Hyung Jin Chang

According to our database1, Hyung Jin Chang authored at least 42 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold.
CoRR, 2019

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning.
CoRR, 2019

Joint Manifold Diffusion for Combining Predictions on Decoupled Observations.
CoRR, 2019

Joint Manifold Diffusion for Combining Predictions on Decoupled Observations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self.
IEEE Trans. Cognitive and Developmental Systems, 2018

Learning Kinematic Structure Correspondences Using Multi-Order Similarities.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Highly Articulated Kinematic Structure Estimation Combining Motion and Skeleton Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Context-aware Deep Feature Compression for High-speed Visual Tracking.
CoRR, 2018

Transferring Visuomotor Learning from Simulation to the Real World for Robotics Manipulation Tasks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments.
Proceedings of the Computer Vision - ECCV 2018, 2018

Context-Aware Deep Feature Compression for High-Speed Visual Tracking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Latent Regression Forest: Structured Estimation of 3D Hand Poses.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

MAGAN: Margin Adaptation for Generative Adversarial Networks.
CoRR, 2017

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self.
CoRR, 2017

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Attentional Correlation Filter Network for Adaptive Visual Tracking.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Spatio-Temporal Hough Forest for efficient detection-localisation-recognition of fingerwriting in egocentric camera.
Computer Vision and Image Understanding, 2016

Transition Hough forest for trajectory-based action recognition.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Iterative path optimisation for personalised dressing assistance using vision and force information.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Visual Tracking Using Attention-Modulated Disintegration and Integration.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Kinematic Structure Correspondences via Hypergraph Matching.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
3D Finger CAPE: Clicking Action and Position Estimation under Self-Occlusions in Egocentric Viewpoint.
IEEE Trans. Vis. Comput. Graph., 2015

STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection.
IEEE Trans. Image Processing, 2015

User modelling for personalised dressing assistance by humanoid robots.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Unsupervised learning of complex articulated kinematic structures combining motion and skeleton information.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Robust action recognition using local motion and group sparsity.
Pattern Recognition, 2014

Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Abstracted radon profiles for fingerprint recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

Initialization-Insensitive Visual Tracking through Voting with Salient Local Features.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Action Chart: A Representation for Efficient Recognition of Complex Activity.
Proceedings of the British Machine Vision Conference, 2013

2012
Robust moving object detection against fast illumination change.
Computer Vision and Image Understanding, 2012

Hierarchical feature grouping for multiple object segmentation and tracking.
Proceedings of the Image and Vision Computing New Zealand, 2012

Active attentional sampling for speed-up of background subtraction.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Tracking failure detection by imitating human visual perception.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Modeling of moving object trajectory by spatio-temporal learning for abnormal behavior detection.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2009
Optical image stabilizing system using multirate fuzzy PID controller for mobile device camera.
IEEE Trans. Consumer Electronics, 2009

2008
Fast incremental learning for one-class support vector classifier using sample margin information.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Fast Support Vector Data Description Using K-Means Clustering.
Proceedings of the Advances in Neural Networks, 2007


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