HCVL@UoB

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

CVPR’22

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

Tse, Tze Ho Elden, Kim, Kwang In, Leonardis, Ales, and Chang, Hyung Jin

In IEEE Computer Vision and Pattern Recognition (CVPR) 2022

arXiv Video Code Website
ICRA’22

TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders

Zheng, Linfang, Leonardis, Ales, Tse, Tze Ho Elden, Horanyi, Nora, Chen, Hua, Zhang, Wei, and Chang, Hyung Jin

In 2022 IEEE International Conference on Robotics and Automation (ICRA) 2022

Paper
PR’22

Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping

Horanyi, Nora, Xia, Kedi, Yi, Kwang Moo, Bojja, Abhishake Kumar, Leonardis, Aleš, and Chang, Hyung Jin

Elsevier Pattern Recognition 2022

arXiv
WACV’22

Novel-View Synthesis of Human Tourist Photos

Freer, Jonathan, Yi, Kwang Moo, Jiang, Wei, Choi, Jongwon, and Chang, Hyung Jin

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2022

Paper Video
CVPR’21

Vab-al: Incorporating class imbalance and difficulty with variational bayes for active learning

Choi, Jongwon, Yi, Kwang Moo, Kim, Jihoon, Choo, Jinho, Kim, Byoungjip, Chang, Jinyeop, Gwon, Youngjune, and Chang, Hyung Jin

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021

arXiv
TPAMI’18

Highly articulated kinematic structure estimation combining motion and skeleton information

Chang, Hyung Jin, and Demiris, Yiannis

IEEE Transactions on Pattern Analysis and Machine Intelligence 2018

Paper
TPAMI’17

Learning kinematic structure correspondences using multi-order similarities

Chang, Hyung Jin, Fischer, Tobias, Petit, Maxime, Zambelli, Martina, and Demiris, Yiannis

IEEE transactions on pattern analysis and machine intelligence 2017

Paper
TPAMI’16

Latent regression forest: structured estimation of 3d hand poses

Tang, Danhang, Chang, Hyung Jin, Tejani, Alykhan, and Kim, Tae-Kyun

IEEE Transactions on Pattern Analysis and Machine Intelligence 2016

Paper