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

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

Jia, X, Thorley, A, Chen, W, Qiu, H, Shen, L, Styles, IB, Chang, HJ, Leonardis, A, De Marvao, A, O'Regan, DP, Rueckert, D & Duan, J 2021, 'Learning a Model-Driven Variational Network for Deformable Image Registration', IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3108881

Lee, K, Chang, HJ, Choi, J, Heo, B, Leonardis, A & Choi, JY 2021, 'Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles', Machine Vision and Applications, vol. 32, no. 3, 54. https://doi.org/10.1007/s00138-021-01181-x

Cho, H, Kim, T, Chang, HJ & Hwang, W 2021, 'Self-supervised visual learning by variable playback speeds prediction of a video', IEEE Access, vol. 9, 9443174, pp. 79562-79571. https://doi.org/10.1109/ACCESS.2021.3084840

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.

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

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). IEEE International Conference on Robotics and Automation, IEEE, 2022 IEEE International Conference on Robotics and Automation (ICRA), Philadelphia , Pennsylvania, United States, 23/05/22.

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

Thorley, A, Jia, X, Chang, HJ, Liu, B, Bunting, K, Stoll, V, de Marvao, A, O’Regan, DP, Gkoutos, G, Kotecha, D & Duan, J 2021, Nesterov accelerated ADMM for fast diffeomorphic image registration. in M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12904 LNCS, Springer, pp. 150-160, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 27/09/21. https://doi.org/10.1007/978-3-030-87202-1_15

Park, J, Cho, J, Chang, HJ & Choi, JY 2021, Unsupervised hyperbolic representation learning via message passing auto-encoders. 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/CVPR46437.2021.00547

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 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition., IEEE, pp. 6745 - 6754, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, United States, 21/06/21. https://doi.org/10.1109/CVPR46437.2021.00668

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.

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