70 citations · 143 across the 8 of their papers we have counts for
8 papers
DAMSL: Domain Agnostic Meta Score-based Learning
John Cai, Bill Cai, Shengmei Shen
In this paper, we propose Domain Agnostic Meta Score-based Learning (DAMSL), a novel, versatile and highly effective solution that delivers significant out-performance over state-o…
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning
John Cai, Bill Cai, Sheng Mei Shen
While many deep learning methods have seen significant success in tackling the problem of domain adaptation and few-shot learning separately, far fewer methods are able to jointly…
Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks
Bill Cai, Xiaojiang Li, Carlo Ratti
Urban canopy cover is important to mitigate the impact of climate change. Yet, existing quantification of urban greenery is either manual and not scalable, or use traditional compu…
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Bill Yang Cai, Ricardo Alvarez, Michelle Sit +2
Parking spaces are costly to build, parking payments are difficult to enforce, and drivers waste an excessive amount of time searching for empty lots. Accurate quantification would…
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations
Zhoutong Wang, Qianhui Liang, Fabio Duarte +5
Legibility is the extent to which a space can be easily recognized. Evaluating legibility is particularly desirable in indoor spaces, since it has a large impact on human behavior…
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence
Yuji Yoshimura, Bill Cai, Zhoutong Wang +1
This paper applies state-of-the-art techniques in deep learning and computer vision to measure visual similarities between architectural designs by different architects. Using a da…