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Abhijit Sarkar
Abhijit Sarkar
Senior Research Associate, Team Leader, Virginia Tech
Bestätigte E-Mail-Adresse bei vt.edu
Titel
Zitiert von
Zitiert von
Jahr
Gcnnmatch: Graph convolutional neural networks for multi-object tracking via sinkhorn normalization
I Papakis, A Sarkar, A Karpatne
arXiv preprint arXiv:2010.00067, 2020
672020
Biometric authentication using photoplethysmography signals
A Sarkar, AL Abbott, Z Doerzaph
2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016
582016
Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach
A Sarkar, JS Hickman, AD McDonald, W Huang, T Vogelpohl, G Markkula
Accident Analysis & Prevention 154, 106055, 2021
192021
Convolutional neural network-based in-vehicle occupant detection and classification method using second strategic highway research program cabin images
I Papakis, A Sarkar, A Svetovidov, JS Hickman, AL Abbott
Transportation research record 2675 (8), 443-457, 2021
172021
ECG biometric authentication using a dynamical model
A Sarkar, AL Abbott, Z Doerzaph
2015 IEEE 7th international conference on biometrics theory, applications …, 2015
172015
Unravelling the complexity of irregular shiftwork, fatigue and sleep health for commercial drivers and the associated implications for roadway safety
JE Mabry, M Camden, A Miller, A Sarkar, A Manke, C Ridgeway, ...
International journal of environmental research and public health 19 (22), 14780, 2022
102022
Universal skin detection without color information
A Sarkar, AL Abbott, Z Doerzaph
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 20-28, 2017
102017
Evaluation of video magnification for nonintrusive heart rate measurement
A Sarkar, AL Abbott, Z Doerzaph, K Sykes
2016 IEEE First International Conference on Control, Measurement and …, 2016
102016
Color invariant skin segmentation
H Xu, A Sarkar, AL Abbott
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
Assessment of psychophysiological characteristics using heart rate from naturalistic face video data
ZD Abhijit Sarkar, A Lynn Abbott
Biometrics (IJCB), 2014 IEEE International Joint Conference on, 1-6, 2014
9*2014
A graph convolutional neural network based approach for traffic monitoring using augmented detections with optical flow
I Papakis, A Sarkar, A Karpatne
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
62021
Camera-based recovery of cardiovascular signals from unconstrained face videos using an attention network
Y Deshpande, S Thapa, A Sarkar, AL Abbott
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Cardiac signals: remote measurement and applications
A Sarkar
Virginia Tech, 2017
42017
Virginia connected vehicle test bed system performance (V2I system performance)
R Viray, A Sarkar, ZR Doerzaph
Connected Vehicle/Infrastructure University Transportation Center, 2016
42016
A comprehensive safety analysis for gaze fixation of drivers to outside scene.
A Sarkar
AHFE (2022) International Conference. 60 (Human Factors in Transportation), 2022
32022
Responsibility Sensitive Safety Analysis of Truck Following in US Highway
A Sarkar, A Krum, R Hanowski, J Hickman
International Conference on Applied Human Factors and Ergonomics, 119-126, 2021
32021
Gan-based deidentification of drivers’ face videos: An assessment of human factors implications in nds data
S Thapa, A Sarkar
2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023
22023
Driver gaze fixation and pattern analysis in safety critical events
H Bhagat, S Jain, L Abbott, A Sonth, A Sarkar
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
22023
Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle
A Sonth, A Sarkar, H Bhagat, L Abbott
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
22023
GAN-based Deidentification of Drivers’ Face Videos: An Assessment of Human Factors Implications in NDS Data
S Thapa, A Sarkar
2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023
22023
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