2 citations · 2 across the 3 of their papers we have counts for
4 papers
Small yet Assistive: Spatially-Aware Post-Training for Low Vision
Rishabh Choudhary, Shreyansh Raj, Umesh Goyal +6
An estimated 1 billion people worldwide live with vision impairment, yet current vision-language models (VLMs) produce descriptions too vague for safe navigation by blind and low-v…
Towards Blind and Low-Vision Accessibility of Lightweight VLMs and Custom LLM-Evals
Shruti Singh Baghel, Yash Pratap Singh Rathore, Sushovan Jena +4
Large Vision-Language Models (VLMs) excel at understanding and generating video descriptions but their high memory, computation, and deployment demands hinder practical use particu…
Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization
Sushovan Jena, Arya Pulkit, Kajal Singh +5
With the rapid advances in deep learning and smart manufacturing in Industry 4.0, there is an imperative for high-throughput, high-performance, and fully integrated visual inspecti…
Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection
Sushovan Jena, Vishwas Saini, Ujjwal Shaw +6
Unsupervised anomaly detection encompasses diverse applications in industrial settings where a high-throughput and precision is imperative. Early works were centered around one-cla…