4 papers
CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real Videos
Tejas Panambur, Ishan Rajendrakumar Dave, Chongjian Ge +2
Modern text-to-video (T2V) diffusion models can synthesize visually compelling clips, yet they remain brittle at fine-scale structure: even state-of-the-art generators often produc…
Foundation Models for Astrobiology: Paper I -- Workshop and Overview
Ryan Felton, Caleb Scharf, Stuart Bartlett +18
Advances in machine learning over the past decade have resulted in a proliferation of algorithmic applications for encoding, characterizing, and acting on complex data that may con…
Enhancing Martian Terrain Recognition with Deep Constrained Clustering
Tejas Panambur, Mario Parente
Martian terrain recognition is pivotal for advancing our understanding of topography, geomorphology, paleoclimate, and habitability. While deep clustering methods have shown promis…
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
Tejas Panambur, Deep Chakraborty, Melissa Meyer +3
Automatic terrain recognition in Mars rover images is an important problem not just for navigation, but for scientists interested in studying rock types, and by extension, conditio…