Hyung Jin Chang
Hyung Jin Chang
Assistant Professor, University of Birmingham
Email verificata su bham.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
The visual object tracking VOT2016 challenge results
M Kristan, et al.
ECCV Workshops 9914, 777-823, 2016
16322016
Latent regression forest: Structured estimation of 3d articulated hand posture
D Tang, H Jin Chang, A Tejani, TK Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2014
3482014
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
3312018
Attentional correlation filter network for adaptive visual tracking
J Choi, H Jin Chang, S Yun, T Fischer, Y Demiris, J Young Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2512017
Visual tracking using attention-modulated disintegration and integration
J Choi, HJ Chang, J Jeong, Y Demiris, JY Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1712016
Context-aware deep feature compression for high-speed visual tracking
J Choi, HJ Chang, T Fischer, S Yun, K Lee, J Jeong, Y Demiris, JY Choi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1412018
Detection of moving objects with non-stationary cameras in 5.8 ms: Bringing motion detection to your mobile device
K Moo Yi, K Yun, S Wan Kim, H Jin Chang, J Young Choi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1112013
Rt-gene: Real-time eye gaze estimation in natural environments
T Fischer, HJ Chang, Y Demiris
Proceedings of the European Conference on Computer Vision (ECCV), 334-352, 2018
852018
3d finger cape: Clicking action and position estimation under self-occlusions in egocentric viewpoint
Y Jang, ST Noh, HJ Chang, TK Kim, W Woo
IEEE Transactions on Visualization and Computer Graphics 21 (4), 501-510, 2015
852015
Robust action recognition using local motion and group sparsity
J Cho, M Lee, HJ Chang, S Oh
Pattern Recognition 47 (5), 1813-1825, 2014
632014
Robust moving object detection against fast illumination change
JM Choi, HJ Chang, YJ Yoo, JY Choi
Computer Vision and Image Understanding 116 (2), 179-193, 2012
532012
Magan: Margin adaptation for generative adversarial networks
R Wang, A Cully, HJ Chang, Y Demiris
arXiv preprint arXiv:1704.03817, 2017
472017
Iterative path optimisation for personalised dressing assistance using vision and force information
Y Gao, HJ Chang, Y Demiris
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
452016
User modelling for personalised dressing assistance by humanoid robots
Y Gao, HJ Chang, Y Demiris
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
452015
Optical image stabilizing system using multirate fuzzy PID controller for mobile device camera
HJ Chang, PJ Kim, DS Song, JY Choi
IEEE Transactions on Consumer Electronics 55 (2), 303-311, 2009
322009
Hand-shake correction method and apparatus of camera module for use in mobile device
J Koo, J Choi, B Kang, D Jang, P Kim, D Song, H Chang
US Patent 8,009,971, 2011
312011
DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self
C Moulin-Frier, T Fischer, M Petit, G Pointeau, JY Puigbo, U Pattacini, ...
IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1005-1022, 2017
292017
Fast support vector data description using k-means clustering
PJ Kim, HJ Chang, DS Song, JY Choi
International Symposium on Neural Networks, 506-514, 2007
282007
Latent regression forest: structured estimation of 3d hand poses
D Tang, HJ Chang, A Tejani, TK Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1374-1387, 2016
272016
Initialization-insensitive visual tracking through voting with salient local features
KM Yi, H Jeong, B Heo, HJ Chang, JY Choi
Proceedings of the IEEE International Conference on Computer Vision, 2912-2919, 2013
272013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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