| Self-supervised Monocular Depth and Ego-motion Estimation in Endoscopy: Appearance Flow to the Rescue S Shao, Z Pei, W Chen, W Zhu, X Wu, D Sun, B Zhang Medical Image Analysis (MedIA), 2022 | 96 | 2022 |
| IEBins: Iterative Elastic Bins for Monocular Depth Estimation S Shao, Z Pei, X Wu, Z Liu, W Chen, Z Li Advances in Neural Information Processing Systems (NeurIPS), 2023 | 52 | 2023 |
| NDDepth: Normal-distance Assisted Monocular Depth Estimation S Shao, Z Pei, W Chen, X Wu, Z Li International Conference on Computer Vision (ICCV, Oral), 2023 | 51 | 2023 |
| URCDC-Depth: Uncertainty Rectified Cross-distillation with CutFlip for Monocular Depth Estimation S Shao, Z Pei, W Chen, R Li, Z Liu, Z Li IEEE Transactions on Multimedia (TMM), 2023 | 37 | 2023 |
| Self-supervised Monocular Depth Estimation with Self-reference Distillation and Disparity Offset Refinement Z Liu, R Li, S Shao, X Wu, W Chen IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 | 36 | 2023 |
| A Geometry-aware Deep Network for Depth Estimation in Monocular Endoscopy Y Yang, S Shao, T Yang, P Wang, Z Yang, C Wu, H Liu Engineering Applications of Artificial Intelligence (EAAI), 2023 | 23 | 2023 |
| Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better than One S Shao, R Li, Z Pei, Z Liu, W Chen, W Zhu, X Wu, B Zhang IEEE Transactions on Multimedia (TMM), 2022 | 19* | 2022 |
| Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes S Shao, Z Pei, W Chen, B Zhang, X Wu, D Sun, D Doermann International Conference on Robotics and Automation (ICRA, Oral), 2021 | 17 | 2021 |
| A Multi-scale Unsupervised Learning for Deformable Image Registration S Shao, Z Pei, W Chen, W Zhu, X Wu, B Zhang International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022 | 9 | 2022 |
| Sparse Pseudo-LiDAR Depth Assisted Monocular Depth Estimation S Shao, Z Pei, W Chen, Q Liu, H Yue, Z Li IEEE Transactions on Intelligent Vehicles (TIV), 2023 | 7 | 2023 |
| MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model S Shao, Z Pei, W Chen, D Sun, PCY Chen, Z Li IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024 | 5 | 2024 |
| NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion S Shao, Z Pei, W Chen, PCY Chen, Z Li IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 4 | 2024 |
| F2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis X Guo, H Zhao, S Shao, X Li, B Zhang Engineering Applications of Artificial Intelligence (EAAI), 2024 | 3 | 2024 |
| SMUDLP: Self-teaching Multi-frame Unsupervised Endoscopic Depth Estimation with Learnable Patchmatch S Shao, Z Pei, W Chen, X Wu, Z Liu, Z Li arXiv preprint arXiv:2205.15034, 2022 | 2 | 2022 |
| Digging into Contrastive Learning for Robust Depth Estimation with Diffusion Models J Wang, C Lin, L Nie, K Liao, S Shao, Y Zhao ACM International Conference on Multimedia (ACM MM), 2024 | 1 | 2024 |
| IEBins: Iterative Elastic Bins for Monocular Depth Estimation and Completion S Shao, Z Pei, W Chen, PCY Chen, Z Li International Journal of Computer Vision (IJCV), 2024 | | 2024 |
| SPDepth: Enhancing Self-Supervised Indoor Monocular Depth Estimation via Self-Propagation X Guo, H Zhao, S Shao, X Li, B Zhang, N Li Future Internet (FI) 16 (10), 375, 2024 | | 2024 |
| SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking X Guo, H Zhao, S Shao, X Li, B Zhang, N Li Remote Sensing (RS), 2024 | | 2024 |
| Supplementary Material IEBins: Iterative Elastic Bins for Monocular Depth Estimation S Shao, Z Pei, X Wu, Z Liu, W Chen, Z Li | | |
Weihai ChenBeihang UniversityZweryfikowany adres z buaa.edu.cn