Computer Vision & Machine Learning Latest Research

VSL has focused it research in three main areas, maintaining leadership in computer vision & RE-ID, Algorithm Performance and enabling the transformation of AI to a Distributed Machine Learning Platform.


The following are a list of recent research papers:


Maintain Leadership in RE-ID

Wu G, Zhu X, Gong S. "Learning Hybrid Ranking Representation for Person Re-Identification". Pattern Recognition, Vol. 121, 108239, January 2022.

Li Q, Huang J, Gong S. "Local-Global Associative Frame Assemble in Video Re-ID". In Proc. British Machine Vision Conference, November 2021.

Zheng W, Hong J, Jiao J, Wu A, Zhu X, Gong S, Lai J. "Joint Bilateral-Resolution Identity Modelling for Low-Resolution Person Re-Identification". International Journal of Computer Vision, accepted, July 2021.

 

Yin Q, Wang G, Ding G, Gong S, Tang Z. "Multi-View Label Prediction for Unsupervised Learning Person Re-Identification". IEEE Signal Processing Letters, Vol. 28, pp. 1390-1394, June 2021.

 

Li W, Gong S, Zhu X. "Hierarchical Distillation Learning for Scalable Person Search". Pattern Recognition, Vol. 114, 107862, February 2021.

 

Wu G, Gong S. "Generalising without Forgetting for Lifelong Person Re-Identification". In Proc. AAAI  Conference on Artificial Intelligence, February 2021.

 

Zhu X, Li M, Morerio P, Murino V, Gong S. "Intra-Camera Supervised Person Re-Identification". International Journal of Computer Vision, Vol. 129, pp. 1580-1595, February 2021.

 

Cheng Z, Zhu X, Gong S. "Face Re-Identification Challenge: Are Face Recognition Models Good Enough?". Pattern Recognition, Vol. 107, 107422, November 2020.

G. Wang, S. Gong, J. Cheng, Z. Hou. “Faster Person Re-Identification”. In Proc. European Conference on Computer Vision, Glasgow, Scotland, August 2020.

M. Li, X. Zhu, S. Gong. “Unsupervised Tracklet Person Re-Identification”. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 7, pp. 1770-1782, July 2020.


Z. Cheng, Q. Dong, S. Gong, X. Zhu. “Inter-Task Association Critic for Cross-Resolution Person Re-Identification”. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020.


A. Wu, W-S. Zheng, S. Gong, J. Lai. “RGB-IR Person Re-identification by Cross-Modality Similarity Preservation”. International Journal of Computer Vision, Vol. 128, No. 6, pp. 1765-1785, June


W. Li, X. Zhu, S. Gong. “Scalable Person Re-Identification by Harmonious Attention”. International Journal of Computer Vision, International Journal of Computer Vision, Vol. 128, No. 6, pp. 1635-1653, June 2020.


G. Wu, X. Zhu, S. Gong. “Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification”. In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.


Q. Dong, S. Gong, X. Zhu. “Person Search by Text Attribute Query as Zero-Shot Learning”. In Proc. IEEE International Conference on Computer Vision, Seoul, South Korea, October 2019.


Y. Chen, X. Zhu, S. Gong. “Instance-Guided Context Rendering for Cross-Domain Person Re-Identification”. In Proc. IEEE International Conference on Computer Vision, Seoul, South Korea, October 2019.


H-X. Yu, W-S. Zheng, A. Wu, X. Guo, S. Gong, J-H. Lai. “Unsupervised Person Re-Identification by Soft Multilabel Learning”. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, California, USA, June 2019.

Algorithm Performance

Huang J, Liu Y, Gong S, Jin H. "Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

 

Wu G, Gong S, Li P. "Striking a Balance between Stability and Plasticity for Class-Incremental Learning". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Li P, Li D, Li W, Gong S, Fu Y, Hospedales T. "A Simple Feature Augmentation for Domain Generalisation". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Li P, Fu Y, Gong S. "Regularising Knowledge Transfer by Meta Functional Learning". In Proc. International Joint Conference on Artificial Intelligence, Montreal, Canada, August 2021.

Su H, Gong S, Zhu X. "Multi-Perspective Cross-Class Domain Adaptation for Open Logo Detection". Computer Vision and Image Understanding, Vol. 204, 103156, March 2021.


J. Huang, S. Gong, X. Zhu. “Deep Semantic Clustering by Partition Confidence Maximisation”. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020.


W. Li, S. Gong, X. Zhu. “Neural Graph Embedding for Neural Architecture Search”. In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.


J. Huang, Q. Dong, S. Gong, X. Zhu. “Unsupervised Deep Learning via Affinity Diffusion”. In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.


Y. Chen, X. Zhu, W. Li, S. Gong. “Semi-Supervised Learning under Class Distribution Mismatch”. In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.


Q. Dong, S. Gong, X. Zhu. “Imbalanced Deep Learning by Minority Class Incremental Rectification”. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 6, pp. 1367-1381, June 2019.


Distributed Machine Learning Platform

Sun S, Wu G, Gong S. "Decentralised Person Re-Identification with Selective Knowledge Aggregation". In Proc. British Machine Vision Conference, November 2021.

Wu G, Gong S. "Collaborative Optimisation and Aggregation for Decentralised Domain Generalisation and Adaptation". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Huang J, Gong S. "Deep Clustering by Semantic Contrastive Learning". arXiv, March 2021.

Wu G, Gong S. "Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification". In Proc. AAAI Conference on Artificial Intelligence, February 2021.

Wu G, Gong S. "Peer Collaborative Learning for Online Knowledge Distillation". In Proc. AAAI Conference on Artificial Intelligence, February 2021.

J Huang, S Gong. “Unsupervised Transfer Learning with Self-Supervised Remedy”. arXiv, June 2020.

G Wu, S Gong. “Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification”. arXiv, June 2020.

Y. Chen, S. Gong, L. Bazzani. “Image Search with Text Feedback by Visionlinguistic Attention Learning”. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020.


Z. Liu, J. Wang, S. Gong, H. Lu, D. Tao. “Deep Reinforcement Active Learning for Human-In-The-Loop Person Re-Identification”. In Proc. IEEE International Conference on Computer Vision, Seoul, South Korea, October 2019.


J. Huang, Q. Dong, S. Gong, X. Zhu. “Unsupervised Deep Learning by Neighbourhood Discovery”. In Proc. International Conference on Machine Learning, Long Beach, California, USA, June 2019.


X. Lan, X. Zhu, S. Gong. "Self-Referenced Deep Learning". In Proc. Asian Conference on Computer Vision, Perth, Australia, December 2018.


X. Lan, X. Zhu, S. Gong. "Knowledge Distillation by On-the-Fly Native Ensemble". In Proc. Conference on Neural Information Processing Systems, Montreal, Canada, December 2018.

Contact Us For a Free Trial

Get in touch today for a free trial of our industry leading, deep learning AI solutions. Implement our AI enhancing platform into any video software for CCTV and surveillance.