameras. $nameOfConference


    • Loy CC, Xiang T, Gong S (2012), Salient motion detection in crowded scenes $nameOfConference


    • Hospedales TM, Gong S, Xiang T (2012), Video Behaviour Mining Using a Dynamic Topic Model $nameOfConference


    • Zheng WS, Gong S, Xiang T (2012), Re-identification by Relative Distance Comparison. $nameOfConference


    • Li J, Gong S, Xiang T (2012), Learning Behavioural Context $nameOfConference


    • Zheng W-S, Gong S, Xiang T (2012), Quantifying and transferring contextual information in object detection. $nameOfConference


    • HOSPEDALES T, Gong S, Xiang T (2012), A Unifying Theory of Active Discovery and Learning European Conference on Computer Vision


    • Zhu X, Gong S, Loy CC (2012), Comparing visual feature coding for learning disjoint camera dependencies $nameOfConference


    • Chen K, Loy CC, Gong S et al. (2012), Feature mining for localised crowd counting $nameOfConference


    • Layne R, Hospedales T, Gong S (2012), Person re-identification by attributes $nameOfConference


    • Liu C, Gong S, Loy CC et al. (2012), Person re-identification: What features are important? $nameOfConference


    • Raja Y, Gong S (2012), Scaling up multi-camera tracking for real-world deployment $nameOfConference


    • Layne R, Hospedales TM, Gong S (2012), Towards person identification and re-identification with attributes $nameOfConference


    • Chen K, Gong S, Xiang T (2011), Human pose estimation using structural support vector machines $nameOfConference


    • Hospedales TM, Gong S, Xiang T (2011), Learning tags from unsegmented videos of multiple human actions $nameOfConference


    • Bregonzio M, XIANG T, Gong S (2011), Fusing appearance and distribution information of interest points for action recognition $nameOfConference


    • Li J, Gong S, Xiang T (2011), Learning Behavioural Context $nameOfConference


    • Zheng W, Gong S, XIANG T (2011), Person Re-identification by Probabilistic Relative Distance Comparison IEEE Conference on Computer Vision and Pattern Recognition


    • Gong S, XIANG T (2011), Visual Analysis of Behaviour: From Pixels to Semantics $nameOfConference


    • Gong S, Xiang T (2011), Visual Analysis of Behaviour: From Pixels to Semantics $nameOfConference

    • Hospedales TM, Li J, Gong S et al. (2011), Identifying Rare and Subtle Behaviours: A Weakly Supervised Joint Topic Model. $nameOfConference


    • Hospedales T, Gong S, XIANG T (2011), Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning Pacific-Asia Conference on Knowledge Discovery and Data Mining


    • Zhang J, Gong S (2011), Fusion of motion and appearance for robust people detection in cluttered scenes $nameOfConference


    • Loy C, Xiang T, Gong S (2011), Detecting and Discriminating Behavioural Anomalies $nameOfConference


    • Hospedales TM, Gong S, Xiang T (2011), Finding rare classes: Adapting generative and discriminative models in active learning $nameOfConference


    • Chen K, Gong S, Xiang T et al. (2011), Human Pose Estimation Using Structural Support Vector Machines $nameOfConference


    • Li J, Hospedales TM, Gong SG et al. (2011), Learning Rare Behaviours $nameOfConference


    • Zheng W-S, Gong S, Xiang T et al. (2011), Person Re-identification by Probabilistic Relative Distance Comparison $nameOfConference

    • Gong S, Loy CC, Xiang T (2011), Security and Surveillance $nameOfConference


    • Loy CC, Xiang T, Gong S (2011), Stream-Based Active Unusual Event Detection $nameOfConference


    • Zheng WS, Gong SG, Xiang T (2011), Unsupervised Selective Transfer Learning for Object Recognition $nameOfConference

    • Raja Y, Gong S, Xiang T (2011), User-assisted visual search and tracking across distributed multi-camera networks $nameOfConference


    • Hospedales T, Gong S, Xiang T (2011), Video Behaviour Mining Using a Dynamic Topic Model $nameOfConference

    • Li J, Hospedales T, Gong S et al. (2010), Learning Rare Behaviours $nameOfConference


    • Loy C, Xiang T, Gong S (2010), Stream-based Active Anomaly Detection $nameOfConference

    • Zheng W, Gong S, Xiang T (2010), Unsupervised Selective Transfer Learning for Object Recognition $nameOfConference


    • Bashir K, Xiang T, Gong S (2010), Gait Recognition without Subject Cooperation $nameOfConference


    • Gong S, Xiang T, Hongeng S (2010), Learning Human Pose in Crowd $nameOfConference


    • Loy CC, Xiang T, Gong SG (2010), Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding $nameOfConference


    • Bashir K, Xiang T, Gong S (2010), Cross-View Gait Recognition Using Correlation Strength $nameOfConference


    • Bregonzio M, Li J, Gong S et al. (2010), Discriminative Topics Modelling for Action Feature Selection and Recognition $nameOfConference


    • Prosser B, Zheng W, Gong S et al. (2010), Person Re-Identification by Support Vector Ranking $nameOfConference


    • Zhang JG, Gong SG (2010), Action categorization by structural probabilistic latent semantic analysis $nameOfConference


    • Zhang JG, Gong SG (2010), Action categorization with modified hidden conditional random field $nameOfConference


    • Bregonzio M, Gong S, Xiang T (2009), Action Recognition with Cascaded Feature Selection and Classification $nameOfConference

    • Bashir K, Xiang T, Gong S (2009), Gait Recognition Using Gait Entropy Image $nameOfConference

    • Loy CC, Xiang T, Gong S (2009), Surveillance video behaviour profiling and anomaly detection $nameOfConference


    • Hospedales T, Gong S, Xiang T (2009), A Markov Clustering Topic Model for Mining Behaviour in Video $nameOfConference

    • Li J, Gong S, Xiang T (2009), Discovering Multi-Camera Behaviour Correlations for On-the-Fly Global Activity Prediction and Anomaly Detection $nameOfConference

    • Loy C, Xiang T, Gong S (2009), Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model $nameOfConference

    • Zheng W, Gong S, Xiang T (2009), Quantifying Contextual Information for Object Detection $nameOfConference

    • Zelniker E, Hospedales T, Gong S et al. (2009), A Unified Approach for Adaptive Multiple Feature Tracking for Surveillance Applications $nameOfConference

    • Zheng W, Gong S, Xiang T (2009), Associating Groups of People $nameOfConference

    • Bashir K, Xiang T, Gong S (2009), Gait Representation Using Flow Fields $nameOfConference

    • Orozco J, Gong S, Xiang T (2009), Head Pose Classification in Crowded Scenes $nameOfConference

    • Loy C, Xiang T, Gong S (2009), Multi-Object Activity Modelling Using Gaussian Processes $nameOfConference

    • Pachoud S, Gong S, Cavallaro A (2009), Space-Time Audio-Visual Speech Recognition with Multiple Multi-Class Probabilistic Support Vector Machines $nameOfConference

    • Loy C, Xiang T, Gong S (2009), Multi-Camera Activity Correlation Analysis $nameOfConference


    • Bregonzio M, Gong S, Xiang T (2009), Recognising Action as Clouds of Space-Time Interest Points $nameOfConference


    • Bregonzio M, Gong S, Xiang T (2009), Recognising action as clouds of space-time interest points 2009 IEEE Conference on Computer Vision and Pattern Recognition


    • Shan CF, Gong SG, McOwan PW (2009), Facial expression recognition based on Local Binary Patterns: A comprehensive study $nameOfConference


    • Zhang JG, Gong SG (2009), People detection in low-resolution video with non-stationary background $nameOfConference


    • Wang Y, Mei T, Gong SG et al. (2009), Combining global, regional and contextual features for automatic image annotation $nameOfConference


    • Hospedales T, Gong S, Xiang T (2009), A Markov Clustering Topic Model for Mining Behaviour in Video $nameOfConference


    • Zelniker EE, Hospedales TM, Gong S et al. (2009), A unified Bayesian framework for adaptive visual tracking $nameOfConference


    • Bregonzio M, Gong S, Xiang T (2009), Action Recognition with Cascaded Feature Selection and Classification $nameOfConference


    • Zheng W, Gong S, Xiang T (2009), Associating Groups of People British Machine Vision Conference (BMVC)


    • Li J, Gong S, Xiang T (2009), Discovering Multi-Camera Behaviour Correlations for On-the-Fly Global Activity Prediction and Anomaly Detection $nameOfConference


    • (2009), Face Acquisition $nameOfConference


    • Jia K, Gong S (2009), Face Sample Quality $nameOfConference


    • Bashir K, Xiang T, Gong S (2009), Gait Recognition Using Gait Entropy Image $nameOfConference


    • Bashir K, Xiang T, Gong S (2009), Gait Representation Using Flow Fields British Machine Vision Conference (BMVC)


    • Orozco J, Xiang T, Gong S (2009), Head Pose Classification in Crowded Scenes British Machine Vision Conference (BMVC)


    • Loy C, Xiang T, Gong S (2009), Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model $nameOfConference


    • Loy C, Xiang T, Gong S (2009), Modelling Multi-object Activity by Gaussian Processes British Machine Vision Conference (BMVC)


    • Zheng W, Gong S, Xiang T (2009), Quantifying Contextual Information for Object Detection $nameOfConference


    • Xiang T, Gong SG (2008), Optimising dynamic graphical models for video content analysis $nameOfConference


    • Loy C, Xiang T, Gong S (2008), From Local Temporal Correlation to Global Anomaly Detection $nameOfConference

    • Zelniker E, Gong S, Xiang T (2008), Global Abnormal Behaviour Detection Using a Network of CCTV Cameras $nameOfConference

    • Russell D, Gong S (2008), Multi-Layered Decomposition of Recurrent Scenes $nameOfConference

    • Prosser B, Gong S, Xiang T (2008), Multi-camera Matching under Illumination Change Over Time $nameOfConference

    • Li J, Gong S, Xiang T (2008), Scene Segmentation for Behaviour Correlation $nameOfConference

    • Mei T, Wang Y, Hua XS et al. (2008), Coherent image annotation by learning semantic distance $nameOfConference


    • Russell D, Gong S (2008), Exploiting Periodicity in Recurrent Scenes $nameOfConference


    • Bashir K, Xiang T, Gong S (2008), Feature Selection for Gait Recognition without Subject Cooperation $nameOfConference

    • Li J, Gong S, Xiang T (2008), Global Behaviour Inference using Probabilistic Latent Semantic Analysis $nameOfConference

    • Prosser B, Gong S, Xiang T (2008), Multi-camera Matching Using Bi-Directional Cumulative Brightness Transfer Functions $nameOfConference

    • Pachoud S, Gong S, Cavallaro A (2008), Video Augmentation for Improving Audio Speech Recognition under Noise $nameOfConference

    • Mang T, Gong SG (2008), Activity based surveillance video content modelling $nameOfConference


    • Xiang T, Gong SG (2008), Incremental and adaptive abnormal behaviour detection $nameOfConference


    • Mei T, Wang Y, Hua X et al. (2008), Coherent Image Annotation by Semantic Distance Learning $nameOfConference

    • Shan CF, Gong SG, McOwan PW (2008), Fusing gait and face cues for human gender recognition $nameOfConference


    • Jia K, Gong SG (2008), Generalized face super-resolution $nameOfConference


    • Xiang T, Gong S (2008), Video behavior profiling for anomaly detection. $nameOfConference


    • Bashir K, Xiang T, Gong S (2008), Feature Selection on Gait Energy Image for Human Identification $nameOfConference

    • Xiang T, Gong S (2008), Spectral clustering with eigenvector selection $nameOfConference


    • Bashir K, Xiang T, Gong S (2008), Feature Selection for Gait Recognition without Subject Cooperation British Machine Vision Conference (BMVC)


    • Bashir K, Xiang T, Gong SG (2008), Feature selection on gait energy image for human identification $nameOfConference


    • Li J, Gong S, Xiang T (2008), Global Behaviour Inference Using Probabilistic Latent Semantic Analysis British Machine Vision Conference (BMVC)


    • Pachoud S, Gong S, Cavallaro A (2008), Macro-cuboid based probabilistic matching for lip-reading digits $nameOfConference


    • Prosser B, Gong S (2008), Multi-camera Matching Using Bi-Directional Cumulative Brightness Transfer Functions British Machine Vision Conference (BMVC)


    • Russell D, Gong SG (2008), Multi-layered Decomposition of Recurrent Scenes $nameOfConference


    • Li J, Gong SG, Xiang T (2008), Scene Segmentation for Behaviour Correlation $nameOfConference


    • Pachoud S, Gong S, Cavallaro A (2008), Video augmentation for improving audio speech recognition under noise $nameOfConference


    • Wang Y, Gong S (2007), Translating Topics to Words for Image Annotation $nameOfConference


    • Gong S, Shan C, Xiang T (2007), Visual Inference of Human Emotion and Behaviour $nameOfConference

    • Shan C, Gong S, McOwan P (2007), Beyond Facial Expressions: Learning Human Emotion from Body Gestures $nameOfConference


    • Shan C, Gong S, McOwan P (2007), Capturing Correlations among Facial Parts for Facial Expression Analysis $nameOfConference


    • Wang Y, Gong S (2007), Conditional Random Field for Natural Scene Image Classification $nameOfConference

    • Gong S (2007), Holistic video detection $nameOfConference


    • Russell D, Gong S (2007), Segmenting Highly Textured Nonstationary Background $nameOfConference


    • Wang Y, Gong S (2007), Refining Image Annotation Using Contextual Relations Between Words $nameOfConference


    • Leung A, Gong S (2007), Optimizing Distribution-based Matching by Random Subsampling $nameOfConference

    • (2007), Analysis and Modeling of Faces and Gestures $nameOfConference

    • Wang Y, Gong S (2007), Conditional random field for natural scene categorization $nameOfConference


    • Gong SG (2007), Holistic video detection - art. no. 674103 $nameOfConference


    • Shan CF, Gong SG, McOwan PW (2007), Learning gender from human gaits and faces $nameOfConference


    • Leung AP, Gong SG (2007), Optimizing distribution-based matching by random subsampling $nameOfConference


    • Gong SG, Shan CF, Xiang T (2007), Visual Inference of Human Emotion and Behaviour $nameOfConference


    • Jia K, Gong S (2006), Hallucinating multiple occluded face images of different resolutions $nameOfConference

    • Hung H, Gong S (2006), Classification of human interaction from a distance using salient body behaviour modelling $nameOfConference

    • Jia K, Gong S, Leung A (2006), Coupling face registration and super-resolution $nameOfConference

    • Shan C, Gong S, McOwan P (2006), Dynamic facial expression recognition using a Bayesian temporal manifold model $nameOfConference

    • Leung A, Gong S (2006), Mean-shift tracking with random sampling $nameOfConference

    • Russell D, Gong S (2006), Minimum cuts of a time-varying background $nameOfConference

    • Xiang T, Gong S (2006), Optimal dynamic graphs for video content analysis $nameOfConference

    • Raja Y, Gong S (2006), Sparse multiscale local binary patterns $nameOfConference

    • Gong S, XIANG T (2006), Model Selection for Unsupervised Learning of Visual Context $nameOfConference


    • Xiang T, Gong SG (2006), Model selection for unsupervised learning of visual context $nameOfConference


    • Wang Y, Gong S (2006), Tensor discriminant analysis for view-based object recognition $nameOfConference

    • Shan C, Gong S, McOwan P (2006), A Comprehensive empirical study on linear subspace methods for facial expression analysis $nameOfConference


    • Jia K, Gong S (2006), Multi-resolution patch tensor for facial expression hallucination $nameOfConference


    • Zhang J, Gong S (2006), Beyond static detectors: A Bayesian approach to fusing long-term motion with appearance for robust people detection in highly cluttered scenes $nameOfConference

    • Xiang T, Gong S (2006), Incremental visual behaviour modelling $nameOfConference

    • Xiang T, Gong SG (2006), Beyond tracking: Modelling activity and understanding behaviour $nameOfConference


    • Jia K, Gong S, Leung AP (2006), Coupling face registration and super-resolution $nameOfConference

    • Hung H, Gong SG (2006), Detection of human interaction from a distance using salient body behaviour modelling - art. no. 640203 $nameOfConference


    • Shan C, Gong S, McOwan PW (2006), Dynamic facial expression recognition using a Bayesian temporal manifold model $nameOfConference

    • Leung AP, Gong S (2006), Mean-shift tracking with random sampling $nameOfConference

    • Russell D, Gong S (2006), Minimum cuts of a time-varying background $nameOfConference

    • Xiang T, Gong S (2006), Optimal dynamic graphs for video content analysis British Machine Vision Conference (BMVC)

    • Raja Y, Gong S (2006), Sparse Multiscale Local Binary Patterns Procedings of the British Machine Vision Conference 2006


    • Raja Y, Gong S (2006), Sparse multiscale local binary patterns $nameOfConference

    • Wang Y, Gong SG (2006), Tensor discriminant analysis for view-based object recognition $nameOfConference


    • Russell D, Gong SG (2005), A highly efficient block-based dynamic background model $nameOfConference


    • GONG SS, Zalewski L (2005), A statistical virtual head animator IEE International Conference on Visual Information Engineering


    • GONG SS, Leung A (2005), An optimization framework for real-time appearance-based tracking under weak perspective British Machine Vision Conference


    • GONG S, Zhao W, Tang X (2005), Analysis and Modelling of Faces and Gestures $nameOfConference

    • Shan CF, Gong SG, McOwan PW (2005), Appearance manifold of facial expression $nameOfConference


    • GONG SS, Jia K (2005), CCTV face hallucination under occlusion with motion blur IEE International Symposium on Imaging for Crime Detection and Prevention


    • Gong S, MCOWAN PW, Shan C (2005), Conditional Mutual Information Based Boosting for Facial Expression Recognition British Machine Vision Conference (BMVC'05), Oxford, UK


    • Hung H, Gong S (2005), Detecting and quantifying unusual interactions by correlating salient motion $nameOfConference


    • Jia K, Gong S (2005), Face super-resolution using multiple occluded images of different resolutions $nameOfConference


    • Jia K, Gong S (2005), Multi-modal face image super-resolutions in tensor space $nameOfConference


    • Jia K, Gong SG (2005), Multi-modal tensor face for simultaneous super-resolution and recognition $nameOfConference


    • GONG SS, Leung AP (2005), Multi-view temporal tracking under weak perspective in real-time IEE International Conference on Visual Information Engineering

    • Del Bue A, Llado X, Agapito L (2005), Non-rigid face modelling using shape priors $nameOfConference

    • Leung AP, Gong SG (2005), Online feature selection using mutual information for real-time multi-view object tracking $nameOfConference


    • GONG SS, Xiang T (2005), Online video behaviour abnormality detection using reliability measure British Machine Vision Conference


    • Shan CF, Gong SG, McOwan PW (2005), Recognizing facial expressions at low resolution $nameOfConference


    • Xiang T, Gong SG (2005), Relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling $nameOfConference


    • Shan CF, Gong SG, McOwan PW (2005), Robust facial expression recognition using local binary patterns $nameOfConference


    • Zalewski L, Gong S (2005), Statistical models of facial expressions for realistic 3D avatar animation $nameOfConference


    • GONG SS, Graves A (2005), Surveillance video indexing with iconic patterns of activity IEE International Conference on Visual Information Engineering


    • Xiang T, Gong S (2005), Unsupervised Learning of Visual Context Using Completed Likelihood AIC IEE International Conference on Visual Information Engineering (VIE)

    • GONG SS, Xiang T (2005), Unsupervised learning of visual context using mixture models IEE International Conference on Visual Information Engineering

    • Xiang T, Gong SG (2005), Video behaviour profiling and abnormality detection without manual labelling $nameOfConference


    • Xiang T, Gong S (2005), Visual learning given sparse data of unknown complexity $nameOfConference


    • Gong S (2004), Finding a needle in haystacks: Towards behaviour recognition based video surveillance $nameOfConference

    • Xiang T, Gong S (2004), Activity-based scene representation and segmentation of CCTV surveillance videos $nameOfConference

    • Hung H, Gong S (2004), Quantifying temporal saliency $nameOfConference

    • Graves A, Gong S (2004), Wavelet-based holistic sequence descriptor for generating video summaries $nameOfConference

    • Li YM, Gong SG, Sherrah J et al. (2004), Support vector machine based multi-view face detection and recognition $nameOfConference


    • GONG SS, Zalewski L (2004), A probabilistic hierarchical framework for expression classification Artificial Intelligence and the Simulation of Behaviour Symposium on Language, Speech and Gesture for Expressive Characters

    • Zalewski L, Gong SG (2004), Synthesis and recognition of facial expressions in virtual 3D views $nameOfConference


    • Gong SG (2004), Towards behaviour recognition based video surveillance $nameOfConference


    • Ng J, Gong S (2003), Learning pixel-wise signal energy for understanding semantics $nameOfConference

    • Li Y, Gong S, Liddell H (2003), Recognising trajectories of facial identities using Kernel Discriminant Analysis $nameOfConference

    • Li YM, Gong SG, Liddell H (2003), Recognising trajectories of facial identities using kernel discriminant analysis $nameOfConference


    • Xiang T, Gong S (2003), On the structure of dynamic Bayesian networks for complex scene modelling $nameOfConference

    • Xiang T, Gong S, Parkinson D (2003), Outdoor activity recognition using multi-linked temporal processes $nameOfConference

    • Graves A, Gong S (2003), Spotting scene change for indexing surveillance video $nameOfConference

    • Li YM, Gong SG, Liddell H (2003), Constructing facial identity surfaces for recognition $nameOfConference


    • Gong S, Xiang T (2003), Scene event recognition without tracking $nameOfConference

    • Xiang T, Gong SG (2003), Discovering Bayesian causality among visual events in a complex outdoor scene $nameOfConference


    • (2003), IEEE International Workshop on Analysis and Modelling of Faces and Gestures $nameOfConference

    • GONG SS, Ng J (2003), Learning pixel-wise signal energy for understanding semantics $nameOfConference


    • Gong SG, Xiang T (2003), Recognition of group activities using dynamic Probabilistic networks $nameOfConference


    • Gong SG, Ng J, Sherrah J (2002), On the semantics of visual behaviour, structured events and trajectories of human action $nameOfConference


    • Gong SG, Buxton H (2002), Understanding visual behaviour $nameOfConference


    • Xiang T, Gong S, Parkinson D (2002), Autonomous visual events detection and classification without explicit object-centred segmentation and tracking $nameOfConference

    • Ng J, Gong S (2002), Learning intrinsic video content using Levenshtein distance in graph partitioning $nameOfConference

    • Ng J, Gong SG (2002), Composite support vector machines for detection of faces across views and pose estimation $nameOfConference


    • Psarrou A, Gong SG, Walter M (2002), Recognition of human gestures and behaviour based on motion trajectories $nameOfConference


    • Ong EJ, Gong SG (2002), The dynamics of linear combinations: tracking 3D skeletons of human subjects $nameOfConference


    • Sherrah J, Gong S (2002), Automated detection of localised visual events over varying temporal scales $nameOfConference


    • Chang T-H, Gong S (2002), Bayesian Modality Fusion for tracking multiple people with a multi-camera system $nameOfConference


    • Ng J, Gong S (2002), Composite support vector machines for the detection of faces across views and pose estimation $nameOfConference

    • GONG SS, Romdhani S, Psarrou A (2002), Corresponding dynamic appearances $nameOfConference


    • Ng J, Gong SG (2002), Learning intrinsic video content using Levenshtein distance in graph partitioning $nameOfConference


    • Ng J, Gong SG (2002), On the binding mechanism of synchronised visual events $nameOfConference


    • Psarrou A, Gong S, Walter M (2002), Recognition of human gestures and behaviour $nameOfConference

    • Ong E, Gong S (2002), The dynamics of linear combinations $nameOfConference

    • Sherrah J, Gong S, Ong EJ (2001), Face distributions in similarity space under varying head pose $nameOfConference


    • Walter M, Psarrou A, Gong S (2001), Data driven model acquisition using Minimum Description Length $nameOfConference

    • Li Y, Gong S, Liddell H (2001), Recognising trajectories of facial identities using Kernel Discriminate Analysis $nameOfConference

    • Sherrah J, Gong SG (2001), Fusion of perceptual cues for robust tracking of head pose and position $nameOfConference


    • Walter M, Psarrou A, Gong S (2001), Auto-clustering for unsupervised learning of atomic gesture components using Minimum Description Length $nameOfConference


    • Li Y, Gong S, Liddell H (2001), Constructing structures of facial identities on the view sphere using Kernel Discriminant Analysis $nameOfConference

    • Li Y, Gong S, Liddell H (2001), Video-based online face recognition using identity surfaces $nameOfConference

    • Li YM, Gong SG, Liddell H (2001), Constructing facial identity surfaces in a nonlinear discriminating space $nameOfConference


    • Sherrah J, Gong SG (2001), Continuous global evidence-based Bayesian modality fusion for simultaneous tracking of multiple objects $nameOfConference


    • Li YM, Gong SG, Liddell H (2001), Modelling faces dynamically across views and over time $nameOfConference


    • Chang TH, Gong SG (2001), Tracking multiple people with a multi-camera system $nameOfConference


    • Li YM, Gong SG, Liddell H (2001), Video-based online face recognition using identity surfaces $nameOfConference


    • Romdhani S, Gong S, Psarrou A (2000), A generic face appearance model of shape and texture under very large pose variations from profile to profile views $nameOfConference


    • Romdhani S, Gong S, Psarrou A (2000), A generic face appearance model of shape and texture under very large pose variations from profile to profile views $nameOfConference

    • Sherrah J, Gong S, Howell J et al. (2000), Interpretation of group behaviour in visually mediated interaction $nameOfConference

    • Ong E-J, Gong S (2000), Quantifying ambiguities in inferring vector-based 3D models $nameOfConference

    • Sherrah J, Gong S (2000), Resolving visual uncertainty and occlusion through probabilistic reasoning $nameOfConference

    • Chang T-H, Gong S, Ong E-J (2000), Tracking multiple people under occlusion using multiple cameras $nameOfConference

    • Romdhani S, Psarrou A, Gong S (2000), On utilising template and feature-based correspondence in multi-view appearance models $nameOfConference

    • Sherrah J, Gong S (2000), Tracking discontinuous motion using Bayesian inference $nameOfConference


    • Gong S, McKenna SJ, Psarrou A (2000), Dynamic Vision $nameOfConference


    • Li Y, Gong S, Liddell H (2000), Support vector regression and classification based multi-view face detection and recognition $nameOfConference


    • Walter M, Psarrou A, Gong S (2000), An incremental approach towards automatic model acquisition for human gesture recognition $nameOfConference


    • Gong S, McKenna S, Psarrou A (2000), Dynamic Vision: From Images to Face Recognition $nameOfConference

    • Sherrah J, Gong SG, Howell AJ et al. (2000), Interpretation of group behaviour in visually mediated interaction $nameOfConference


    • Li YM, Gong SG, Sherrah J et al. (2000), Multi-view face detection using support vector machines and eigenspace modelling $nameOfConference


    • Romdhani S, Psarrou A, Gong SG (2000), On utilising template and feature-based correspondence in muli-view appearance models $nameOfConference


    • Sherrah J, Gong SG (2000), VIGOUR: A system for tracking and recognition of multiple people and their activities $nameOfConference


    • Ong E-J, Gong S (1999), A dynamic virtual human model using hybrid 2D and 3D representations $nameOfConference

    • Sherrah J, Gong S (1999), Exploiting context in gesture recognition $nameOfConference


    • Ng J, Gong S (1999), Multi-view based support vector machines for real-time face detection and pose estimation $nameOfConference

    • Romdhani S, Gong S, Psarrou A (1999), Multi-view nonlinear active shape model using Kernel PCA $nameOfConference

    • Romdhani S, Gong S, Psarrou A (1999), Multi-view nonlinear active shape model using kernel PCA $nameOfConference

    • Gong S, Walter M, Psarrou A (1999), Recognition of temporal structures: Learning prior and propagating observation augmented densities via hidden Markov states $nameOfConference


    • Sherrah J, Gong S (1999), Fusion of 2D face alignment and 3D head pose estimation for robust and real-Time performance $nameOfConference


    • Romdhani S, Psarrou A, Gong S (1999), Learning a single active face shape model across views $nameOfConference


    • Ng J, Gong S (1999), Multi-View face detection and pose estimation using a composite support vector machine across the view sphere $nameOfConference


    • Walter M, Gong S, Psarrou A (1999), Stochastic temporal models of human activities $nameOfConference


    • McKenna S, Raja Y, Gong S (1999), Tracking colour objects using adaptive mixture models $nameOfConference

    • Ong EJ, Gong S (1999), Tracking hybrid 2D-3D human models from multiple views $nameOfConference


    • McKenna S, Gong S (1998), Gesture recognition for visually mediated interaction using probabilistic event trajectories $nameOfConference

    • Gong S, Ong E-J, McKenna S (1998), Learning to associate faces across views in vector space of similarities to prototypes $nameOfConference

    • Torre FDL, Gong S, McKenna S (1998), View-based Adaptive Affine Alignment $nameOfConference

    • Raja Y, McKenna S, Gong S (1998), Tracking and segmenting people in varying lighting conditions using colour $nameOfConference

    • Raja Y, McKenna SJ, Gong S (1998), Colour model selection and adaptation in dynamic scenes $nameOfConference


    • McKenna S, Gong S, Raja Y (1998), Modelling facial colour and identity with Gaussian mixtures $nameOfConference

    • McKenna S, Gong S (1998), Real-time face pose estimation $nameOfConference


    • McKenna S, Gong S (1998), Recognising moving faces $nameOfConference


    • Raja Y, McKenna SJ, Gong S (1998), Tracking and segmenting people in varying lighting conditions using colour $nameOfConference


    • Raja Y, McKenna S, Gong S (1998), Using Colour for Robust Tracking and Segmentation $nameOfConference


    • De La Torre F, Gong S, McKenna S (1998), View alignment with dynamically updated affine tracking $nameOfConference


    • de La Torre F, Gong S, McKenna S (1998), View-based adaptive affine tracking $nameOfConference


    • McKenna S, Gong S (1997), Non-intrusive person authentication for access control by visual tracking and face recognition $nameOfConference


    • Gong S, Ong EJ, Loft PJ (1997), Appearance-based face recognition under large head rotations in depth $nameOfConference


    • McKenna SJ, Gong S (1997), Face recognition from sequences using models of identity $nameOfConference


    • McKenna SJ, Raja Y, Gong S (1997), Object tracking using adaptive colour mixture models $nameOfConference


    • Raja Y, McKenna SJ, Gong S (1997), Segmentation and tracking using colour mixture models $nameOfConference


    • McKenna SJ, Gong S, Würtz RP et al. (1997), Tracking facial feature points with Gabor wavelets and shape models $nameOfConference


    • McKenna S, Gong S, Wurtz R et al. (1997), Tracking facial motion using Gabor wavelets and flexible shape models $nameOfConference

    • Gong S, McKenna S, Collins JJ (1996), An investigation into face pose distributions $nameOfConference


    • McKenna S, Gong S (1996), Tracking faces $nameOfConference


    • McKenna S, Gong S, Raja Y (1996), Face recognition in dynamic scenes $nameOfConference

    • Psarrou A, Gong S, Buxton H (1995), Modelling spatio-temporal trajectories and face signatures using partially recurrent neural networks $nameOfConference


    • Gong S, Psarrou A, Katsoulis I et al. (1995), Tracking and Recognition of Face Sequences $nameOfConference


    • Buxton H, Gong S (1995), Visual surveillance in a dynamic and uncertain world $nameOfConference


    • Gong S, Psarrou A, Katsoulis I et al. (1994), Tracking and recognition of face image sequences $nameOfConference

    • Gong S, Buxton H (1993), Bayesian nets for motion segmentation and object tracking $nameOfConference

    • Gong S, Buxton H (1993), From Contextual Knowledge to Computational Constraints Procedings of the British Machine Vision Conference 1993


    • Gong S (1992), Visual behavior: modeling 'hidden' purposes in motion $nameOfConference


    • Gong S, Buxton H (1992), On the visual expectation of moving objects: A probabilistic approach with augmented hidden Markov models $nameOfConference

    • Gong S (1992), Visual observation as reactive learning $nameOfConference


    • Gong S, Brady JM (1990), Parallel computation of optic flow $nameOfConference


    • Gong S (1989), Parallel Computation of Visual Motion $nameOfConference

    • Gong S (1989), On curve motion constraint equation and its applications $nameOfConference

    • Gong S (1988), Improving local flow $nameOfConference

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