Code and Data For Selected Publications

Improving Fine-Grained Visual Classification using Pairwise Confusion
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik.
European Conference on Computer Vision 2018
Code on Github

Accelerating Neural Architecture Search using Performance Prediction
Bowen Baker*, Otkrist Gupta*, Ramesh Raskar, Nikhil Naik.
International Conference on Learning Representations (ICLR) Workshops 2018
Neural Network Learning Curve Data

Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar.
International Conference on Learning Representations (ICLR) 2017
Code on Github

Deep Learning the City: Quantifying Urban Perception At A Global Scale
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, Cesar Hidalgo.
European Conference on Computer Vision (ECCV) 2016
Code on Github
Data file containing image names and pairwise comparisons

Coreset-Based Adaptive Tracking
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, and Ramesh Raskar.
arXiv Preprint 2016
Code on Github

Streetscore – Predicting the Perceived Safety of One Million Streetscapes
Nikhil Naik, Jade Philipoom, Ramesh Raskar, Cesar Hidalgo.
IEEE Computer Vision & Pattern Recognition (CVPR) Workshops 2014
Code for Crowdsourced Game on Github
Data file with Streetscores for New York and Boston