3 papers
cs.CV2025
MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance
Aniket Roy, Maitreya Suin, Ketul Shah +1
Low-Rank Adaptation (LoRA) has gained prominence as a computationally efficient method for fine-tuning generative models, enabling distinct visual concept synthesis with minimal ov…
cs.CV2025
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Arun Reddy, William Paul, Corban Rivera +3
In this work, we tackle the problem of unsupervised domain adaptation (UDA) for video action recognition. Our approach, which we call UNITE, uses an image teacher model to adapt a…
cs.CV2024
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos
Arun Reddy, Ketul Shah, Corban Rivera +3
In this work, we explore the possibility of using synthetically generated data for video-based gesture recognition with large pre-trained models. We consider whether these models h…