2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction
Naval Kishore Mehta, Arvind, Himanshu Kumar +3
Detecting and interpreting operator actions, engagement, and object interactions in dynamic industrial workflows remains a significant challenge in human-robot collaboration resear…
Optimizing Multitask Industrial Processes with Predictive Action Guidance
Naval Kishore Mehta, Arvind, Shyam Sunder Prasad +2
Monitoring complex assembly processes is critical for maintaining productivity and ensuring compliance with assembly standards. However, variability in human actions and subjective…
Gaze-Vector Estimation in the Dark with Temporally Encoded Event-driven Neural Networks
Abeer Banerjee, Naval K. Mehta, Shyam S. Prasad +3
In this paper, we address the intricate challenge of gaze vector prediction, a pivotal task with applications ranging from human-computer interaction to driver monitoring systems.…
ParaColorizer: Realistic Image Colorization using Parallel Generative Networks
Himanshu Kumar, Abeer Banerjee, Sumeet Saurav +1
Grayscale image colorization is a fascinating application of AI for information restoration. The inherently ill-posed nature of the problem makes it even more challenging since the…
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar, Abeer Banerjee, Prashant Sadashiv Gidde +2
Over the past few years, there has been a significant improvement in the domain of few-shot learning. This learning paradigm has shown promising results for the challenging problem…