Pichao WANG
Pichao WANG
PhD, Alibaba Group (U.S.) Inc.
在 alibaba-inc.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Action recognition from depth maps using deep convolutional neural networks
P Wang, W Li, Z Gao, J Zhang, C Tang, PO Ogunbona
Human-Machine Systems, IEEE Transactions on 46 (4), 498-509, 2016
2352016
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks
P Wang, Z Li, Y Hou, W Li
Proceedings of the 2016 ACM on Multimedia Conference, 2016, 102-106, 2016
2242016
Skeleton Optical Spectra Based Action Recognition Using Convolutional Neural Networks
Y Hou, Z Li, P Wang, W Li
IEEE Transactions on Circuits and Systems for Video Technology 28 (3), 807 - 811, 2018
1992018
RGB-D-based Action Recognition Datasets: A Survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
1992016
RGB-D-based human motion recognition with deep learning: A survey
P Wang, W Li, P Ogunbona, J Wan, S Escalera
Computer Vision and Image Understanding 171, 118-139, 2018
1832018
Joint distance maps based action recognition with convolutional neural networks
C Li, Y Hou, P Wang, W Li
IEEE Signal Processing Letters 24 (5), 624-628, 2017
1532017
Skeleton-based action recognition using LSTM and CNN
C Li, P Wang, S Wang, Y Hou, W Li
2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017
1002017
Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring
P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona
Proceedings of the 23rd ACM international conference on Multimedia, 1119-1122, 2015
962015
Scene flow to action map: A new representation for RGB-D based action recognition with convolutional neural networks
P Wang, W Li, Z Gao, Y Zhang, C Tang, P Ogunbona
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
952017
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks
P Wang, W Li, C Li, Y Hou
Knowledge-Based Systems 158, 43-53, 2018
782018
Large-scale isolated gesture recognition using convolutional neural networks
P Wang, W Li, S Liu, Z Gao, C Tang, P Ogunbona
Pattern Recognition (ICPR), 2016 23rd International Conference on, 2016
772016
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
P Wang, W Li, Z Gao, C Tang, P Ogunbona
IEEE Transactions on Multimedia 20 (5), 1051 - 1061, 2018
602018
A spectral and spatial approach of coarse-to-fine blurred image region detection
C Tang, J Wu, Y Hou, P Wang, W Li
IEEE Signal Processing Letters 23 (11), 1652-1656, 2016
552016
Learning a joint affinity graph for multiview subspace clustering
C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang
IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018
522018
Deep convolutional neural networks for action recognition using depth map sequences
P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona
arXiv preprint arXiv:1501.04686, 2015
512015
Large-scale multimodal gesture recognition using heterogeneous networks
H Wang, P Wang, Z Song, W Li
Proceedings of the IEEE International Conference on Computer Vision, 3129-3137, 2017
492017
Salient Object Detection via Weighted Low Rank Matrix Recovery
C Tang, J Wu, C Zhang, P Wang, W Li
IEEE Signal Processing Letters, 2016
492016
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition
P Wang, W Li, J Wan, P Ogunbona, X Liu
AAAI, 2018
482018
Mining mid-level features for action recognition based on effective skeleton representation
P Wang, W Li, P Ogunbona, Z Gao, H Zhang
2014 International Conference on Digital Image Computing: Techniques and …, 2014
472014
Investigation of different skeleton features for cnn-based 3d action recognition
Z Ding, P Wang, PO Ogunbona, W Li
2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017
442017
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