1 code implementation • ICCV 2021 • Mohammad Amin Shabani, Weilian Song, Makoto Odamaki, Hirochika Fujiki, Yasutaka Furukawa
We evaluate the proposed approach on a dataset of 1029 panorama images with 286 houses.
1 code implementation • 17 Jan 2019 • Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, Nathan Jacobs
An emerging approach for conducting such assessments in the United States is through the US Road Assessment Program (usRAP), which rates roads from highest risk (1 star) to lowest (5 stars).
no code implementations • 24 Jun 2019 • Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata.
no code implementations • 14 Jun 2020 • Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs
Roadway free-flow speed captures the typical vehicle speed in low traffic conditions.
no code implementations • 31 Oct 2020 • Shuman Peng, Weilian Song, Martin Ester
The goal of few-shot classification is to learn a model that can classify novel classes using only a few training examples.
no code implementations • 30 Nov 2023 • Weilian Song, Jieliang Luo, Dale Zhao, Yan Fu, Chin-Yi Cheng, Yasutaka Furukawa
This paper proposes an assistive system for architects that converts a large-scale point cloud into a standardized digital representation of a building for Building Information Modeling (BIM) applications.