22 citations · 42 across the 14 of their papers we have counts for
5 papers · 1 filter
SAViR-T: Spatially Attentive Visual Reasoning with Transformers
Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
We present a novel computational model, "SAViR-T", for the family of visual reasoning problems embodied in the Raven's Progressive Matrices (RPM). Our model considers explicit spat…
Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark
Pritish Sahu, Karan Sikka, Ajay Divakaran
We focus on Multimodal Machine Reading Comprehension (M3C) where a model is expected to answer questions based on given passage (or context), and the context and the questions can…
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
Karan Sikka, Jihua Huang, Andrew Silberfarb +6
We improve zero-shot learning (ZSL) by incorporating common-sense knowledge in DNNs. We propose Common-Sense based Neuro-Symbolic Loss (CSNL) that formulates prior knowledge as nov…
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation
Behnam Gholami, Pritish Sahu, Minyoung Kim +1
Domain Adaptation (DA), the process of effectively adapting task models learned on one domain, the source, to other related but distinct domains, the targets, with no or minimal re…
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
Behnam Gholami, Pritish Sahu, Ognjen Rudovic +2
Unsupervised domain adaptation (uDA) models focus on pairwise adaptation settings where there is a single, labeled, source and a single target domain. However, in many real-world s…