Web: http://arxiv.org/abs/2205.02481

May 6, 2022, 1:10 a.m. | Kai Cheng, Hao Chen, Wei Yin, Guangkai Xu, Xuejin Chen

cs.CV updates on arXiv.org arxiv.org

Multi-view depth estimation plays a critical role in reconstructing and
understanding the 3D world. Recent learning-based methods have made significant
progress in it. However, multi-view depth estimation is fundamentally a
correspondence-based optimization problem, but previous learning-based methods
mainly rely on predefined depth hypotheses to build correspondence as the cost
volume and implicitly regularize it to fit depth prediction, deviating from the
essence of iterative optimization based on stereo correspondence. Thus, they
suffer unsatisfactory precision and generalization capability. In this paper, …

arxiv cv

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC