| Learning to navigate for fine-grained classification Z Yang, T Luo, D Wang, Z Hu, J Gao, L Wang Proceedings of the European conference on computer vision (ECCV), 420-435, 2018 | 570 | 2018 |
| Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training HL Renrui Zhang, Ziyu Guo, Peng Gao, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao NeurIPS 2022, 2022 | 152* | 2022 |
| Focalmix: Semi-supervised learning for 3d medical image detection D Wang, Y Zhang, K Zhang, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 134 | 2020 |
| Balanced multimodal learning via on-the-fly gradient modulation X Peng, Y Wei, A Deng, D Wang, D Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 103 | 2022 |
| C^ 3 framework: An open-source pytorch code for crowd counting J Gao, W Lin, B Zhao, D Wang, C Gao, J Wen arXiv preprint arXiv:1907.02724, 2019 | 103 | 2019 |
| Anomaly detection in traffic scenes via spatial-aware motion reconstruction Y Yuan, D Wang, Q Wang IEEE Transactions on Intelligent Transportation Systems 18 (5), 1198-1209, 2016 | 92 | 2016 |
| Neural IR meets graph embedding: A ranking model for product search Y Zhang, D Wang, Y Zhang The World Wide Web Conference, 2390-2400, 2019 | 57 | 2019 |
| Temporal relational modeling with self-supervision for action segmentation D Wang, D Hu, X Li, D Dou Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2729-2737, 2021 | 45 | 2021 |
| Curriculum audiovisual learning D Hu, Z Wang, H Xiong, D Wang, F Nie, D Dou arXiv preprint arXiv:2001.09414, 2020 | 41 | 2020 |
| Gram-gauss-newton method: Learning overparameterized neural networks for regression problems T Cai, R Gao, J Hou, S Chen, D Wang, D He, Z Zhang, L Wang arXiv preprint arXiv:1905.11675, 2019 | 35 | 2019 |
| Early action prediction with generative adversarial networks D Wang, Y Yuan, Q Wang IEEE Access 7, 35795-35804, 2019 | 30 | 2019 |
| A gram-gauss-newton method learning overparameterized deep neural networks for regression problems T Cai, R Gao, J Hou, S Chen, D Wang, D He, Z Zhang, L Wang arXiv preprint arXiv:1905.11675, 2019 | 28 | 2019 |
| Gs-slam: Dense visual slam with 3d gaussian splatting C Yan, D Qu, D Wang, D Xu, Z Wang, B Zhao, X Li arXiv preprint arXiv:2311.11700, 2023 | 25 | 2023 |
| One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field W Li, L Zhang, D Wang, B Zhao, Z Wang, M Chen, B Zhang, Z Wang, Bo, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 25 | 2023 |
| Not all features matter: Enhancing few-shot clip with adaptive prior refinement X Zhu, R Zhang, B He, A Zhou, D Wang, B Zhao, P Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 24 | 2023 |
| Listen to the image D Hu, D Wang, X Li, F Nie, Q Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 21 | 2019 |
| Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning H He, C Bai, K Xu, Z Yang, W Zhang, D Wang, B Zhao, X Li Advances in neural information processing systems 36, 2024 | 18 | 2024 |
| Viewrefer: Grasp the multi-view knowledge for 3d visual grounding Z Guo, Y Tang, R Zhang, D Wang, Z Wang, B Zhao, X Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16* | 2023 |
| Gated forward refinement network for action segmentation D Wang, Y Yuan, Q Wang Neurocomputing 407, 63-71, 2020 | 16 | 2020 |
| Memory-augmented temporal dynamic learning for action recognition Y Yuan, D Wang, Q Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9167-9175, 2019 | 13 | 2019 |
