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Learning a Model-Driven Variational Network for Deformable Image Registration


May 25, 2021
Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders


Mar 30, 2021
Jiwoong Park, Junho Cho, Hyung Jin Chang, Jin Young Choi


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FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism


Mar 12, 2021
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis

* accepted by CVPR2021, oral 

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Combining Task Predictors via Enhancing Joint Predictability


Jul 15, 2020
Kwang In Kim, Christian Richardt, Hyung Jin Chang


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SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation


Jul 10, 2020
John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak


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Class-Attentive Diffusion Network for Semi-Supervised Classification


Jun 18, 2020
Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi

* Submitted to NeurIPS 2020 

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Implications of Human Irrationality for Reinforcement Learning


Jun 07, 2020
Haiyang Chen, Hyung Jin Chang, Andrew Howes

* 12 pages, 5 figures 

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G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features


Mar 26, 2020
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis

* 10 pages, 11 figures, accepted in CVPR 2020 

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VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning


Mar 25, 2020
Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jincho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang


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Self-Supervised Spatio-Temporal Representation Learning Using Variable Playback Speed Prediction


Mar 05, 2020
Hyeon Cho, Taehoon Kim, Hyung Jin Chang, Wonjun Hwang

* 14 pages, 5 figures 

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Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold


Aug 12, 2019
YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi

* Published in CVPR 2017 

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Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning


Aug 07, 2019
Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi

* 10 pages, 3 figures, ICCV 2019 accepted 

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Joint Manifold Diffusion for Combining Predictions on Decoupled Observations


Apr 10, 2019
Kwang In Kim, Hyung Jin Chang

* Published at CVPR 2019 

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Context-aware Deep Feature Compression for High-speed Visual Tracking


Mar 28, 2018
Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi

* 9 pages, 6 figures, Accepted in CVPR2018 (IEEE conference on Computer Vision and Pattern Recognition) 

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DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self


Sep 18, 2017
Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure

* IEEE Transactions on Cognitive and Developmental Systems (2017) 
* Preprint version; final version available at http://ieeexplore.ieee.org/ IEEE Transactions on Cognitive and Developmental Systems (Accepted) DOI: 10.1109/TCDS.2017.2754143 

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MAGAN: Margin Adaptation for Generative Adversarial Networks


May 23, 2017
Ruohan Wang, Antoine Cully, Hyung Jin Chang, Yiannis Demiris


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