12 citations · 44 across the 15 of their papers we have counts for
6 papers · 1 filter
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
Rohit Gupta, Anirban Roy, Claire Christensen +6
The recent growth in the consumption of online media by children during early childhood necessitates data-driven tools enabling educators to filter out appropriate educational cont…
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models
Indranil Sur, Karan Sikka, Matthew Walmer +5
We present a Multimodal Backdoor Defense technique TIJO (Trigger Inversion using Joint Optimization). Recent work arXiv:2112.07668 has demonstrated successful backdoor attacks on m…
Automatic Measures for Evaluating Generative Design Methods for Architects
Eric Yeh, Briland Hitaj, Vidyasagar Sadhu +3
The recent explosion of high-quality image-to-image methods has prompted interest in applying image-to-image methods towards artistic and design tasks. Of interest for architects i…
Detecting out-of-context objects using contextual cues
Manoj Acharya, Anirban Roy, Kaushik Koneripalli +3
This paper presents an approach to detect out-of-context (OOC) objects in an image. Given an image with a set of objects, our goal is to determine if an object is inconsistent with…
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
Samyak Datta, Karan Sikka, Anirban Roy +3
We address the problem of grounding free-form textual phrases by using weak supervision from image-caption pairs. We propose a novel end-to-end model that uses caption-to-image ret…
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention
Karuna Ahuja, Karan Sikka, Anirban Roy +1
We tackle the problem of understanding visual ads where given an ad image, our goal is to rank appropriate human generated statements describing the purpose of the ad. This problem…