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20202026
most citedRobust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention

15 citations · 73 across the 24 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

quant-ph2022

Quantum-Inspired Optimization over Permutation Groups

Rathi Munukur, Bhaskar Roy Bardhan, Devesh Upadhyay +1

Quantum-inspired optimization (QIO) algorithms are computational techniques that emulate certain quantum mechanical effects on a classical hardware to tackle a class of optimizatio…

cond-mat.mtrl-sci2022★ 2 cited

A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models

Devesh Shah, Anirudh Suresh, Alemayehu Admasu +2

The evaluation of synthetic micro-structure images is an emerging problem as machine learning and materials science research have evolved together. Typical state of the art methods…

cs.CV2022★ 4 cited

Real-Time Driver Monitoring Systems through Modality and View Analysis

Yiming Ma, Victor Sanchez, Soodeh Nikan +3

Driver distractions are known to be the dominant cause of road accidents. While monitoring systems can detect non-driving-related activities and facilitate reducing the risks, they…

cs.CV2022

Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup

Hongjiang Li, Huanyi Shui, Alemayehu Admasu +2

Image classification with deep neural networks has seen a surge of technological breakthroughs with promising applications in areas such as face recognition, medical imaging, and a…

eess.SY2022★ 13 cited

Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles

Tamas G. Molnar, Michael Hopka, Devesh Upadhyay +2

This work gives introduction to traffic control by connected automated vehicles. The influence of vehicle control on vehicular traffic and traffic control strategies are discussed…

cs.LG2022★ 1 cited

BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training

Kaushik Balakrishnan, Devesh Upadhyay

The task of 2D human pose estimation is challenging as the number of keypoints is typically large (~ 17) and this necessitates the use of robust neural network architectures and tr…