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

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


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

 

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.
 

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