4 citations · 10 across the 8 of their papers we have counts for
8 papers
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering
Nidhi Hegde, Sujoy Paul, Gagan Madan +1
Recent document question answering models consist of two key components: the vision encoder, which captures layout and visual elements in images, and a Large Language Model (LLM) t…
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models
Debapriya Tula, Sujoy Paul, Gagan Madan +3
Recognizing text lines from images is a challenging problem, especially for handwritten documents due to large variations in writing styles. While text line recognition models are…
Weakly supervised information extraction from inscrutable handwritten document images
Sujoy Paul, Gagan Madan, Akankshya Mishra +3
State-of-the-art information extraction methods are limited by OCR errors. They work well for printed text in form-like documents, but unstructured, handwritten documents still rem…
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
Soumyabrata Pal, Prateek Varshney, Prateek Jain +5
Personalization of machine learning (ML) predictions for individual users/domains/enterprises is critical for practical recommendation systems. Standard personalization approaches…
Novel Class Discovery without Forgetting
K J Joseph, Sujoy Paul, Gaurav Aggarwal +4
Humans possess an innate ability to identify and differentiate instances that they are not familiar with, by leveraging and adapting the knowledge that they have acquired so far. I…
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)
Ashwin Vaswani, Gaurav Aggarwal, Praneeth Netrapalli +1
This paper considers the problem of Hierarchical Multi-Label Classification (HMC), where (i) several labels can be present for each example, and (ii) labels are related via a domai…
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul +6
Current visual detectors, though impressive within their training distribution, often fail to parse out-of-distribution scenes into their constituent entities. Recent test-time ada…
The Beauty of Capturing Faces: Rating the Quality of Digital Portraits
Miriam Redi, Nikhil Rasiwasia, Gaurav Aggarwal +1
Digital portrait photographs are everywhere, and while the number of face pictures keeps growing, not much work has been done to on automatic portrait beauty assessment. In this pa…