Dr Hyung Jin Chang PhD

Dr Hyung Jin Chang

School of Computer Science
Associate Professor
Head of External Partnerships of Computer Science

Contact details

Address
The School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Hyung Jin Chang is an associate professor in the School of Computer Science at the University of Birmingham. 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).

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

Kim, B, Kim, J, Chang, HJ & Oh, T-H 2025, 'A unified framework for unsupervised action learning via global-to-local motion transformer', Pattern Recognition, vol. 159, 111118. https://doi.org/10.1016/j.patcog.2024.111118

Conference contribution

Fan, Z, Ohkawa, T, Yang, L, Lin, N, Zhou, Z, Zhou, S, Liang, J, Gao, Z, Zhang, X, Zhang, X, Li, F, Liu, Z, Lu, F, Zeid, KA, Leibe, B, On, J, Baek, S, Prakash, A, Gupta, S, He, K, Sato, Y, Hilliges, O, Chang, HJ & Yao, A 2024, Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects. in Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXV. Lecture Notes in Computer Science, vol. 15083, Springer, pp. 428–448, 18th European Conference on Computer Vision, Milan, Italy, 29/09/24. https://doi.org/10.48550/arXiv.2403.16428, https://doi.org/10.1007/978-3-031-72698-9_25

Feng, R, Gao, Y, Tse, THE, Ma, X & Chang, HJ 2024, DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation. in 2023 IEEE/CVF International Conference on Computer Vision (ICCV)., 10378477, Proceedings of the IEEE International Conference on Computer Vision, IEEE, pp. 14815-14826, 2023 International Conference on Computer Vision, Paris, France, 2/10/23. https://doi.org/10.1109/ICCV51070.2023.01365

Kim, T, Na, J, Hwang, J, Chang, HJ & Hwang, W 2024, Dual Prototype-driven Objectness Decoupling for Cross-Domain Object Detection in Urban Scene. in Computer Vision – ACCV 2024. Lecture Notes in Computer Science, Springer, 17th Asian Conference on Computer Vision, Hanoi, Viet Nam, 8/12/24.

Chen, X, Huang, Q, Hou, Y, Wu, J, Zhang, F, Chang, HJ & Jiao, J 2024, Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation. in Computer Vision – ACCV 2024. Lecture Notes in Computer Science, Springer, 17th Asian Conference on Computer Vision, Hanoi, Viet Nam, 8/12/24.

Zheng, L, Tse, THE, Wang, C, Sun, Y, Chen, H, Leonardis, A, Zhang, W & Chang, HJ 2024, GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement. in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, pp. 10693-10703, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, Washington, United States, 17/06/24.

Kim, B, Kim, J, Chang, HJ & Choi, JY 2024, MoST: Motion Style Transformer Between Diverse Action Contents. in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 1705-1714, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 17/06/24. https://doi.org/10.1109/CVPR52733.2024.00168

Hou, Y, Zhang, Z, Horanyi, N, Moon, J, Cheng, Y & Chang, HJ 2024, Multi-Modal Gaze Following in Conversational Scenarios. in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision (WACV), IEEE, pp. 1175-1184, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, United States, 3/01/24. https://doi.org/10.48550/arXiv.2311.05669, https://doi.org/10.1109/WACV57701.2024.00122

Zhang, Z, Song, J, Pérez-Pellitero, E, Zhou, Y, Chang, HJ & Leonardis, A 2024, NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction. in 2024 International Conference on 3D Vision (3DV). International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), IEEE, pp. 387-396, 2024 International Conference on 3D Vision (3DV), Davos, Switzerland, 18/03/24. https://doi.org/10.48550/arXiv.2402.05532, https://doi.org/10.1109/3DV62453.2024.00091

Zhang, Z, Wang, H, Yu, Z, Cheng, Y, Yao, A & Chang, HJ 2024, NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model. in A Leonardis, E Ricci, S Roth, O Russakovsky, T Sattler & G Varol (eds), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII. 1 edn, Lecture Notes in Computer Science, vol. 15086, Springer, pp. 284–300. https://doi.org/10.48550/arXiv.2407.12727

Tse, THE, Mueller, F, Shen, Z, Tang, D, Beeler, T, Dou, M, Zhang, Y, Petrovic, S, Chang, HJ, Taylor, J & Doosti, B 2024, Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images. in 2023 IEEE/CVF International Conference on Computer Vision (ICCV)., 10377643, Proceedings of the IEEE International Conference on Computer Vision, IEEE, pp. 14620-14631, 2023 International Conference on Computer Vision, Paris, France, 2/10/23. https://doi.org/10.1109/ICCV51070.2023.01348

Wang, H, Zhang, Z, Cheng, Y & Chang, HJ 2024, TextGaze: Gaze-Controllable Face Generation with Natural Language. in MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. Association for Computing Machinery (ACM), 32nd ACM International Conference on Multimedia, Melbourne, Victoria, Australia, 28/10/24. <https://arxiv.org/pdf/2404.17486>

Cheng, Y, Zhu, Y, Wang, Z, Hao, H, Liu, Y, Cheng, S, Wang, X & Chang, HJ 2024, What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation. in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 1556-1565, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 17/06/24. https://doi.org/10.1109/CVPR52733.2024.00154

Jeong, U, Baek, S, Chang, HJ & Kim, KI 2023, BoIR: Box-Supervised Instance Representation for Multi Person Pose Estimation. in 34th British Machine Vision Conference 2023, {BMVC} 2023, Aberdeen, UK, November 20-24, 2023., 763, British Machine Vision Association, The 34th British Machine Vision Conference, Aberdeen, United Kingdom, 20/11/23. <https://proceedings.bmvc2023.org/763/>

Preprint

Xu, C, Huang, Q, Hou, Y, Wu, J, Zhang, F, Chang, HJ & Jiao, J 2024 'Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation' arXiv, pp. 17. https://doi.org/10.48550/arXiv.2410.09254

View all publications in research portal