Dr Hyung Jin Chang PhD

Dr Hyung Jin Chang

School of Computer Science
Lecturer in Computer Science

Contact details

Email
h.j.chang@bham.ac.uk
View my research portal
Address
The School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Hyung Jin Chang was appointed as a Lecturer in the School of Computer Science at the University of Birmingham in 2018. He received a PhD in machine learning and computer vision at Perception and Intelligence Lab, Seoul National University, in 2013. As a post-doctoral researcher, he worked at Imperial College London and was involved in several EU projects (EU FP7 GRANT 612139 and EU H2020 GRANT 643783) and industry projects (Samsung Electronics and Samsung GRO Grant).

For more information on Hyung Jin please see the link below:

Dr Hyung Jin Chang's-personal webpage

Qualifications

  • PhD in Seoul National University 2013

  • BSc in Seoul National University 2006

Biography

Hyung Jin Chang qualified with a BSc in Electrical and Computer Engineering from Seoul National University in 2006, and PhD in Electrical Engineering and Computer Science from Seoul National University in 2013. Before joining the University of Birmingham, he was a post-doctoral researcher at Imperial College London.

Research

Dr Hyung Jin Chang’s research combines multiple areas of artificial intelligence including computer vision, machine learning, robotics, and human-robot interaction. Recently, his research has focused on exploiting and making advances in robot vision, and learning techniques to move toward intelligent interaction human-robot interaction via visual data. In particular, he is interested in human-centred visual learning covering from estimating human hand, body pose, and gaze to understanding human action and internal states.

Publications

Recent publications

Article

Gao, Y, Chang, HJ & Demiris, Y 2020, 'User modelling using multimodal information for personalised dressing assistance', IEEE Access, vol. 8, pp. 45700-45714. https://doi.org/10.1109/ACCESS.2020.2978207

Conference article

Chen, W, Jia, X, Chang, HJ, Duan, J & Leonardis, A 2020, 'G2L-Net:Global to local network for real-time 6D pose estimation with embedding vector features', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4232-4241. https://doi.org/10.1109/CVPR42600.2020.00429

Conference contribution

Chen, H & Chang, HJ 2021, Apparently irrational choice as optimal sequential decision making. in AAAI'21 Proceedings of the Thirty-fifth AAAI Conference on Artificial Intelligence. AAAI Press.

Chen, W, Jia, X, Chang, HJ, Duan, J, Shen, L & Leonardis, A 2021, FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism. in Conference on Computer Vision and Pattern Recognition.

Na, J, Jung, H, Chang, HJ & Hwang, W 2021, FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. in Conference on Computer Vision and Pattern Recognition.

Park, J, Cho, J, Chang, HJ & Choi, JY 2021, Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders. in Conference on Computer Vision and Pattern Recognition. IEEE.

Choi, J, Yi, KM, Kim, J, Choo, J, Kim, B, Chang, J, Gwon, Y & Chang, HJ 2021, VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning. in Conference on Computer Vision and Pattern Recognition.

Lim, J, Um, D, Chang, HJ, Jo, DU & Choi, JY 2020, Class-attentive diffusion network for semi-supervised classification. in AAAI'21 Proceedings of the Thirty-fifth AAAI Conference on Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, AAAI Press.

Kim, KI, Richardt, C & Chang, HJ 2020, Combining Task Predictors via Enhancing Joint Predictability. in Computer Vision - ECCV 2020: 16th European Conference, Glasgow, UK, Agust 23-28 2020, Proceedings. Lecture Notes in Computer Science, Springer, 16th European Conference on Computer Vision (ECCV2020), Virtual Event, 23/08/20.

Chen, W, Duan, J, Basevi, H, Chang, HJ & Leonardis, A 2020, PointPoseNet:Point pose network for robust 6D object pose estimation. in Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020., 9093272, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Institute of Electrical and Electronics Engineers (IEEE), pp. 2813-2822, 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, United States, 1/03/20. https://doi.org/10.1109/WACV45572.2020.9093272

Yang, J, Chang, HJ, Lee, S & Kwak, N 2020, SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. in Computer Vision - ECCV 2020: 16th European Conference, Glasgow , UK, August 23-28 2020, Proceedings. Lecture Notes in Computer Science, Springer, 16th European Conference on Computer Vision (ECCV2020), Virtual Event, 23/08/20.

Park, J, Lee, M & Chang, HJ 2020, Symmetric graph convolutional autoencoder for unsupervised graph representation learning. in 2019 IEEE/CVF International Conference on Computer Vision (ICCV). CVF International Conference on Computer Vision (ICCV), IEEE Computer Society, IEEE International Conference on Computer Vision (ICCV 2019), Seoul, Korea, Democratic People's Republic of, 27/10/19. https://doi.org/10.1109/ICCV.2019.00662

Ramsay, J & Chang, HJ 2019, Body Pose Sonification for a View-Independent Auditory Aid to Blind Rock Climbers. in 2020 Winter Conference on Applications of Computer Vision (WACV ’20). IEEE Computer Society.

Kim, KI & Chang, HJ 2019, Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. in 2019 Conference on Computer Vision and Pattern Recognition (CVPR). Springer, pp. 7549-7557, 2019 Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, United States, 16/06/19. <http://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Joint_Manifold_Diffusion_for_Combining_Predictions_on_Decoupled_Observations_CVPR_2019_paper.pdf>

Lim, J, Chang, HJ & Choi, JY 2019, PMnet: learning of disentangled pose and movement for unsupervised motion retargeting. in Proceedings of the 30th British Machine Vision Conference (BMVC 2019). British Machine Vision Association, BMVA, 30th British Machine Vision Conference (BMVC 2019), Cardiff, United Kingdom, 9/09/19. <https://bmvc2019.org/wp-content/uploads/papers/0997-paper.pdf>

View all publications in research portal