We present AircraftVerse, a publicly available aerial vehicle design dat...
The recent explosion of high-quality image-to-image methods has prompted...
We address the problem of few-shot classification where the goal is to l...
Computer-aided design (CAD) is a promising new area for the application ...
Machine learning models are prone to making incorrect predictions on inp...
We study the problem of Out-of-Distribution (OOD) detection, that is,
de...
This paper presents an approach to detect out-of-context (OOC) objects i...
Machine learning methods such as deep neural networks (DNNs), despite th...
Deep neural networks (DNNs) are known to produce incorrect predictions w...
This paper proposes a new approach to detecting neural Trojans on Deep N...
Deep neural networks (DNNs) are known to produce incorrect predictions w...
We target the problem of detecting Trojans or backdoors in DNNs. Such mo...
We address the problem of grounding free-form textual phrases by using w...
We tackle the problem of understanding visual ads where given an ad imag...