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Weixin Luo
Weixin Luo
Meituan
Verified email at shanghaitech.edu.cn - Homepage
Title
Cited by
Cited by
Year
Future Frame Prediction for Anomaly Detection–A New Baseline
W Liu, W Luo, D Lian, S Gao
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
12832018
A revisit of sparse coding based anomaly detection in stacked rnn framework
W Luo, W Liu, S Gao
Proceedings of the IEEE international conference on computer vision, 341-349, 2017
7802017
Remembering history with convolutional lstm for anomaly detection
W Luo, W Liu, S Gao
2017 IEEE International conference on multimedia and expo (ICME), 439-444, 2017
5762017
Face aging with identity-preserved conditional generative adversarial networks
Z Wang, X Tang, W Luo, S Gao
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2592018
Video anomaly detection with sparse coding inspired deep neural networks
W Luo, W Liu, D Lian, J Tang, L Duan, X Peng, S Gao
IEEE transactions on pattern analysis and machine intelligence 43 (3), 1070-1084, 2019
1942019
Density map regression guided detection network for rgb-d crowd counting and localization
D Lian, J Li, J Zheng, W Luo, S Gao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1852019
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
K Zhou, Y Xiao, J Yang, J Cheng, W Liu, W Luo, Z Gu, J Liu, S Gao
European Conference on Computer Vision, 2020
1202020
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies.
W Liu, W Luo, Z Li, P Zhao, S Gao
IJCAI 3, 023-3, 2019
1132019
Ppgnet: Learning point-pair graph for line segment detection
Z Zhang, Z Li, N Bi, J Zheng, J Wang, K Huang, W Luo, Y Xu, S Gao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
962019
Multi-cell multi-task convolutional neural networks for diabetic retinopathy grading
K Zhou, Z Gu, W Liu, W Luo, J Cheng, S Gao, J Liu
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
942018
Look before you leap: Learning landmark features for one-stage visual grounding
B Huang, D Lian, W Luo, S Gao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
802021
Multiview multitask gaze estimation with deep convolutional neural networks
D Lian, L Hu, W Luo, Y Xu, L Duan, J Yu, S Gao
IEEE transactions on neural networks and learning systems 30 (10), 3010-3023, 2018
792018
Future Frame Prediction Network for Video Anomaly Detection
W Luo, W Liu, D Lian, S Gao
IEEE transactions on pattern analysis and machine intelligence, 2021
602021
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection
W Luo, W Liu, S Gao
Neurocomputing 444, 332-337, 2021
562021
Discriminative analysis-synthesis dictionary learning for image classification
M Yang, H Chang, W Luo
Neurocomputing 219, 404-411, 2017
502017
Memorizing structure-texture correspondence for image anomaly detection
K Zhou, J Li, Y Xiao, J Yang, J Cheng, W Liu, W Luo, J Liu, S Gao
IEEE transactions on neural networks and learning systems 33 (6), 2335-2349, 2021
442021
Amodal segmentation based on visible region segmentation and shape prior
Y Xiao, Y Xu, Z Zhong, W Luo, J Li, S Gao
AAAI 2021, 2021
432021
Locating and counting heads in crowds with a depth prior
D Lian, X Chen, J Li, W Luo, S Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9056 …, 2021
422021
Password-conditioned anonymization and deanonymization with face identity transformers
X Gu, W Luo, MS Ryoo, YJ Lee
European conference on computer vision, 727-743, 2020
372020
Multi-level feature fusion based locality-constrained spatial transformer network for video crowd counting
Y Fang, S Gao, J Li, W Luo, L He, B Hu
Neurocomputing 392, 98-107, 2020
372020
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