58 citations · 59 across the 6 of their papers we have counts for
6 papers
VaPR -- Vision-language Preference alignment for Reasoning
Rohan Wadhawan, Fabrice Y Harel-Canada, Zi-Yi Dou +3
Preference finetuning methods like Direct Preference Optimization (DPO) with AI-generated feedback have shown promise in aligning Large Vision-Language Models (LVLMs) with human pr…
The Curious Language Model: Strategic Test-Time Information Acquisition
Michael Cooper, Rohan Wadhawan, John Michael Giorgi +2
Decision-makers often possess insufficient information to render a confident decision. In these cases, the decision-maker can often undertake actions to acquire the necessary infor…
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang +1
Many real-world tasks require an agent to reason jointly over text and visual objects, (e.g., navigating in public spaces), which we refer to as context-sensitive text-rich visual…
Multi-Attributed and Structured Text-to-Face Synthesis
Rohan Wadhawan, Tanuj Drall, Shubham Singh +1
Generative Adversarial Networks (GANs) have revolutionized image synthesis through many applications like face generation, photograph editing, and image super-resolution. Image syn…
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images
Rohan Wadhawan, Tapan K. Gandhi
Facial Expression Recognition from static images is a challenging problem in computer vision applications. Convolutional Neural Network (CNN), the state-of-the-art method for vario…
Intelligent Monitoring of Stress Induced by Water Deficiency in Plants using Deep Learning
Shiva Azimi, Rohan Wadhawan, Tapan K. Gandhi
In the recent decade, high-throughput plant phenotyping techniques, which combine non-invasive image analysis and machine learning, have been successfully applied to identify and q…