2 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime
Abeer Banerjee, Sanjay Singh
The field of computational imaging has witnessed a promising paradigm shift with the emergence of untrained neural networks, offering novel solutions to inverse computational imagi…
Towards Physics-informed Cyclic Adversarial Multi-PSF Lensless Imaging
Abeer Banerjee, Sanjay Singh
Lensless imaging has emerged as a promising field within inverse imaging, offering compact, cost-effective solutions with the potential to revolutionize the computational camera ma…
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…