121 citations · 295 across the 22 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 1 cited
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen +2
Recent success suggests that deep neural control networks are likely to be a key component of self-driving vehicles. These networks are trained on large datasets to imitate human a…
q-fin.ST2019★ 121 cited
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Raehyun Kim, Chan Ho So, Minbyul Jeong +3
Many researchers both in academia and industry have long been interested in the stock market. Numerous approaches were developed to accurately predict future trends in stock prices…
cs.CV2019★ 5 cited
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Ye Xia, Jinkyu Kim, John Canny +2
Inspired by human vision, we propose a new periphery-fovea multi-resolution driving model that predicts vehicle speed from dash camera videos. The peripheral vision module of the m…