| 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 | 1446 | 2018 |
| 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 | 229 | 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 | 227 | 2019 |
| 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 | 216 | 2022 |
| 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 | 215 | 2019 |
| 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 | 116 | 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 | 105 | 2021 |
| 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 | 99 | 2020 |
| 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 | 97 | 2018 |
| 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 | 86 | 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 | 82 | 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, 2021 | 56 | 2021 |
| 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 | 53 | 2022 |
| 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 | 52 | 2021 |
| 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, 2024 | 45 | 2024 |
| Dataset Quantization D Zhou, K Wang, J Gu, X Peng, D Lian, Y Zhang, Y You, J Feng ICCV2023, 2023 | 43 | 2023 |
| 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 | 43 | 2023 |
| Evaluating capability of deep neural networks for image classification via information plane H Cheng, D Lian, S Gao, Y Geng Proceedings of the European Conference on Computer Vision (ECCV), 168-182, 2018 | 38 | 2018 |
| 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 | 32 | 2019 |
| Utilizing information bottleneck to evaluate the capability of deep neural networks for image classification H Cheng, D Lian, S Gao, Y Geng Entropy 21 (5), 456, 2019 | 32 | 2019 |
Shenghua GaoThe University of Hong KongVerified email at hku.hk