Dr. Hyung Jin Chang
Associate Professor @ University of Birmingham
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Biography
I am a Associate Professor of the School of Computer Science at the University of Birmingham and a Turing Fellow of the Alan Turing Institute. My research interests are focused on human-centred visual learning, especially in application to human-robot interaction. Computer vision and machine learning including deep learning are my expertise research area.
I am always looking for fully motivated & talented PhD students!
Contact Me
- Office: Room 107, School of Computer Science
- E-mail: H.J.Chang@bham.ac.uk
- Phone: +44(0)121 414 7264
News
- Jun 2022 - I will co-organise Eye Gaze workshop “GAZE2022: The 4th International Workshop on Gaze Estimation and Prediction in the Wild” at CVPR 2022.
- Mar 2022 - One paper is accepted to CVPR 2022.
- Feb 2022 - One paper is accepted to Pattern Recognition.
- Feb 2022 - One paper is accepted to ICRA 2022.
- Oct 2021 - I am appointed as Turing Fellow of the Alan Turing Institute.
- Oct 2021 - One paper is accepted to WACV 2022.
- May 2021 - One paper is accepted to MICCAI 2021.
- Mar 2021 - Four papers is accepted to CVPR 2021 (1 Oral + 3 Poster).
- Mar 2021 - I will co-organise Eye Gaze workshop “VOT2021 Challenge” at ICCV 2021.
- Dec 2020 - I will co-organise Eye Gaze workshop GAZE 2021: The 3rd International Workshop on Gaze Estimation and Prediction in the Wild at CVPR 2021.
- Dec 2020 - Two papers is accepted to AAAI 2021.
- Dec 2020 - I will be serving as Senior Program Chair (Area Chair) for AAAI 2021.
Selected Publications
- TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-EncodersIn 2022 IEEE International Conference on Robotics and Automation (ICRA) 2022
- Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image CroppingElsevier Pattern Recognition 2022
- Vab-al: Incorporating class imbalance and difficulty with variational bayes for active learningIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021
- Highly articulated kinematic structure estimation combining motion and skeleton informationIEEE Transactions on Pattern Analysis and Machine Intelligence 2018
- Learning kinematic structure correspondences using multi-order similaritiesIEEE transactions on pattern analysis and machine intelligence 2017
- Latent regression forest: structured estimation of 3d hand posesIEEE Transactions on Pattern Analysis and Machine Intelligence 2016