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Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping

Jan 07, 2022
Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang

* Pattern Recognition, 2022, 108485, ISSN 0031-3203 

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Contrastive Vicinal Space for Unsupervised Domain Adaptation

Dec 05, 2021
Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang

* 10 pages, 7 figures, 5 tables 

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Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Sep 26, 2021
Alexander Thorley, Xi Jia, Hyung Jin Chang, Boyang Liu, Karina Bunting, Victoria Stoll, Antonio de Marvao, Declan P. O'Regan, Georgios Gkoutos, Dipak Kotecha, Jinming Duan

* Accepted to MICCAI 2021 

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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 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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