20 citations · 31 across the 4 of their papers we have counts for
6 papers · 1 filter
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…
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…
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover
Bill Yang Cai, Xiaojiang Li, Ian Seiferling +1
Recent advances in deep learning have made it possible to quantify urban metrics at fine resolution, and over large extents using street-level images. Here, we focus on measuring u…
A novel method for predicting and mapping the presence of sun glare using Google Street View
Xiaojiang Li, Bill Yang Cai, Waishan Qiu +2
The sun glare is one of the major environmental hazards that cause traffic accidents. Every year, many people died and injured in traffic accidents related to sun glare. Providing…