Recent publications
Article
Chang, HJ & Demiris, Y 2018, 'Highly articulated kinematic structure estimation combining motion and skeleton information', IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 40, no. 9, pp. 2165-2179. https://doi.org/10.1109/TPAMI.2017.2748579
Chang, HJ, Fischer, T, Petit, M, Zambelli, M & Demiris, Y 2017, 'Learning kinematic structure correspondences using multi-order similarities', IEEE Transactions on Pattern Analysis and Machine Intelligence . https://doi.org/10.1109/TPAMI.2017.2777486
Moulin-frier, C, Fischer, T, Petit, M, Pointeau, G, Puigbo, J, Pattacini, U, Low, SC, Camilleri, D, Nguyen, P, Hoffmann, M, Chang, HJ, Zambelli, M, Mealier, A, Damianou, A, Metta, G, Prescott, TJ, Demiris, Y, Dominey, PF & Verschure, PFMJ 2017, 'DAC-h3: A proactive robot cognitive architecture to acquire and express knowledge about the world and the self', IEEE Transactions on Cognitive and Developmental Systems. https://doi.org/10.1109/TCDS.2017.2754143
Conference contribution
Park, J, Lee, M & Chang, HJ 2019, Symmetric graph convolutional autoencoder for unsupervised graph representation learning. in Proceedings of the IEEE International Conference on Computer Vision (ICCV 2019). IEEE Computer Society, IEEE International Conference on Computer Vision (ICCV 2019), Seoul, Korea, Democratic People's Republic of, 27/10/19.
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.
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.
Choi, J, Chang, HJ, Fischer, T, Yun, S, Lee, K, Jeong, J, Demiris, Y & Choi, JY 2018, Context-aware deep feature compression for high-speed visual tracking. in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition), IEEE Computer Society, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, United States, 18/06/18. https://doi.org/10.1109/CVPR.2018.00057
Fischer, T, Chang, HJ & Demiris, Y 2018, RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments. in Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV. Lecture Notes in Computer Science, vol. 11219, Springer, pp. 334-352, The European Conference on Computer Vision (ECCV), 2018, Munich, Germany, 8/09/18. https://doi.org/10.1007/978-3-030-01267-0
Nguyen, PDH, Fischer, T, Chang, HJ, Pattacini, U, Metta, G & Demiris, Y 2018, Transferring visuomotor learning from simulation to the real world for manipulation tasks in a humanoid robot. in IEEE/RSJ Conference on Intelligent Robots and Systems (IROS 2018). IEEE Computer Society, IEEE/RSJ Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 1/10/18.
Choi, J, Chang, HJ, Yun, S, Fischer, T, Demiris, Y & Choi, JY 2017, Attentional Correlation Filter Network for Adaptive Visual Tracking. in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, pp. 4828-4837, 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii, United States, 21/07/17. https://doi.org/10.1109/CVPR.2017.513
Yoo, Y, Yun, S, Chang, HJ, Demiris, Y & Choi, JY 2017, Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, pp. 2943-2952, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21/07/17. https://doi.org/10.1109/CVPR.2017.314
Gao, Y, Chang, HJ & Demiris, Y 2016, Iterative path optimisation for personalised dressing assistance using vision and force information. in Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Computer Society, pp. 4398-4403, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon, Korea, Republic of, 9/10/16. https://doi.org/10.1109/IROS.2016.7759647
Discussion paper
Wang, R, Cully, A, Chang, HJ & Demiris, Y 2017 'MAGAN: Margin Adaptation for Generative Adversarial Networks' CoRR (Computing Research Repository), Cornell University Library.
Paper
Zambelli, M, Fischer, T, Petit, M, Chang, HJ, Cully, A & Demiris, Y 2016, 'Towards Anchoring Self-Learned Representations to Those of Other Agents', Paper presented at Workshop on Bio-inspired Social Robot Learning in Home Scenarios, Daejeon, Korea, Republic of, 10/10/16 - 10/10/16.
Patent
Han, JJ, Tang, D, Kim, TK, Han, SJ, Yoo, BI, Choi, CK, Tejani, A & Chang, HJ 2017, 깊이 영상을 이용하는 추정기 학습 방법 및 자세 추정 방법, Patent No. KR101758064000, IPC No. G06T 7/20 and G06T 7/00.
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