13 citations · 31 across the 26 of their papers we have counts for
28 papers
ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching
Prashant Pandey, Devineni Sri Venkatraya Chowdary, Brejesh Lall
Diffusion models for structured scientific generation must produce samples satisfying hard geometric constraints imposed by physics, chemistry, or biology, yet inference in these s…
On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos
Darakshan Rashid, Raza Imam, Ufaq Khan +9
Temporal vision-language models (TVLMs) offer a reusable, prompt-based interface for surgical video understanding, yet, their robustness under clinically realistic acquisition arti…
Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs
Raza Imam, Darakshan Rashid, Yutong Xie +3
Medical vision-language models (MVLMs) promise broad zero-shot generalization, yet their reliability collapses when confronted with unseen modalities and domains, precisely where c…
T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining
Tayeba Qazi, Ayush Maheshwari, Prerana Mukherjee +1
Thermal imaging offers a powerful alternative to visible-spectrum vision under challenging conditions such as low illumination and adverse weather, yet foundational vision-language…
Continual Segmentation under Joint Nonstationarity
Prashant Pandey, Himanshu Kumar, Devineni Sri Venkatraya Chowdary +1
Evolving data streams induce joint nonstationarity in continual semantic segmentation, where semantic classes, input distributions, and supervision availability change simultaneous…
Prompt Codebooks: Discrete Compositional Optimization for Language Model Instruction Refinement
Jyotirmoy Nath, Neeraj Kumar, Brejesh Lall
Automatic prompt optimization (APO) has driven significant gains in LLM-based agentic workflows. However, most existing methods treat each task's prompt as a monolithic, instance-b…