Publications

Only recent publications are listed here. The full list can be found in my Google Scholar Link.

2026

  1. Towards cost-effective and safe contact-rich robotic manipulation with reinforcement learning: A review of techniques for future industrial automation
    Anselmo Parnada, Mo Qu, Marco Castellani, Hyung Jin Chang, and Yongjing Wang
    Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 2026

2025

  1. A unified framework for unsupervised action learning via global-to-local motion transformer
    Boeun Kim, Jungho Kim, Hyung Jin Chang, and Tae-Hyun Oh
    Pattern Recognition 2025
  2. Bridging domain spaces for unsupervised domain adaptation
    Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang
    Pattern Recognition 2025
  3. Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics
    Tze Ho Elden Tse, Runyang Feng, Linfang Zheng, Jiho Park, Yixing Gao, Jihie Kim, Ales Leonardis, and Hyung Jin Chang
    In Proceedings of the AAAI Conference on Artificial Intelligence 2025
  4. InterLevel: Synthesizing Stair-Navigation Skills in Character-Scene Interactions
    Jack Shilton, Boeun Kim, and Hyung Jin Chang
    2025
  5. PersonaBooth: Personalized Text-to-Motion Generation
    Boeun Kim, Hea In Jeong, JungHoon Sung, Yihua Cheng, Jeongmin Lee, Ju Yong Chang, Sang-Il Choi, Younggeun Choi, Saim Shin, Jungho Kim, and others
    In Proceedings of the Computer Vision and Pattern Recognition Conference 2025
  6. 3D Prior is All You Need: Cross-Task Few-shot 2D Gaze Estimation
    Yihua Cheng, Hengfei Wang, Zhongqun Zhang, Yang Yue, Boeun Kim, Feng Lu, and Hyung Jin Chang
    In Proceedings of the Computer Vision and Pattern Recognition Conference 2025
  7. AuGQ: Augmented quantization granularity to overcome accuracy degradation for sub-byte quantized deep neural networks
    Ahmed Mujtaba, Wai Kong Lee, Byoung Chul Ko, Hyung Jin Chang, and Seong Oun Hwang
    Applied Intelligence 2025
  8. Single-view Image to Novel-view Generation for Hand-Object Interactions
    Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero, Yiren Zhou, Jiankang Deng, Hyung Jin Chang, and Jifei Song
    In Proceedings of the AAAI Conference on Artificial Intelligence 2025
  9. Behavior-aware Knowledge-embedded Model for Driver Attention Prediction
    Yuchen Zhou, Chao Gou, Zipeng Guo, Yihua Cheng, and Hyung Jin Chang
    IEEE Transactions on Circuits and Systems for Video Technology 2025
  10. On the design fundamentals of diffusion models: A survey
    Ziyi Chang, George A Koulieris, Hyung Jin Chang, and Hubert PH Shum
    Pattern Recognition 2025
  11. Video-based human pose estimation via feature decoupling and multi-hypothesis calibration
    Runyang Feng, Tze Ho Elden Tse, Haoming Chen, Hyung Jin Chang, Haifeng Zhong, and Yixing Gao
    Pattern Recognition 2025
  12. PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation
    Uyoung Jeong, Jonathan Freer, Seungryul Baek, Hyung Jin Chang, and Kwang In Kim
    In Proceedings of the Computer Vision and Pattern Recognition Conference 2025
  13. Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
    Hyundong Jin, Hyung Jin Chang, and Eunwoo Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2025
  14. Roll Your Eyes: Gaze Redirection via Explicit 3D Eyeball Rotation
    YoungChan Choi, HengFei Wang, YiHua Cheng, Boeun Kim, Hyung Jin Chang, YoungGeun Choi, and Sang-Il Choi
    In Proceedings of the 33rd ACM International Conference on Multimedia 2025
  15. DarkSeg: Infrared-Driven Semantic Segmentation for Garment Grasping Detection in Low-Light Conditions
    Haifeng Zhong, Fan Tang, Hyung Jin Chang, Xingyu Zhu, and Yixing Gao
    In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
  16. Multi-Hypothesis 3D Hand Mesh Recovering from a Single Blurry Image
    Rongyu Chen Zhongqun Zhang Yihua Cheng Hyung Jin Chang Yuming Chen
    In IEEE International Conference on Multimedia and Expo 2025
  17. High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation
    Runyang Feng, Hyung Jin Chang, Tze Ho Elden Tse, Boeun Kim, Yi Chang, and Yixing Gao
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2025
  18. AMDANet: Attention-Driven Multi-Perspective Discrepancy Alignment for RGB-Infrared Image Fusion and Segmentation
    Haifeng Zhong, Fan Tang, Zhuo Chen, Hyung Jin Chang, and Yixing Gao
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2025
  19. SimForce: Force and Surface Electromyography from Full Body Video with Graph Neural Nets
    Esha Dasgupta, Boeun Kim, Sang-Hoon Yeo, and Hyung Jin Chang
    In The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 2025
  20. The Third Visual Object Tracking Segmentation VOTS2025 Challenge Results
    Matej Kristan, Ji\vr Matası́, Pavel Tokmakov, Alan Lukežič, Michael Felsberg, Luka Čehovin Zajc, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Michal Neoral, and others
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2025

2024

  1. Multi-modal gaze following in conversational scenarios
    Yuqi Hou, Zhongqun Zhang, Nora Horanyi, Jaewon Moon, Yihua Cheng, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2024
  2. NCRF: neural contact radiance fields for free-viewpoint rendering of hand-object interaction
    Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Hyung Jin Chang, and Aleš Leonardis
    In 2024 International Conference on 3D Vision (3DV) 2024
  3. What do you see in vehicle? comprehensive vision solution for in-vehicle gaze estimation
    Yihua Cheng, Yaning Zhu, Zongji Wang, Hongquan Hao, Yongwei Liu, Shiqing Cheng, Xi Wang, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
  4. Benchmarks and challenges in pose estimation for egocentric hand interactions with objects
    Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, and others
    In European Conference on Computer Vision 2024
  5. Georef: Geometric alignment across shape variation for category-level object pose refinement
    Linfang Zheng, Tze Ho Elden Tse, Chen Wang, Yinghan Sun, Hua Chen, Ales Leonardis, Wei Zhang, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
  6. Textgaze: Gaze-controllable face generation with natural language
    Hengfei Wang, Zhongqun Zhang, Yihua Cheng, and Hyung Jin Chang
    In Proceedings of the 32nd ACM International Conference on Multimedia 2024
  7. Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation
    Chen Xu, Qiming Huang, Yuqi Hou, Jiangxing Wu, Fan Zhang, Hyung Jin Chang, and Jianbo Jiao
    In Proceedings of the Asian Conference on Computer Vision 2024
  8. Most: Motion style transformer between diverse action contents
    Boeun Kim, Jungho Kim, Hyung Jin Chang, and Jin Young Choi
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
  9. Nl2contact: Natural language guided 3d hand-object contact modeling with diffusion model
    Zhongqun Zhang, Hengfei Wang, Ziwei Yu, Yihua Cheng, Angela Yao, and Hyung Jin Chang
    In European Conference on Computer Vision 2024
  10. Dual prototype-driven objectness decoupling for cross-domain object detection in urban scene
    Taehoon Kim, Jaemin Na, Joong-won Hwang, Hyung Jin Chang, and Wonjun Hwang
    In Proceedings of the Asian Conference on Computer Vision 2024
  11. Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, and Angela Yao. Benchmarks and challenges in pose estimation for egocentric hand interactions with objects
    Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, and others
    In Proceedings of the European Conference on Computer Vision (ECCV) 2024
  12. GRF-MV: Ground Reaction Force Estimation from Monocular Video
    Juni Katsu, Esha Dasgupta, and Hyung Jin Chang
    In BMVC 2024 Workshop on Advancing Non-invasive Human Motion Characterization (ANIMA 2024) 2024
  13. GRF-MV
    Juni Katsu, Esha Dasgupta, and Hyung Jin Chang
    2024
  14. The second visual object tracking segmentation VOTS2024 challenge results
    Matej Kristan, Ji\vr Matası́, Pavel Tokmakov, Michael Felsberg, Luka Čehovin Zajc, Alan Lukežič, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, and others
    In European Conference on Computer Vision 2024
  15. A Study on Sled Test Method for Evaluating Autonomous Vehicle Crash Safety
    Hoyeol Lee, Jeongmin In, Hyungjin Chang, and Myungsu Lee
    Journal of Auto-vehicle Safety Association 2024
  16. Bidirectional Regression for Monocular 6DoF Head Pose Estimation and Reference System Alignment
    Sungho Chun, Boeun Kim, Hyung Jin Chang, and Ju Yong Chang
    2024

2023

  1. Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement
    Zhongqun Zhang, Wei Chen, Linfang Zheng, Ale\vs Leonardis, and Hyung Jin Chang
    In European Conference on Computer Vision 2023
  2. Gazenerf: 3d-aware gaze redirection with neural radiance fields
    Alessandro Ruzzi, Xiangwei Shi, Xi Wang, Gengyan Li, Shalini De Mello, Hyung Jin Chang, Xucong Zhang, and Otmar Hilliges
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
  3. Mutual information-based temporal difference learning for human pose estimation in video
    Runyang Feng, Yixing Gao, Xueqing Ma, Tze Ho Elden Tse, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
  4. Hs-pose: Hybrid scope feature extraction for category-level object pose estimation
    Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ale\vs Leonardis, Wei Zhang, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2023
  5. G-daic: A gaze initialized framework for description and aesthetic-based image cropping
    Nora Horanyi, Yuqi Hou, Ales Leonardis, and Hyung Jin Chang
    Proceedings of the ACM on Human-Computer Interaction 2023
  6. Where are they looking in the 3d space?
    Nora Horanyi, Linfang Zheng, Eunji Chong, Ale\vs Leonardis, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
  7. Gazecaps: Gaze estimation with self-attention-routed capsules
    Hengfei Wang, Jun O Oh, Hyung Jin Chang, Jin Hee Na, Minwoo Tae, Zhongqun Zhang, and Sang-Il Choi
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2023
  8. Non-zero grid for accurate 2-bit additive power-of-two CNN quantization
    Young Min Kim, Kyunghyun Han, Wai-Kong Lee, Hyung Jin Chang, and Seong Oun Hwang
    IEEE Access 2023
  9. Diffpose: Spatiotemporal diffusion model for video-based human pose estimation
    Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  10. Spectral graphormer: Spectral graph-based transformer for egocentric two-hand reconstruction using multi-view color images
    Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, and others
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  11. The first visual object tracking segmentation vots2023 challenge results
    Matej Kristan, Ji\vr Matası́, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Čehovin Zajc, Alan Lukežič, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, and others
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  12. Switching temporary teachers for semi-supervised semantic segmentation
    Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, and Wonjun Hwang
    Advances in Neural Information Processing Systems 2023
  13. Spectral Graphormer
    Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, and others
    2023
  14. Study About the Crash Safety of Occupants According to the Reclining Postures and Impact Angle under MPDB Test Types
    Jeongmin In, Jaehong Ma, Hyungjin Chang, and Joonho Jun
    Journal of Auto-vehicle Safety Association 2023

2022

  1. Contrastive vicinal space for unsupervised domain adaptation
    Jaemin Na, Dongyoon Han, Hyung Jin Chang, and Wonjun Hwang
    In European Conference on Computer Vision 2022
  2. WACV’22
    Novel-View Synthesis of Human Tourist Photos
    Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2022
    Paper Video
  3. PR’22
    Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping
    Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Aleš Leonardis, and Hyung Jin Chang
    Elsevier Pattern Recognition 2022
    arXiv
  4. ICRA’22
    TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders
    Linfang Zheng, Ales Leonardis, Tze Ho Elden Tse, Nora Horanyi, Hua Chen, Wei Zhang, and Hyung Jin Chang
    In 2022 IEEE International Conference on Robotics and Automation (ICRA) 2022
    Paper
  5. CVPR’22
    Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
    Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, and Hyung Jin Chang
    In IEEE Computer Vision and Pattern Recognition (CVPR) 2022
    arXiv Video Code Website
  6. Self-attention with convolution and deconvolution for efficient eye gaze estimation from a full face image
    Jun O Oh, Hyung Jin Chang, and Sang-Il Choi
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022
  7. S 2 contact: Graph-based network for 3d hand-object contact estimation with semi-supervised learning
    Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, and Hyung Jin Chang
    In European Conference on Computer Vision 2022
  8. Cross-domain representation learning for clothes unfolding in robot-assisted dressing
    Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, and Yi Chang
    In Tenth International Workshop on Assistive Computer Vision and Robotics 2022
  9. Towards generic 3d tracking in RGBD videos: Benchmark and baseline
    Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ale\vs Leonardis, and Feng Zheng
    In European Conference on Computer Vision 2022
  10. Global-local motion transformer for unsupervised skeleton-based action learning
    Boeun Kim, Hyung Jin Chang, Jungho Kim, and Jin Young Choi
    In European conference on computer vision 2022
  11. The tenth visual object tracking vot2022 challenge results
    Matej Kristan, Ale\vs Leonardis, Jiřı́ Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc, Alan Lukežič, and others
    In European Conference on Computer Vision 2022

2021

  1. CVPR’21
    Vab-al: Incorporating class imbalance and difficulty with variational bayes for active learning
    Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jinyeop Chang, Youngjune Gwon, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021
    arXiv
  2. Class-attentive diffusion network for semi-supervised classification
    Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, and Jin Young Choi
    In Proceedings of the AAAI conference on artificial intelligence 2021
  3. Fixbi: Bridging domain spaces for unsupervised domain adaptation
    Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021
  4. Access’21
    Self-supervised spatio-temporal representation learning using variable playback speed prediction
    Hyeon Cho, Taehoon Kim, Hyung Jin Chang, and Wonjun Hwang
    IEEE Access 2021
    Paper
  5. MVA’21
    Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles
    Kyuewang Lee, Hyung Jin Chang, Jongwon Choi, Byeongho Heo, Ale\vs Leonardis, and Jin Young Choi
    Machine Vision and Applications 2021
    Paper
  6. Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism
    Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, and Ales Leonardis
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021
  7. Unsupervised hyperbolic representation learning via message passing auto-encoders
    Jiwoong Park, Junho Cho, Hyung Jin Chang, and Jin Young Choi
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021
  8. Apparently irrational choice as optimal sequential decision making
    Haiyang Chen, Hyung Jin Chang, and Andrew Howes
    In Proceedings of the AAAI Conference on Artificial Intelligence 2021
  9. Self-supervised visual learning by variable playback speeds prediction of a video
    Hyeon Cho, Taehoon Kim, Hyung Jin Chang, and Wonjun Hwang
    IEEE Access 2021
  10. TMI’21
    Learning a model-driven variational network for deformable image registration
    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, and others
    IEEE Transactions on Medical Imaging 2021
    Paper
  11. Nesterov accelerated ADMM for fast diffeomorphic image registration
    Alexander Thorley, Xi Jia, Hyung Jin Chang, Boyang Liu, Karina Bunting, Victoria Stoll, Antonio Marvao, Declan P O’Regan, Georgios Gkoutos, Dipak Kotecha, and others
    In International Conference on Medical Image Computing and Computer-Assisted Intervention 2021
  12. The ninth visual object tracking vot2021 challenge results
    Matej Kristan, Ji\vr Matası́, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin, Alan Lukežič, and others
    In Proceedings of the IEEE/CVF international conference on computer vision 2021

2020

  1. Body pose sonification for a view-independent auditory aid to blind rock climbers
    Joseph Ramsay, and Hyung Jin Chang
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2020
  2. PointPoseNet: Point pose network for robust 6D object pose estimation
    Wei Chen, Jinming Duan, Hector Basevi, Hyung Jin Chang, and Ales Leonardis
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2020
  3. Access’20
    User modelling using multimodal information for personalised dressing assistance
    Yixing Gao, Hyung Jin Chang, and Yiannis Demiris
    IEEE Access 2020
    Paper
  4. G2l-net: Global to local network for real-time 6d pose estimation with embedding vector features
    Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, and Ales Leonardis
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2020
  5. Seqhand: Rgb-sequence-based 3d hand pose and shape estimation
    John Yang, Hyung Jin Chang, Seungeui Lee, and Nojun Kwak
    In European Conference on Computer Vision 2020
  6. Combining task predictors via enhancing joint predictability
    Kwang In Kim, Christian Richardt, and Hyung Jin Chang
    In European Conference on Computer Vision 2020
  7. Symmetric graph convolutional autoencoder for unsupervised graph representation learning. In 2019 IEEE
    Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, and Jin Young Choi
    In CVF International Conference on Computer Vision (ICCV) 2020

2019

  1. Pmnet: Learning of disentangled pose and movement for unsupervised motion retargeting
    Jongin Lim, Hyung Jin Chang, and Jin Young Choi
    In 30th British Machine Vision Conference (BMVC 2019) 2019
  2. Symmetric graph convolutional autoencoder for unsupervised graph representation learning
    Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, and Jin Young Choi
    In Proceedings of the IEEE/CVF international conference on computer vision 2019
  3. Joint manifold diffusion for combining predictions on decoupled observations
    Kwang In Kim, and Hyung Jin Chang
    In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

2018

  1. TPAMI’18
    Highly articulated kinematic structure estimation combining motion and skeleton information
    Hyung Jin Chang, and Yiannis Demiris
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2018
    Paper
  2. Context-aware deep feature compression for high-speed visual tracking
    Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi
    In Proceedings of the IEEE conference on computer vision and pattern recognition 2018
  3. Transferring visuomotor learning from simulation to the real world for robotics manipulation tasks
    Phuong DH Nguyen, Tobias Fischer, Hyung Jin Chang, Ugo Pattacini, Giorgio Metta, and Yiannis Demiris
    In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018
  4. Rt-gene: Real-time eye gaze estimation in natural environments
    Tobias Fischer, Hyung Jin Chang, and Yiannis Demiris
    In Proceedings of the European conference on computer vision (ECCV) 2018
  5. European Conference on Computer Vision
    Tobias Fischer, Hyung Jin Chang, and Yiannis Demiris
    2018

2017

  1. Attentional correlation filter network for adaptive visual tracking
    Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi
    In Proceedings of the IEEE conference on computer vision and pattern recognition 2017
  2. Variational autoencoded regression: high dimensional regression of visual data on complex manifold
    YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, and Jin Young Choi
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2017
  3. DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self
    Clé Moulin-Frierment, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, and others
    IEEE Transactions on Cognitive and Developmental Systems 2017
  4. TPAMI’17
    Learning kinematic structure correspondences using multi-order similarities
    Hyung Jin Chang, Tobias Fischer, Maxime Petit, Martina Zambelli, and Yiannis Demiris
    IEEE transactions on pattern analysis and machine intelligence 2017
    Paper

2016

  1. Estimator training method and pose estimating method using depth image
    Jae Joon Han, Danhang Tang, Tae Kyun Kim, Seung Ju Han, Byung In Yoo, Chang Kyu Choi, Alykhan Tejani, and Hyung Jin Chang
    2016
  2. Blockwise collaborative representation-based classification via L2-norm of query data for accurate face recognition
    Jin Hee Na, and Hyung Jin Chang
    Electronics Letters 2016
  3. Transition hough forest for trajectory-based action recognition
    Guillermo Garcia-Hernando, Hyung Jin Chang, Ismael Serrano, Oscar Deniz, and Tae-Kyun Kim
    In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) 2016
  4. Spatio-temporal hough forest for efficient detection–localisation–recognition of fingerwriting in egocentric camera
    Hyung Jin Chang, Guillermo Garcia-Hernando, Danhang Tang, and Tae-Kyun Kim
    Computer Vision and Image Understanding 2016
  5. Kinematic structure correspondences via hypergraph matching
    Hyung Jin Chang, Tobias Fischer, Maxime Petit, Martina Zambelli, and Yiannis Demiris
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2016
  6. Visual tracking using attention-modulated disintegration and integration
    Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi
    In Proceedings of the IEEE conference on computer vision and pattern recognition 2016
  7. Iterative path optimisation for personalised dressing assistance using vision and force information
    Yixing Gao, Hyung Jin Chang, and Yiannis Demiris
    In 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS) 2016
  8. Towards anchoring self-learned representations to those of other agents
    Martina Zambelli, Tobias Fischer, Maxime Petit, Hyung Jin Chang, Antoine Cully, and Yiannis Demiris
    In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems Workshop on Bio-inspired Social Robot Learning in Home Scenarios 2016 2016
  9. Personalised assistive dressing by humanoid robots using multi-modal information
    Yixing Gao, Hyung Jin Chang, and Yiannis Demiris
    In IEEE ICRA Workshop on Human-Robot Interfaces for Enhanced Physical Interactions 2016
  10. The visual object tracking VOT2016 challenge results
    Matej Kristan, and al.
    In ECCV Workshops 2016
  11. TPAMI’16
    Latent regression forest: structured estimation of 3d hand poses
    Danhang Tang, Hyung Jin Chang, Alykhan Tejani, and Tae-Kyun Kim
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2016
    Paper
  12. Estimator training method and pose estimating method using depth image
    Jae Joon Han, Danhang Tang, Tae Kyun Kim, Seung Ju Han, Byung In Yoo, Chang Kyu Choi, Alykhan Tejani, and Hyung Jin Chang
    2016
  13. Active attentional sampling method for accelerating background subtraction
    Hyung-Jin Chang, Ha-wook JEONG, and Jin-Young Choi
    2016

2015

  1. Unsupervised learning of complex articulated kinematic structures combining motion and skeleton information
    Hyung Jin Chang, and Yiannis Demiris
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2015
  2. 3d finger cape: Clicking action and position estimation under self-occlusions in egocentric viewpoint
    Youngkyoon Jang, Seung-Tak Noh, Hyung Jin Chang, Tae-Kyun Kim, and Woontack Woo
    IEEE Transactions on Visualization and Computer Graphics 2015
  3. Stare: Spatio-temporal attention relocation for multiple structured activities detection
    Kyuhwa Lee, Dimitri Ognibene, Hyung Jin Chang, Tae-Kyun Kim, and Yiannis Demiris
    IEEE Transactions on Image Processing 2015
  4. User modelling for personalised dressing assistance by humanoid robots
    Yixing Gao, Hyung Jin Chang, and Yiannis Demiris
    In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015

2014

  1. Robust action recognition using local motion and group sparsity
    Jungchan Cho, Minsik Lee, Hyung Jin Chang, and Songhwai Oh
    Pattern Recognition 2014
  2. Latent regression forest: Structured estimation of 3d articulated hand posture
    Danhang Tang, Hyung Jin Chang, Alykhan Tejani, and Tae-Kyun Kim
    In Proceedings of the IEEE conference on computer vision and pattern recognition 2014

2013

  1. Detection of moving objects with non-stationary cameras in 5.8 ms: Bringing motion detection to your mobile device
    Kwang Moo Yi, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, and Jin Young Choi
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2013
  2. Initialization-insensitive visual tracking through voting with salient local features
    Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, and Jin Young Choi
    In Proceedings of the IEEE international conference on computer vision 2013
  3. Abstracted radon profiles for fingerprint recognition
    Tushar Sandhan, Hyung Jin Chang, and Jin Young Choi
    In 2013 IEEE International Conference on Image Processing 2013
  4. Attentional Sampling for Efficient Visual Computing
    장형진
    2013

2012

  1. Active attentional sampling for speed-up of background subtraction
    Hyung Jin Chang, Hawook Jeong, and Jin Young Choi
    In 2012 IEEE Conference on Computer Vision and Pattern Recognition 2012
  2. Robust moving object detection against fast illumination change
    JinMin Choi, Hyung Jin Chang, Yung Jun Yoo, and Jin Young Choi
    Computer Vision and Image Understanding 2012
  3. 복잡한 행동 인식 알고리즘 발전을 위한 SNU-Dance 데이터 세트
    김지윤, 장형진, 조정찬, 오성회, and 최진영
    정보 및 제어 논문집 2012
  4. Hierarchical feature grouping for multiple object segmentation and tracking
    Moonsub Byeon, Hyung Jin Chang, and Jin Young Choi
    In Proceedings of the 27th Conference on Image and Vision Computing New Zealand 2012
  5. 시선각에 무관한 행동 인식을 위한 4D 시공간 특징점
    김선정, 장형진, and 최진영
    대한전자공학회 학술대회 2012
  6. 장대터널에서 수소연료전지 차량의 수소 누출에 대한수소 거동의 수치해석 연구
    JONGRAK CHOI, NAHMKEON HUR, MOONKYU LEE, HYUNGJIN CHANG, KWANGBUM LEE, and GEEJOONG YONG
    2012

2011

  1. Pil-eye: Integrated system for sustainable development of intelligent visual surveillance algorithms
    Hyung Jin Chang, Kwang Moo Yi, Shimin Yin, Soo Wan Kim, Young Min Baek, Ho Seok Ahn, and Jin Young Choi
    In 2011 International Conference on Digital Image Computing: Techniques and Applications 2011
  2. Hand-shake correction method and apparatus of camera module for use in mobile device
    Jun-Mo Koo, Jin-Young Choi, Byung-Kwon Kang, Dong-Hoon Jang, Pyo-Jae Kim, Dong-Sung Song, and Hyung-Jin Chang
    2011
  3. Tracking failure detection by imitating human visual perception
    Hyung Jin Chang, Myoung Soo Park, Hawook Jeong, and Jin Young Choi
    In 2011 18th IEEE International Conference on Image Processing 2011
  4. Spatiotemporal pattern modeling for fault detection and classification in semiconductor manufacturing
    Hyung Jin Chang, Dong Sung Song, Pyo Jae Kim, and Jin Young Choi
    IEEE Transactions on Semiconductor Manufacturing 2011
  5. Modeling of moving object trajectory by spatio-temporal learning for abnormal behavior detection
    Hawook Jeong, Hyung Jin Chang, and Jin Young Choi
    In 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2011
  6. 영상감시시스템에서 움직임의 비교사학습을 통한 비정상행동탐지
    정하욱, 장형진, and 최진영
    전자공학회논문지-SC 2011
  7. Unsupervised motion learning for abnormal behavior detection in visual surveillance
    Ha-Wook Jeong, Hyung-Jin Chang, and Jin-Young Choi
    Journal of the Institute of Electronics Engineers of Korea SC 2011

2010

  1. 지능형 영상 감시 알고리즘 개발을 위한 통합 시스템
    장형진, 이광무, 김수완, 윤석민, and 최진영
    정보 및 제어 논문집 2010
  2. 전경 탐지 연산 속도 향상을 위한 적응형 격자구조 샘플링 기법
    장형진, 박명수, 임정은, and 최진영
    대한전자공학회 학술대회 2010
  3. 영상 감시 시스템에서 Low Contrast 개선을 위한 자동 전처리 방법
    정하욱, 장형진, and 최진영
    대한전자공학회 학술대회 2010

2009

  1. Optical image stabilizing system using multirate fuzzy PID controller for mobile device camera
    Hyung Jin Chang, Pyo Jae Kim, Dong Sung Song, and Jin Young Choi
    IEEE Transactions on Consumer Electronics 2009
  2. Detection of suspicious activity using incremental outlier detection algorithms
    D Pokrajac, N Reljin, N Pejcic, T Vance, S McDaniel, A Lazarevic, HJ Chang, JY Choi, and R Miezianko
    In Signal and Data Processing of Small Targets 2009 2009
  3. Abnormal Behavior Detection using Simplified Social Force Model
    Waqas Sultani, Hyung Jin Chang, and Jin Young Choi
    대한전자공학회 학술대회 2009
  4. 데이터 지연 문제를 해결하기 위한 영상 공유형 감시시스템의 구현
    유한주, 김선정, 안호석, 박진현, 윤석민, 이광무, 김수완, 문영은, 정하욱, 최진민, and others
    대한전자공학회 학술대회 2009
  5. people counting system using single camera
    Ha-Wook Jeong, Hyung-Jin Chang, Young-Min Baek, Soo-Wan Kim, and Jin-Young Choi
    In Proceedings of the IEEK Conference 2009
  6. 적응적 배경 모델을 이용한 놓고 간 물체 및 도난 물체 탐지 방법
    문영은, 장형진, and 최진영
    대한전자공학회 학술대회 2009
  7. 영상 감시시스템에서 축적된 차 영상 방법을 이용한 카메라 가려짐 탐지
    정하욱, 장형진, 최진민, and 최진영
    대한전자공학회 학술대회 2009
  8. 카메라영상을 이용한 people counting system
    정하욱, 장형진, 백영민, 김수완, and 최진영
    정보 및 제어 논문집 2009

2008

  1. Fast incremental learning for one-class support vector classifier using sample margin information
    Pyo Jae Kim, Hyung Jin Chang, and Jin Young Choi
    In 2008 19th International Conference on Pattern Recognition 2008
  2. Apparatus and method for proportional-integral-derivative control
    Jun-Moc Koo, and others
    2008
  3. SVDD based Scene Understanding using Color Space Information
    Soo-Wan Kim, Hyung-Jin Chang, Woo-Sung Kang, and Jin-Young Choi
    In Proceedings of the KIEE Conference 2008
  4. 개선된 텍스쳐 정보를 이용한 갑작스러운 조명 변화에 강인한 이동 물체 탐지
    오요한, 장형진, 김수완, and 최진영
    대한전기학회 학술대회 논문집 2008
  5. 색 공간 정보를 이용한 지지벡터 영역 묘사 기반의 장면 이해
    김수완, 장형진, 강우성, and 최진영
    대한전기학회 학술대회 논문집 2008
  6. Moving Object Detection Robust to Sudden illumination Change using Modified Texture Information
    Hyung-Jin Chang, Soo-Wan Kim, Jin-Young Choi, and others
    In Proceedings of the KIEE Conference 2008

2007

  1. Fast support vector data description using k-means clustering
    Pyo Jae Kim, Hyung Jin Chang, Dong Sung Song, and Jin Young Choi
    In International Symposium on Neural Networks 2007
  2. Emotional head robot with behavior decision model and face recognition
    Ho Seok Ahn, Pyo Jae Kim, Jeong Hwan Choi, Shamyl Bin Mansoor, Woo-Sung Kang, Seok Min Yoon, Jin Hee Na, Young Min Baek, Hyung Jin Chang, Dong Sung Song, and others
    In 2007 International Conference on Control, Automation and Systems 2007
  3. 평균 이동 알고리즘 기반의 지지 벡터 영역 표현 방법
    장형진, 김표재, 최정환, and 최진영
    대한전기학회 학술대회 논문집 2007
  4. Negative data 를 고려한 K-means Support Vector Data Description
    송동성, 김표재, 장형진, and 최진영
    대한전기학회 학술대회 논문집 2007
  5. Support Vector Data Description Using Clustering Method
    Hyung Chang, Pyo-Jae Kim, Jung Hwan Choi, and Jin Young Choi
    In ITC-CSCC: International Technical Conference on Circuits Systems, Computers and Communications 2007
  6. K-means Support Vector Data Description concerning Negative data
    Dong-Sung Song, Pyo-Jae Kim, Hyung-Jin Chang, and Jin-Young Choi
    In Proceedings of the KIEE Conference 2007
  7. Support Vector Data Description using Mean Shift Clustering
    Hyung-Jin Chang, Pyo-Jae Kim, Jung-Hwan Choi, and Jin-Young Choi
    In Proceedings of the KIEE Conference 2007
  8. 평균 이동 알고리즘을 이용한 지지 벡터 영역 표현 학습시간 단축 방법
    장형진, 김표재, 최정환, and 최진영
    대한전자공학회 학술대회 2007
  9. Shamyl Bin Mansoor, Woo-Sung Kang, Seok Min Yoon, Jin Hee Na, Young Min Baek, Hyung Jin Chang, Dong Sung Song, Jin Young Choi and Hyeong-Seok Ko,“Emotional Head Robot with Behavior Decision Model and Face Recognition”
    Ho Seok Ahn, and Pyo Jae Kim
    In International Conference on Control, Automation and Systems Oct 2007

2006

  1. KMSVDD: K-means Clustering 을 이용한 Support Vector Data Description
    김표재, 장형진, 송동성, and 최진영
    정보 및 제어 논문집 2006
  2. Face Recognition Based on PCA and LDA Combining Clustering
    Lian-Hua Guo, Pyo-Jae Kim, Hyung-Jin Chang, and Jin-Young Choi
    In Proceedings of the IEEK Conference 2006
  3. KMSVOD: Support Vector Data Description using K-means Clustering
    Pyo-Jae Kim, Hyung-Jin Chang, Dong-Sung Song, and Jin-Young Choi
    In Proceedings of the KIEE Conference 2006
  4. Face Recognition Based on PCA and LDA Combining Clustering
    곽련화, 김표재, 장형진, and 최진영
    대한전자공학회 학술대회 2006

2005

    2004

      2003

        2002

        1. Action chart: A representation for efficient recognition of complex activities
          Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, and Jin Young Choi
          IEEE Transactions on 2002