2 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
Evaluating the efficacy of haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation
Akash K Rao, Arnav Bhavsar, Shubhajit Roy Chowdhury +4
Virtual Reality (VR) has made significant strides, offering users a multitude of ways to interact with virtual environments. Each sensory modality in VR provides distinct inputs an…
Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods
Akash K Rao, Vishnu K Menon, Arnav Bhavsar +3
Attention is the brain's mechanism for selectively processing specific stimuli while filtering out irrelevant information. Characterizing changes in attention following long-term i…
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
Akash K Rao, Shashank Uttrani, Vishnu K Menon +4
Predicting and understanding the changes in cognitive performance, especially after a longitudinal intervention, is a fundamental goal in neuroscience. Longitudinal brain stimulati…