| Are transformers effective for time series forecasting? A Zeng, M Chen, L Zhang, Q Xu Proceedings of the AAAI conference on artificial intelligence (AAAI), 2023 …, 2023 | 860 | 2023 |
| Scinet: Time series modeling and forecasting with sample convolution and interaction M Liu, A Zeng, M Chen, Z Xu, Q Lai, L Ma, Q Xu Advances in Neural Information Processing Systems (NeurIPS), 2022 35, 5816-5828, 2022 | 304* | 2022 |
| Human Pose Regression with Residual Log-likelihood Estimation J Li, S Bian, A Zeng, C Wang, B Pang, W Liu, C Lu Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021, 2021 | 187 | 2021 |
| SRNet: Improving generalization in 3d human pose estimation with a split-and-recombine approach A Zeng, X Sun, F Huang, M Liu, Q Xu, S Lin European Conference on Computer Vision (ECCV), 2020, 507-523, 2020 | 182 | 2020 |
| Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation A Zeng, X Sun, L Yang, N Zhao, M Liu, Q Xu Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021, 2021 | 120 | 2021 |
| Humman: Multi-modal 4d human dataset for versatile sensing and modeling Z Cai, D Ren, A Zeng, Z Lin, T Yu, W Wang, X Fan, Y Gao, Y Yu, L Pan, ... European Conference on Computer Vision (ECCV), 2022, 557-577, 2022 | 73 | 2022 |
| DeepFuse: An IMU-aware network for real-time 3D human pose estimation from multi-view image F Huang, A Zeng, M Liu, Q Lai, Q Xu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 66 | 2020 |
| Smoothnet: A plug-and-play network for refining human poses in videos A Zeng, L Yang, X Ju, J Li, J Wang, Q Xu European Conference on Computer Vision (ECCV), 2022, 625-642, 2022 | 65 | 2022 |
| Grounded sam: Assembling open-world models for diverse visual tasks T Ren, S Liu, A Zeng, J Lin, K Li, H Cao, J Chen, X Huang, Y Chen, F Yan, ... arXiv preprint arXiv:2401.14159, 2024 | 62 | 2024 |
| One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer J Lin, A Zeng, H Wang, L Zhang, Y Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023., 2023 | 55 | 2023 |
| Effective Whole-body Pose Estimation with Two-stages Distillation Z Yang, A Zeng, C Yuan, Y Li IEEE Conference on International Conference on Computer Vision (ICCV …, 2023 | 50 | 2023 |
| Explicit box detection unifies end-to-end multi-person pose estimation J Yang, A Zeng, S Liu, F Li, R Zhang, L Zhang International Conference on Learning Representations (ICLR), 2023, 2023 | 46 | 2023 |
| Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR F Li, A Zeng, S Liu, H Zhang, H Li, L Zhang, LM Ni IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023., 2023 | 44 | 2023 |
| Deciwatch: A simple baseline for 10× efficient 2d and 3d pose estimation A Zeng, X Ju, L Yang, R Gao, X Zhu, B Dai, Q Xu European Conference on Computer Vision (ECCV), 2022, 607-624, 2022 | 44 | 2022 |
| ViTKD: Feature-based Knowledge Distillation for Vision Transformers Z Yang, Z Li, A Zeng, Z Li, C Yuan, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 38* | 2024 |
| Dreamwaltz: Make a scene with complex 3d animatable avatars Y Huang, J Wang, A Zeng, H Cao, X Qi, Y Shi, ZJ Zha, L Zhang Advances in Neural Information Processing Systems (NeurIPS), 2023, 2024 | 37 | 2024 |
| Motion-x: A large-scale 3d expressive whole-body human motion dataset J Lin, A Zeng, S Lu, Y Cai, R Zhang, H Wang, L Zhang Advances in Neural Information Processing Systems (NeurIPS), 2023, 2024 | 36 | 2024 |
| From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels Z Yang, A Zeng, Z Li, T Zhang, C Yuan, Y Li IEEE Conference on International Conference on Computer Vision (ICCV), 2023, 2023 | 36 | 2023 |
| Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes X Ju, A Zeng, J Wang, Q Xu, L Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023., 2023 | 30 | 2023 |
| Direct inversion: Boosting diffusion-based editing with 3 lines of code X Ju, A Zeng, Y Bian, S Liu, Q Xu The Twelfth International Conference on Learning Representations (ICLR), 2024, 2023 | 29* | 2023 |
Qiang XuProfessor, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
