Biography

  • I am currently an Associate Professor in Guangdong University of Technology. Before that, I obtained my PHD. degree at Human Cyber Physical Intelligence Integration Lab of Sun Yat-Sen University advised by Prof. Liang Lin. I received my Bachelor Degree from Sun Yat-sen University in 2013. I lead the Research Center in Dark Matter Intelligent Technology Co., LTD (2019.01-2021.11). I also worked as a research assistant (2016.06-2017.06) in The Hong Kong Polytechnic University under the guidance of Prof. Lei Zhang.

    Email: tianshuichen(at)gmail.com

    CV Google Scholar Github

News

  • 12/2022: One paper is accepted by TMM 2023.

  • 07/2022: One paper is accepted by ACM MM 2022.

  • 01/2022: One paper is accepted by TNNLS 2022.

  • 12/2021: Two papers are accepted by AAAI 2022.

  • 11/2021: One paper is accepted by TPAMI 2021.

  • 02/2021: One paper is accepted by ICRA 2021.

  • 09/2020: One paper is accepted by TPAMI.

  • 09/2020: The codes of our proposed AGRA and current cross-domain facial expression recognition methods are available.

  • 07/2020: Three papers are accepted by ACM MM 2020, with two oral and one poster.

  • 07/2020: One paper is accepted by TMM.

  • 06/2020: One paper is accepted by Neurocomputing.

  • 05/2020: Code and trained models for our ACM MM paper "Efficient Crowd Counting with Structured Knowledge Transfer" are available.

  • 11/2019: One paper are accepted by AAAI 2020 as oral presentation.

  • 09/2019: Code and trained models for the ICCV paper "Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition" are available.

  • 07/2019: Two papers are accepted by ICCV 2019.

  • 03/2019: One paper is accepted by ICME 2019.

  • 02/2019: Two papers are accepted by CVPR 2019.

Research Interest

    Computer Vision

  • General/fine-Grained image classification

  • Social relationship classification

  • Object proposal generation

  • Salient object detection

    Machine Learning

  • Deep learning

  • Deep reinforcement learning

  • Knowledge representation learning

Academic Services

    Reviewer for

  • Journals including TPAMI, TNNLS, TIP, TMM, PR, Neurocomputing, etc.

  • Conferences including ICCV, CVPR, ECCV, AAAI, IJCAI, etc.

Selected Honors & Awards

  • 2017 Graduate National Scholarship

  • ICME 2017 World's FIRST 10K Best Paper Award--Diamond Award [Link]

  • The Eleventh Place, DET Task, Imagenet Large Scale Visual Recognition Challenge (ILSVRC) 2015 [Link]

  • The Third Place, CLS-LOC Task, Imagenet Large Scale Visual Recognition Challenge (ILSVRC) 2014 [Link]