Jungong Han
Jungong Han
Professor and Chair in Computer Science, Aberystwyth University, UK, FIAPR, FAAIA
Verified email at - Homepage
Cited by
Cited by
Enhanced computer vision with microsoft kinect sensor: A review
J Han, L Shao, D Xu, J Shotton
IEEE transactions on cybernetics 43 (5), 1318-1334, 2013
Repvgg: Making vgg-style convnets great again
X Ding, X Zhang, N Ma, J Han, G Ding, J Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review
Q Zhang, Y Liu, RS Blum, J Han, D Tao
Information Fusion 40, 57-75, 2018
Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks
X Ding, Y Guo, G Ding, J Han
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Gabor convolutional networks
S Luan, C Chen, B Zhang, J Han, J Liu
IEEE Transactions on Image Processing 27 (9), 4357-4366, 2018
Automatic video-based human motion analyzer for consumer surveillance system
W Lao, J Han
IEEE Transactions on Consumer Electronics 55 (2), 591-598, 2009
Cosaliency detection based on intrasaliency prior transfer and deep intersaliency mining
D Zhang, J Han, J Han, L Shao
IEEE transactions on neural networks and learning systems 27 (6), 1163-1176, 2015
Cross-view retrieval via probability-based semantics-preserving hashing
Z Lin, G Ding, J Han, J Wang
IEEE transactions on cybernetics 47 (12), 4342-4355, 2016
RGB-D datasets using microsoft kinect or similar sensors: a survey
Z Cai, J Han, L Liu, L Shao
Multimedia Tools and Applications 76 (3), 4313-4355, 2017
From zero-shot learning to conventional supervised classification: Unseen visual data synthesis
Y Long, L Liu, L Shao, F Shen, G Ding, J Han
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval
H Chen, G Ding, X Liu, Z Lin, J Liu, J Han
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Action recognition using 3D histograms of texture and a multi-class boosting classifier
B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao
IEEE Transactions on Image processing 26 (10), 4648-4660, 2017
Centripetal sgd for pruning very deep convolutional networks with complicated structure
X Ding, G Ding, Y Guo, J Han
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Memory attention networks for skeleton-based action recognition
C Li, C Xie, B Zhang, J Han, X Zhen, J Chen
IEEE Transactions on Neural Networks and Learning Systems, 2021
Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment
J Han, EJ Pauwels, PM de Zeeuw, PHN de With
IEEE Transactions on Consumer Electronics 58 (2), 255-263, 2012
Learning from multiple experts: Self-paced knowledge distillation for long-tailed classification
L Xiang, G Ding, J Han
European Conference on Computer Vision, 247-263, 2020
Unsupervised deep video hashing via balanced code for large-scale video retrieval
G Wu, J Han, Y Guo, L Liu, G Ding, Q Ni, L Shao
IEEE Transactions on Image Processing 28 (4), 1993-2007, 2018
Global sparse momentum sgd for pruning very deep neural networks
X Ding, X Zhou, Y Guo, J Han, J Liu
Advances in Neural Information Processing Systems 32, 2019
Video-based fall detection in the home using principal component analysis
L Hazelhoff, J Han
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2008
Automatic modulation classification based on deep learning for unmanned aerial vehicles
D Zhang, W Ding, B Zhang, C Xie, H Li, C Liu, J Han
Sensors 18 (3), 924, 2018
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