Shuwei Shao

According to our database, Shuwei Shao authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Peter C. Y. Chen, Zhengguo Li

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking.

Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang, Na Li

Remote. Sens., June, 2024

Sparse Pseudo-LiDAR Depth Assisted Monocular Depth Estimation.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Qiang Liu, Haosong Yue, Zhengguo Li

IEEE Trans. Intell. Veh., January, 2024

URCDC-Depth: Uncertainty Rectified Cross-Distillation With CutFlip for Monocular Depth Estimation.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Ran Li, Zhong Liu, Zhengguo Li

IEEE Trans. Multim., 2024

F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis.

Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang

Eng. Appl. Artif. Intell., 2024

F²Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis.

Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang

CoRR, 2024

Digging into Contrastive Learning for Robust Depth Estimation with Diffusion Models.

Jiyuan Wang, Chunyu Lin, Lang Nie, Kang Liao, Shuwei Shao, Yao Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Self-Supervised Monocular Depth Estimation With Self-Reference Distillation and Disparity Offset Refinement.

Zhong Liu, Ran Li, Shuwei Shao, Xingming Wu, Weihai Chen

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One.

Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

IEEE Trans. Multim., 2023

A geometry-aware deep network for depth estimation in monocular endoscopy.

Yongming Yang, Shuwei Shao, Tao Yang, Peng Wang, Zhuo Yang, Chengdong Wu, Hao Liu

Eng. Appl. Artif. Intell., 2023

MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Dingchi Sun, Peter C. Y. Chen, Zhengguo Li

CoRR, 2023

IEBins: Iterative Elastic Bins for Monocular Depth Estimation.

Shuwei Shao, Zhongcai Pei, Xingming Wu, Zhong Liu, Weihai Chen, Zhengguo Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Monocular Depth Estimation: A Survey.

Dong Wang, Zhong Liu, Shuwei Shao, Xingming Wu, Weihai Chen, Zhengguo Li

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

NDDepth: Normal-Distance Assisted Monocular Depth Estimation.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang

Medical Image Anal., 2022

SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation with Learnable Patchmatch.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li

CoRR, 2022

A multi-scale unsupervised learning for deformable image registration.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

NENet: Monocular Depth Estimation via Neural Ensembles.

Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

CoRR, 2021

Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Baochang Zhang, Xingming Wu, Dianmin Sun, David S. Doermann

Proceedings of the IEEE International Conference on Robotics and Automation, 2021