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

Horanyi, N, Hou, Y, Leonardis, A & Chang, HJ 2023, 'G-DAIC: A Gaze Initialized Framework for Description and Aesthetic-Based Image Cropping', Proceedings of the ACM on Human-Computer Interaction, vol. 7, no. ETRA, 163, pp. 1-19. https://doi.org/10.1145/3591132

Kim, YM, Han, K, Lee, W-K, Chang, HJ & Hwang, SO 2023, 'Non-Zero Grid for Accurate 2-Bit Additive Power-of-Two CNN Quantization', IEEE Access, vol. 11, 10087209, pp. 32051-32060. https://doi.org/10.1109/ACCESS.2023.3259959

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

Jeong, U, Baek, S, Chang, HJ & Kim, KI 2023, BoIR: Box-Supervised Instance Representation for Multi Person Pose Estimation. in The 34th British Machine Vision Conference Proceedings. British Machine Vision Association, The 34th British Machine Vision Conference, Aberdeen, United Kingdom, 20/11/23.

Zhu, X, Wang, X, Freer, J, Chang, HJ & Gao, Y 2023, Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation. in 2023 IEEE International Conference on Robotics and Automation (ICRA)., 10160268, IEEE International Conference on Robotics and Automation, IEEE, pp. 9471-9477, 2023 IEEE International Conference on Robotics and Automation, London, United Kingdom, 29/05/23. https://doi.org/10.1109/ICRA48891.2023.10160268

Qie, J, Gao, Y, Feng, R, Wang, X, Yang, J, Dasgupta, E, Chang, HJ & Chang, Y 2023, Cross-domain representation learning for clothes unfolding in robot-assisted dressing. in Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022. Proceedings, Part VI. Lecture Notes in Computer Science, vol. 13806, Springer, Cham, pp. 658-671, Tenth International Workshop on Assistive Computer Vision and Robotics, Tel Aviv, Israel, 24/10/22. https://doi.org/10.1007/978-3-031-25075-0

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

Zheng, L, Wang, C, Sun, Y, Dasgupta, E, Chen, H, Leonardis, A, Zhang, W & Chang, HJ 2023, HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation. in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, pp. 17163-17173, 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, British Columbia, Canada, 18/06/23.

Wang, H, Zhang, Z, Cheng, Y & Chang, HJ 2023, High-Fidelity Eye Animatable Neural Radiance Fields for Human Face. in The 34th British Machine Vision Conference Proceedings. British Machine Vision Association, The 34th British Machine Vision Conference, Aberdeen, United Kingdom, 20/11/23.

Tse, THE, Mueller, F, Shen, Z, Tang, D, Beeler, T, Dou, M, Zhang, Y, Petrovic, S, Chang, HJ, Taylor, J & Doosti, B 2023, 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). Proceedings of the IEEE International Conference on Computer Vision, IEEE, 2023 International Conference on Computer Vision, Paris, France, 2/10/23.

Zhang, Z, Chen, W, Zheng, L, Leonardis, A & Chang, HJ 2023, Trans6D: transformer-based 6D object pose estimation and refinement. in L Karlinsky, T Michaeli & K Nishino (eds), Computer Vision – ECCV 2022 Workshops. 1 edn, Lecture Notes in Computer Science, vol. 13808, Springer, Cham, pp. 112–128, 7th International Workshop on Recovering 6D Object Pose, Tel-Aviv, Israel, 23/10/22. https://doi.org/10.1007/978-3-031-25085-9_7

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, Institute of Electrical and Electronics Engineers (IEEE), pp. 1645-1664, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, United States, 19/06/22. https://doi.org/10.1109/CVPR52688.2022.00171

Na, J, Han, D, Chang, HJ & Hwang, W 2022, Contrastive vicinal space for unsupervised domain adaptation. in S Avidan, G Brostow, M Cissé, GM Farinella & T Hassner (eds), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXIV. 1 edn, Lecture Notes in Computer Science, vol. 13694, Springer, pp. 92–110, 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22. https://doi.org/10.1007/978-3-031-19830-4_6

Kim, B, Chang, HJ, Kim, J & Choi, J-Y 2022, Global-local motion transformer for unsupervised skeleton-based action learning. in S Avidan, G Brostow, M Cissé, GM Farinella & T Hassner (eds), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IV. 1 edn, Lecture Notes in Computer Science, vol. 13664, Springer, pp. 209–225, 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22. https://doi.org/10.1007/978-3-031-19772-7_13

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

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