| 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 | 1400 | 2018 |
| 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 | 865 | 2017 |
| 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 | 606 | 2017 |
| 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 | 270 | 2018 |
| 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 | 217 | 2019 |
| 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 | 204 | 2019 |
| 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 | 128 | 2020 |
| 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 | 128 | 2019 |
| 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 | 102 | 2018 |
| 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 | 99 | 2021 |
| 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 | 98 | 2019 |
| 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 | 85 | 2018 |
| 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 | 79 | 2021 |
| 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 | 64 | 2021 |
| 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 | 54 | 2021 |
| 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 | 50 | 2021 |
| 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 | 50 | 2020 |
| Discriminative analysis-synthesis dictionary learning for image classification M Yang, H Chang, W Luo Neurocomputing 219, 404-411, 2017 | 50 | 2017 |
| 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 | 48 | 2021 |
| 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 | 41 | 2020 |
Shenghua GaoThe University of Hong KongVerified email at hku.hk
