7 citations · 11 across the 6 of their papers we have counts for
6 papers
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Marathe
Large vision-language models are steadily gaining personalization capabilities at the cost of fine-tuning or data augmentation. We present two models for image generation using mod…
t-RAIN: Robust generalization under weather-aliasing label shift attacks
Aboli Marathe, Sanjana Prabhu
In the classical supervised learning settings, classifiers are fit with the assumption of balanced label distributions and produce remarkable results on the same. In the real world…
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models
Aboli Marathe, Deva Ramanan, Rahee Walambe +1
The open road poses many challenges to autonomous perception, including poor visibility from extreme weather conditions. Models trained on good-weather datasets frequently fail at…
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems
Aboli Marathe, Pushkar Jain, Rahee Walambe +1
Modern applications such as self-driving cars and drones rely heavily upon robust object detection techniques. However, weather corruptions can hinder the object detectability and…
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles
Aboli Marathe, Rahee Walambe, Ketan Kotecha
Several popular computer vision (CV) datasets, specifically employed for Object Detection (OD) in autonomous driving tasks exhibit biases due to a range of factors including weathe…
Investigating the Relationship Between World Development Indicators and the Occurrence of Disease Outbreaks in the 21st Century: A Case Study
Aboli Marathe, Harsh Sakhrani, Saloni Parekh
The timely identification of socio-economic sectors vulnerable to a disease outbreak presents an important challenge to the civic authorities and healthcare workers interested in o…