| Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion X Wu, L Peng, H Yang, L Xie, C Huang, C Deng, H Liu, D Cai CVPR 2022 (Oral), 2022 | 146 | 2022 |
| Lidar point cloud guided monocular 3d object detection L Peng, F Liu, Z Yu, S Yan, D Deng, Z Yang, H Liu, D Cai ECCV 2022, 2022 | 47 | 2022 |
| DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection L Peng, X Wu, Z Yang, H Liu, D Cai ECCV 2022, 2022 | 44 | 2022 |
| MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection J Xu, L Peng, H Cheng, H Li, W Qian, K Li, W Wang, D Cai ICCV 2023, 2023 | 17 | 2023 |
| WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection L Peng, S Yan, B Wu, Z Yang, X He, D Cai ICLR 2022, 2022 | 17 | 2022 |
| OCM3D: object-centric monocular 3D object detection L Peng, F Liu, S Yan, X He, D Cai arXiv preprint arXiv:2104.06041, 2021 | 13 | 2021 |
| The robodepth challenge: Methods and advancements towards robust depth estimation L Kong, Y Niu, S Xie, H Hu, LX Ng, BR Cottereau, D Zhao, L Zhang, ... arXiv preprint arXiv:2307.15061, 2023 | 6 | 2023 |
| Learning occupancy for monocular 3d object detection L Peng, J Xu, H Cheng, Z Yang, X Wu, W Qian, W Wang, B Wu, D Cai CVPR 2024, 2023 | 5 | 2023 |
| Geometry-based occlusion-aware unsupervised stereo matching for autonomous driving L Peng, D Deng, D Cai arXiv preprint arXiv:2010.10700, 2020 | 4 | 2020 |
| Boosting Semi-Supervised 3D Object Detection with Semi-Sampling X Wu, Y Zhao, L Peng, H Chen, X Huang, B Lin, H Liu, D Cai, W Ouyang arXiv preprint arXiv:2211.07084, 2022 | 3 | 2022 |
| Domain Reconstruction and Resampling for Robust Salient Object Detection S Yan, L Peng, C Yu, Z Yang, H Liu, D Cai ACM MM 2022, 5417-5426, 2022 | 3 | 2022 |
| Local Conditional Controlling for Text-to-Image Diffusion Models Y Zhao, L Peng, Y Yang, Z Luo, H Li, Y Chen, W Zhao, W Liu, B Wu arXiv preprint arXiv:2312.08768, 2023 | 2 | 2023 |
| Digging into output representation for monocular 3D object detection L Peng, S Yan, C Huang, X He, D Cai | 2 | 2021 |
| Regulating intermediate 3D features for vision-centric autonomous driving J Xu, L Peng, H Cheng, L Xia, Q Zhou, D Deng, W Qian, W Wang, D Cai AAAI 2024, 2024 | 1 | 2024 |
| Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection Z Zhang, M Chen, S Xiao, L Peng, H Li, B Lin, P Li, W Wang, B Wu, D Cai arXiv preprint arXiv:2404.19384, 2024 | | 2024 |
| Temporal Feature Fusion for 3D Detection in Monocular Video H Cheng, L Peng, Z Yang, B Lin, X He, B Wu IEEE Transactions on Image Processing, 2024 | | 2024 |
| Semi-supervised 3D Object Detection with PatchTeacher and PillarMix X Wu, L Peng, L Xie, Y Hou, B Lin, X Huang, H Liu, D Cai, W Ouyang AAAI 2024, 2024 | | 2024 |
| LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models Y Yang, W Wang, L Peng, C Song, Y Chen, H Li, X Yang, Q Lu, D Cai, ... arXiv preprint arXiv:2403.11627, 2024 | | 2024 |
| Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning L Peng, H Cheng, Z Yang, R Zhao, L Xia, C Song, Q Lu, W Liu, B Wu arXiv preprint arXiv:2311.17536, 2023 | | 2023 |
| Object-level Data Augmentation for Visual 3D Object Detection in Autonomous Driving H Cheng, J Xu, L Peng, Q Zhou, L Xia, B Wu, X He | | 2023 |
