Kolya Malkin — accepted AI-conference papers

2019

Label super-resolution networks

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras +3

ICLR 2019poster

We present a deep learning-based method for super-resolving coarse (low-resolution) labels assigned to groups of image pixels into pixel-level (high-resolution) labels, given the joint distribution between those low- and high-resolution labels. This method involves a novel loss function that minimiz…

Cited by 37 Source ↗PDF ↗Scholar ↗

2019

Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina +1

CVPR 2019poster

In this paper we propose multi-resolution data fusion methods for deep learning-based high-resolution land cover mapping from aerial imagery. The land cover mapping problem, at country-level scales, is challenging for common deep learning methods due to the scarcity of high-resolution labels, as wel…

Cited by 124 PDF ↗code ↗Scholar ↗