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Prithviraj Dhar
Prithviraj Dhar
Research Scientist at Meta Platforms, Inc
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
Learning without Memorizing
P Dhar, RV Singh, KC Peng, Z Wu, R Chellappa
Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2019
4642019
A semi-automatic 2D solution for vehicle speed estimation from monocular videos
A Kumar, P Khorramshahi, WA Lin, P Dhar, JC Chen, R Chellappa
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
432018
Pass: protected attribute suppression system for mitigating bias in face recognition
P Dhar, J Gleason, A Roy, CD Castillo, R Chellappa
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
282021
How are attributes expressed in face DCNNs?
P Dhar, A Bansal, CD Castillo, J Gleason, PJ Phillips, R Chellappa
2020 IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2019
282019
Keyword spotting in doctor's handwriting on medical prescriptions
PP Roy, AK Bhunia, A Das, P Dhar, U Pal
Expert Systems with Applications 76, 113-128, 2017
262017
Felmi: Few shot learning with hard mixup
A Roy, A Shah, K Shah, P Dhar, A Cherian, R Chellappa
Advances in Neural Information Processing Systems 35, 24474-24486, 2022
162022
Towards gender-neutral face descriptors for mitigating bias in face recognition
P Dhar, J Gleason, H Souri, CD Castillo, R Chellappa
arXiv preprint arXiv:2006.07845, 2020
142020
Single unit status in deep convolutional neural network codes for face identification: sparseness redefined
CJ Parde, YI Colón, MQ Hill, CD Castillo, P Dhar, AJ O'Toole
arXiv preprint arXiv:2002.06274, 2020
92020
An adversarial learning algorithm for mitigating gender bias in face recognition
P Dhar, J Gleason, H Souri, CD Castillo, R Chellappa
arXiv preprint arXiv:2006.07845 2, 2020
92020
Eyepad++: A distillation-based approach for joint eye authentication and presentation attack detection using periocular images
P Dhar, A Kumar, K Kaplan, K Gupta, R Ranjan, R Chellappa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
82022
Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition
CJ Parde, YI Colón, MQ Hill, CD Castillo, P Dhar, AJ O’Toole
Journal of vision 21 (8), 15-15, 2021
82021
On measuring the iconicity of a face
P Dhar, C Castillo, R Chellappa
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2137-2145, 2019
82019
Efficient framework for action recognition using reduced fisher vector encoding
P Dhar, JM Alvarez, PP Roy
Proceedings of International Conference on Computer Vision and Image …, 2017
52017
Distill and de-bias: Mitigating bias in face recognition using knowledge distillation
P Dhar, J Gleason, A Roy, CD Castillo, PJ Phillips, R Chellappa
ArXiv, abs 2112, 2021
32021
Distill and de-bias: Mitigating bias in face verification using knowledge distillation
P Dhar, J Gleason, A Roy, CD Castillo, PJ Phillips, R Chellappa
arXiv preprint arXiv:2112.09786, 2021
22021
Analysis of adaptability of deep features for verifying blurred and cross-resolution images
P Dhar, A Alavi
2017 IEEE International Conference on Identity, Security and Behavior …, 2017
22017
Building Trustworthy AI for Biometrics
P Dhar
Johns Hopkins University, 2022
2022
Closing the gap between single
CJ Parde, YI Colón, MQ Hill, CD Castillo, P Dhar, AJ O’Toole
2021
Supplemental Information for “Closing the gap between single-unit and neural-population codes: Insights from deep learning in face recognition”
CJ Parde, YI Colon, MQ Hill, CD Castillo, P Dhar, AJ O’Toole
EyePAD++: Supplementary material
P Dhar, A Kumar, K Kaplan, K Gupta, R Ranjan, R Chellappa
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Articles 1–20