no code implementations • 20 Apr 2018 • Shaohui Sun, Ramesh Sarukkai, Jack Kwok, Vinay Shet
We propose a method to train a geo-spatial deep neural network (CNN+LSTM) to predict accurate geo-locations (latitude and longitude) using only ordinary ground imagery and low accuracy phone-grade GPS.
no code implementations • 17 Dec 2015 • Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay Shet, Julian Ibarz, Sacha Arnoud
Precise business store front detection enables accurate geo-location of businesses, and further provides input for business categorization, listing generation, etc.
no code implementations • CVPR 2015 • Yair Movshovitz-Attias, Qian Yu, Martin C. Stumpe, Vinay Shet, Sacha Arnoud, Liron Yatziv
Modern search engines receive large numbers of business related, local aware queries.
17 code implementations • 20 Dec 2013 • Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, Vinay Shet
In this paper we propose a unified approach that integrates these three steps via the use of a deep convolutional neural network that operates directly on the image pixels.
Ranked #30 on Image Classification on SVHN