| DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation Z Li, Z Chen, X Liu, J Jiang Machine Intelligence Research, 2022 | 176 | 2022 |
| BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation Z Li, X Wang, X Liu, J Jiang Transactions on Image Processing, 2022 | 168 | 2022 |
| AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3d Object Detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao ECCV 2022, 2022 | 120* | 2022 |
| AutoAlign: Pixel-Instance Feature Aggregation for Multi-modal 3D Object Detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao, B Zhou, H Zhao IJCAI 2022, 2022 | 118 | 2022 |
| BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao ICLR 2023, 2022 | 70 | 2022 |
| SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-aware Visual Representations Z Li, Z Chen, A Li, L Fang, Q Jiang, X Liu, J Jiang, B Zhou, H Zhao AAAI 2022, 2022 | 63 | 2022 |
| Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao ACMM MM 2022, 2022 | 54 | 2022 |
| Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report A Ignatov, G Malivenko, D Plowman, S Shukla, R Timofte CVPRW 2021, 2021 | 43 | 2021 |
| Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training Z Li, Z Chen, A Li, L Fang, Q Jiang, X Liu, J Jiang ECCV 2022, 2022 | 42 | 2022 |
| 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 | 26 | 2023 |
| Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report A Ignatov, G Malivenko, R Timofte, L Treszczotko, X Chang, P Ksiazek, ... ECCVW 2022, 2022 | 16 | 2022 |
| PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation Z Li, SF Bhat, P Wonka CVPR 2024, 2023 | 13 | 2023 |
| Learning from Noisy Data for Semi-Supervised 3D Object Detection Z Chen, Z Li, S Wang, D Fu, F Zhao ICCV 2023, 2023 | 7 | 2023 |
| Towards Model Generalization for Monocular 3D Object Detection Z Li, Z Chen, A Li, L Fang, Q Jiang, X Liu, J Jiang arXiv preprint arXiv:2205.11664, 2022 | 4 | 2022 |
| Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection Z Li, Z Zhang, H Fan, Y He, K Wang, X Liu, J Jiang arXiv preprint arXiv:2303.11243, 2023 | 3 | 2023 |
| PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation Z Li, SF Bhat, P Wonka ECCV 2024, 2024 | 2 | 2024 |
| ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning J Shi, Z Li, P Wonka arXiv preprint arXiv:2410.00262, 2024 | 1 | 2024 |
| LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices Z Li, Z Chen, J Xu, X Liu, J Jiang ECCVW 2022, 2023 | 1 | 2023 |
| StereoCrafter-Zero: Zero-Shot Stereo Video Generation with Noisy Restart J Shi, Q Wang, Z Li, P Wonka arXiv preprint arXiv:2411.14295, 2024 | | 2024 |
| Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object Detection Z Chen, Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Wu, F Zhao Transactions on Image Processing, 2024 | | 2024 |
Zehui ChenUSTCBestätigte E-Mail-Adresse bei mail.ustc.edu.cn
