Karthik Suresh — accepted AI-conference papers

2022

Multilingual Code Snippets Training for Program Translation

Ming Zhu, Karthik Suresh, Chandan K Reddy

AAAI 2022technical

Program translation aims to translate source code from one programming language to another. It is particularly useful in applications such as multiple-platform adaptation and legacy code migration. Traditional rule-based program translation methods usually rely on meticulous manual rule-crafting, wh…

Cited by 53 Source ↗PDF ↗code ↗Scholar ↗

2019

Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang

ICCV 2019poster

Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming increasingly useful. Despite the great success of the generic object detection methods trained on ground-to-ground images, a huge performance drop is observed when they are directly applied to images captured by UAV…

Cited by 88 PDF ↗code ↗Scholar ↗