| Learning without Memorizing P Dhar, RV Singh, KC Peng, Z Wu, R Chellappa Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2019 | 566 | 2019 |
| 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 | 47 | 2018 |
| 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 | 36 | 2021 |
| 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 | 29 | 2019 |
| 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 | 29 | 2017 |
| 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 | 24 | 2022 |
| 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 | 18 | 2020 |
| 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 | 11 | 2022 |
| 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 | 11 | 2021 |
| 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 | 11 | 2020 |
| 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 | 9 | 2020 |
| 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 | 8 | 2019 |
| 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 | 6 | 2021 |
| 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 | 5 | 2017 |
| 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 | 2 | 2017 |
| Building Trustworthy AI for Biometrics P Dhar Johns Hopkins University, 2022 | 1 | 2022 |
| Some Challenges and Solutions in Data-Driven AI R Chellappa, J Liu, CP Lau, P Dhar Computer Vision: Challenges, Trends, and Opportunities, 1, 2024 | | 2024 |
| Enhancing 2D Representation Learning with a 3D Prior M Aygun, P Dhar, Z Yan, O Mac Aodha, R Ranjan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| 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 | | |
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
