| Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving X Ma, Z Wang, H Li, P Zhang, W Ouyang, X Fan International Conference on Computer Vision (ICCV), 2019 | 344 | 2019 |
| Delving into Localization Errors for Monocular 3D Object Detection X Ma, Y Zhang, D Xu, D Zhou, S Yi, H Li, W Ouyang Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 215 | 2021 |
| Geometry Uncertainty Projection Network for Monocular 3D Object Detection Y Lu, X Ma, L Yang, T Zhang, Y Liu, Q Chu, J Yan, W Ouyang International Conference on Computer Vision (ICCV), 2021 | 201 | 2021 |
| Rethinking Pseudo-LiDAR Representation X Ma, S Liu, Z Xia, H Zhang, X Zeng, W Ouyang European Conference on Computer Vision (ECCV), 2020 | 198 | 2020 |
| User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks Y Ci, X Ma, Z Wang, H Li, Z Luo ACM International Conference on Multimedia (ACM MM), 1536-1544, 2018 | 157 | 2018 |
| MonoDistill: Learning Spatial Features for Monocular 3D Object Detection Z Chong, X Ma, H Zhang, Y Yue, H Li, Z Wang, W Ouyang International Conference on Learning Representations (ICLR), 2022 | 93 | 2022 |
| 3D Object Detection from Images for Autonomous Driving: A Survey X Ma, W Ouyang, A Simonelli, E Ricci IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 72 | 2022 |
| An Efficient Protocol with Bidirectional Verification for Storage Security in Cloud Computing B Feng, X Ma, C Guo, H Shi, Z Fu, T Qiu IEEE Access 4, 7899-7911, 2016 | 41 | 2016 |
| Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation D Zong, Z Qiu, X Ma, K Yang, C Liu, J Hou, S Yi, W Ouyang International Conference on Learning Representations (ICLR), 2022 | 39* | 2022 |
| Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection Y Zhang, X Ma, S Yi, J Hou, Z Wang, W Ouyang, D Xu arXiv preprint arXiv:2107.13931, 2021 | 31 | 2021 |
| Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting W Lin, K Yang, X Ma, J Gao, L Liu, S Liu, J Hou, S Yi, AB Chan British Machine Vision Conference (BMVC), 2022 | 22 | 2022 |
| Rethinking the BERT-like Pretraining for DNA Sequences C Liang, W Bai, L Qiao, Y Ren, J Sun, P Ye, H Yan, X Ma, W Zuo, ... arXiv preprint arXiv:2310.07644, 2023 | 6 | 2023 |
| GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection Y Lu, X Ma, L Yang, T Zhang, Y Liu, Q Chu, T He, Y Li, W Ouyang arXiv preprint arXiv:2310.15624, 2023 | 5 | 2023 |
| Retraining-free Model Quantization via One-Shot Weight-Coupling Learning C Tang, Y Meng, J Jiang, S Xie, R Lu, X Ma, Z Wang, W Zhu Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 3 | 2024 |
| Learning to Segment Unseen Category Objects using Gradient Gaussian Attention P Zhang, Z Wang, X Ma, H Li, J Li International Conference on Multimedia and Expo (ICME), 1636-1641, 2019 | 3 | 2019 |
| Push-and-Pull: A General Training Framework with Differential Augmentor for Domain Generalized Point Cloud Classification J Xu, X Ma, L Zhang, B Zhang, T Chen IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024 | 2 | 2024 |
| Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection X Ma, Y Wang, Y Zhang, Z Xia, Y Meng, Z Wang, H Li, W Ouyang International Conference on Computer Vision (ICCV), 6425-6435, 2023 | 2 | 2023 |
| An Empirical Study of Pseudo-labeling for Image-based 3D Object Detection X Ma, Y Meng, Y Zhang, L Bai, J Hou, S Yi, W Ouyang arXiv preprint arXiv:2208.07137, 2022 | 2 | 2022 |
| Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers L Chen, Y Meng, C Tang, X Ma, J Jiang, X Wang, Z Wang, W Zhu arXiv preprint arXiv:2406.17343, 2024 | 1 | 2024 |
| ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention M Li, Y Tan, X Ma, B Zhong, H Yu, Z Zhou, W Ouyang, B Zhou, L Hong, ... bioRxiv, 2024.04. 15.589672, 2024 | 1 | 2024 |
Wanli Ouyang (欧阳万里)Shanghai AI Lab在 sydney.edu.au 的电子邮件经过验证
