Keze Wang
Title
Cited by
Cited by
Year
Cost-effective active learning for deep image classification
K Wang, D Zhang, Y Li, R Zhang, L Lin
IEEE Transactions on Circuits and Systems for Video Technology 27 (12), 2591 …, 2016
2582016
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence
K Wang, L Lin, J Lu, C Li, K Shi
IEEE Trans. Image Process. 24 (10), 3019-3033, 2015
165*2015
3D human activity recognition with reconfigurable convolutional neural networks
K Wang, X Wang, L Lin, M Wang, W Zuo
Proceedings of the 22nd ACM international conference on Multimedia, 97-106, 2014
982014
Active self-paced learning for cost-effective and progressive face identification
L Lin, K Wang, D Meng, W Zuo, L Zhang
IEEE transactions on pattern analysis and machine intelligence 40 (1), 7-19, 2017
842017
A deep structured model with radius-margin bound for 3d human activity recognition
L Lin, K Wang, W Zuo, M Wang, J Luo, L Zhang
International Journal of Computer Vision (IJCV) 118 (2), 256-273, 2015
792015
Recurrent 3d pose sequence machines
M Lin, L Lin, X Liang, K Wang, H Cheng
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on …, 2017
712017
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection
G Li, Y Xie, T Wei, K Wang, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
572018
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection
K Wang, L Lin, W Zuo, S Gu, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
372016
3D human pose machines with self-supervised learning
K Wang, L Lin, C Jiang, C Qian, P Wei
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (5), 1069-1082, 2019
282019
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
K Wang, X Yan, D Zhang, L Zhang, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
252018
Human pose estimation from depth images via inference embedded multi-task learning
K Wang, S Zhai, H Cheng, X Liang, L Lin
Proceedings of the 24th ACM international conference on Multimedia, 1227-1236, 2016
242016
Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning
Y Shi, K Wang, C Chen, L Xu, L Lin
IEEE Transactions on Multimedia 19 (12), 2804-2815, 2017
212017
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning
Y Shi, LI Guanbin, Q Cao, K Wang, L Lin
IEEE transactions on pattern analysis and machine intelligence, 2019
122019
Learning a lightweight deep convolutional network for joint age and gender recognition
L Zhu, K Wang, L Lin, L Zhang
2016 23rd International Conference on Pattern Recognition (ICPR), 3282-3287, 2016
102016
Instance-aware representation learning and association for online multi-person tracking
H Wu, Y Hu, K Wang, H Li, L Nie, H Cheng
Pattern Recognition 94, 25-34, 2019
92019
Adaptively Connected Neural Networks
G Wang, K Wang, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
92019
Cost-effective object detection: Active sample mining with switchable selection criteria
K Wang, L Lin, X Yan, Z Chen, D Zhang, L Zhang
IEEE Transactions on Neural Networks and Learning Systems 30 (3), 834-850, 2018
92018
Local-and holistic-structure preserving image super resolution via deep joint component learning
Y Shi, K Wang, L Xu, L Lin
2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016
72016
Deep co-space: Sample mining across feature transformation for semi-supervised learning
Z Chen, K Wang, X Wang, P Peng, E Izquierdo, L Lin
IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2667 …, 2017
32017
Convolutional Memory Blocks for Depth Data Representation Learning.
K Wang, L Lin, C Ren, W Zhang, W Sun
IJCAI, 2790-2797, 2018
22018
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