| 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 | 1833 | 2018 |
| Scaling & shifting your features: A new baseline for efficient model tuning D Lian, D Zhou, J Feng, X Wang Neural Information Processing Systems (NeurIPS), 2022, 2022 | 387 | 2022 |
| As-mlp: An axial shifted mlp architecture for vision D Lian, Z Yu, X Sun, S Gao International Conference on Learning Representations (ICLR), 2022, 2021 | 280 | 2021 |
| 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 | 278 | 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 | 250 | 2019 |
| 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 | 153 | 2021 |
| Single-image piece-wise planar 3d reconstruction via associative embedding Z Yu, J Zheng, D Lian, Z Zhou, S Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 141 | 2019 |
| 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 | 136 | 2021 |
| Believe it or not, we know what you are looking at! D Lian, Z Yu, S Gao Asian Conference on Computer Vision (Oral), 35-50, 2018 | 125 | 2018 |
| Graphadapter: Tuning vision-language models with dual knowledge graph X Li, D Lian, Z Lu, J Bai, Z Chen, X Wang Advances in Neural Information Processing Systems 36, 13448-13466, 2023 | 124 | 2023 |
| Towards Fast Adaptation of Neural Architectures with Meta Learning D Lian, Y Zheng, Y Xu, Y Lu, L Lin, P Zhao, J Huang, S Gao International Conference on Learning Representations (ICLR), 2020, 2020 | 114 | 2020 |
| TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration K Gong*, D Lian*, H Chang, C Guo, X Zuo, Z Jiang, X Wang ICCV2023, 2023 | 110 | 2023 |
| 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 | 96 | 2018 |
| Dataset Quantization D Zhou, K Wang, J Gu, X Peng, D Lian, Y Zhang, Y You, J Feng ICCV2023, 2023 | 94 | 2023 |
| TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting H Hu, S Dong, Y Zhao, D Lian, Z Li, S Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 87 | 2022 |
| Priority-Centric Human Motion Generation in Discrete Latent Space H Kong, K Gong, D Lian, MB Mi, X Wang ICCV2023, 2023 | 77 | 2023 |
| 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, 2021 | 75 | 2021 |
| Crowd counting with partial annotations in an image Y Xu, Z Zhong, D Lian, J Li, Z Li, X Xu, S Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 60 | 2021 |
| RGBD based gaze estimation via multi-task CNN D Lian, Z Zhang, W Luo, L Hu, M Wu, Z Li, J Yu, S Gao Proceedings of the AAAI conference on artificial intelligence 33 (01), 2488-2495, 2019 | 46 | 2019 |
| iquery: Instruments as queries for audio-visual sound separation J Chen, R Zhang, D Lian, J Yang, Z Zeng, J Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
Shenghua GaoThe University of Hong KongVerified email at hku.hk
