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 …, 2018 | 1514 | 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 | 927 | 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 | 652 | 2017 |
Liquid warping gan: A unified framework for human motion imitation, appearance transfer and novel view synthesis W Liu, Z Piao, J Min, W Luo, L Ma, S Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 317 | 2019 |
Executing your Commands via Motion Diffusion in Latent Space X Chen, B Jiang, W Liu, Z Huang, B Fu, T Chen, J Yu, G Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 309 | 2023 |
MotionGPT: Human Motion as a Foreign Language B Jiang, X Chen, W Liu, J Yu, G Yu, T Chen Advances in Neural Information Processing Systems, 2023, 2023 | 258 | 2023 |
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 | 237 | 2019 |
Deepseek llm: Scaling open-source language models with longtermism X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong arXiv preprint arXiv:2401.02954 2 (4), 8, 2024 | 201 | 2024 |
DeepSeek-VL: Towards Real-World Vision-Language Understanding H Lu, W Liu, B Zhang, B Wang, K Dong, B Liu, J Sun, T Ren, Z Li, Y Sun, ... arXiv preprint arXiv:2403.05525, 2024 | 196 | 2024 |
Appearance-Motion Memory Consistency Network for Video Anomaly Detection R Cai, H Zhang, W Liu, S Gao, Z Hao Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 938-946, 2021 | 196 | 2021 |
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 Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 143 | 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 | 137 | 2019 |
DeepSeek-V2: A strong, economical, and efficient mixture-of-experts language model AL DeepSeek-AI, B Feng, B Wang, B Wang, B Liu, C Zhao, C Dengr, ... arXiv preprint arXiv:2405.04434, 2024 | 109 | 2024 |
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 | 109 | 2018 |
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior J Sun, B Zhang, R Shao, L Wang, W Liu, Z Xie, Y Liu arXiv preprint arXiv:2310.16818, 2023 | 95 | 2023 |
Future frame prediction network for video anomaly detection W Luo, W Liu, D Lian, S Gao IEEE transactions on pattern analysis and machine intelligence 44 (11), 7505 …, 2021 | 94 | 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 | 72 | 2021 |
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates S Qian, Z Tu, Y Zhi, W Liu, S Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 72 | 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 | 55 | 2021 |
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation Z Zhao, W Liu, X Chen, X Zeng, R Wang, P Cheng, B Fu, T Chen, G Yu, ... Advances in Neural Information Processing Systems, 2023, 2023 | 53 | 2023 |