Dr Hyung Jin Chang PhD

Dr Hyung Jin Chang

School of Computer Science
Associate Professor

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).

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

Horanyi, N, Xia, K, Yi, KM, Bojja, AK, Leonardis, A & Chang, HJ 2022, 'Repurposing existing deep networks for caption and aesthetic-guided image cropping', Pattern Recognition, vol. 126, 108485, pp. 108485. https://doi.org/10.1016/j.patcog.2021.108485

Conference contribution

Tse, THE, Kim, KI, Leonardis, A & Chang, HJ 2022, Collaborative learning for hand and object reconstruction with attention-guided graph convolution. in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition., IEEE, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, United States, 19/06/22.

Na, J, Han, D, Chang, HJ & Hwang, W 2022, Contrastive vicinal space for unsupervised domain adaptation. in European Conference on Computer Vision. 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22.

Qie, J, Gao, Y, Feng, R, Wang, X, Yang, J, Dasgupta, E, Chang, HJ & Chang, Y 2022, Cross-domain representation learning for clothes unfolding in robot-assisted dressing. in Tenth International Workshop on Assistive Computer Vision and Robotics. Tenth International Workshop on Assistive Computer Vision and Robotics, Tel Aviv, Israel, 24/10/22.

Kim, B, Chang, HJ, Kim, J & Choi, J-Y 2022, Global-local motion transformer for unsupervised skeleton-based action learning. in European Conference on Computer Vision. 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22.

Freer, J, Yi, KM, Jiang, W, Choi, J & Chang, HJ 2022, Novel-view synthesis of human tourist photos. in L O’Conner (ed.), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)., 9706936, Proceedings. IEEE Workshop on Applications of Computer Vision, IEEE, pp. 857-864, Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, United States, 4/01/22. https://doi.org/10.1109/WACV51458.2022.00093

Tse, THE, Zhang, Z, Kim, KI, Leonardis, A, Zheng, F & Chang, HJ 2022, S2 contact: graph-based network for 3d hand-object contact estimation with semi-supervised learning. in European Conference on Computer Vision. 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22.

Oh, JO, Chang, HJ & Choi, S-I 2022, Self-attention with convolution and deconvolution for efficient eye gaze estimation from a full face image. in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, IEEE, pp. 4988-4996, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, United States, 19/06/22. https://doi.org/10.1109/CVPRW56347.2022.00547

Zheng, L, Leonardis, A, Tse, THE, Horanyi, N, Chen, H, Zhang, W & Chang, HJ 2022, TP-AE: temporally primed 6D object pose tracking with auto-encoders. in 2022 IEEE International Conference on Robotics and Automation (ICRA). vol. 2022, IEEE International Conference on Robotics and Automation, IEEE, pp. 10616-10623, 2022 IEEE International Conference on Robotics and Automation (ICRA), Philadelphia , Pennsylvania, United States, 23/05/22. https://doi.org/10.1109/ICRA46639.2022.9811890

Yang, J, Zhang, Z, Li, Z, Chang, HJ, Leonardis, A & Zheng, F 2022, Towards generic 3D tracking in RGBD videos: benchmark and baseline. in European Conference on Computer Vision. 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22.

Zhang, Z, Chen, W, Zheng, L, Leonardis, A & Chang, HJ 2022, Trans6D: transformer-based 6D object pose estimation and refinement. in 7th International Workshop on Recovering 6D Object Pose. 7th International Workshop on Recovering 6D Object Pose, Tel-Aviv, Israel, 23/10/22.

Chen, H, Chang, HJ & Howes, A 2021, Apparently irrational choice as optimal sequential decision making. in AAAI'21 Proceedings of the Thirty-fifth AAAI Conference on Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, no. 1, vol. 35, AAAI Press, pp. 792-800, 35th AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2/02/21. <https://ojs.aaai.org/index.php/AAAI/article/view/16161>

Lim, J, Um, D, Chang, HJ, Jo, DU & Choi, JY 2021, 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, no. 10, vol. 35, AAAI Press, pp. 8601-8609, 35th AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2/02/21. <https://ojs.aaai.org/index.php/AAAI/article/view/17043>

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 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition., IEEE, pp. 1581 - 1590, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, United States, 21/06/21. https://doi.org/10.1109/CVPR46437.2021.00163

Na, J, Jung, H, Chang, HJ & Hwang, W 2021, FixBi: bridging domain spaces for unsupervised domain adaptation. in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition., IEEE, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, United States, 21/06/21. https://doi.org/10.1109/CVPR46437.2021.00115

View all publications in research portal

Culture and collections

Schools, institutes and departments

Services and facilities