| Generate To Adapt: Aligning Domains using Generative Adversarial Networks S Sankaranarayanan, Y Balaji, CD Castillo, R Chellappa Computer Vision and Pattern Recognition (CVPR) 2018, 2018 | 516 | 2018 |
| An all-in-one convolutional neural network for face analysis R Ranjan, S Sankaranarayanan, CD Castillo, R Chellappa Automatic Face & Gesture Recognition (FG 2017), 2017 12th IEEE International …, 2017 | 398 | 2017 |
| Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation S Sankaranarayanan, Y Balaji, A Jain, SN Lim, R Chellappa Computer Vision and Pattern Recognition (CVPR) 2018, 2018 | 363* | 2018 |
| MetaReg: Towards Domain Generalization using Meta-Regularization Y Balaji, S Sankaranarayanan, R Chellappa Advances in Neural Information Processing Systems (NeurIPS), 1004-1014, 2018 | 310 | 2018 |
| Triplet probabilistic embedding for face verification and clustering S Sankaranarayanan, A Alavi, CD Castillo, R Chellappa Biometrics Theory, Applications and Systems (BTAS), 2016 IEEE 8th …, 2016 | 234 | 2016 |
| Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms PJ Phillips, AN Yates, Y Hu, CA Hahn, E Noyes, K Jackson, JG Cavazos, ... Proceedings of the National Academy of Sciences (PNAS), 201721355, 2018 | 231 | 2018 |
| Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans R Ranjan, S Sankaranarayanan, A Bansal, N Bodla, JC Chen, VM Patel, ... IEEE Signal Processing Magazine 35 (1), 66-83, 2018 | 167 | 2018 |
| Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman Computer Vision and Pattern Recognition (CVPR) 2019, 2019 | 94 | 2019 |
| Triplet similarity embedding for face verification S Sankaranarayanan, A Alavi, R Chellappa arXiv preprint arXiv:1602.03418, 2016 | 68 | 2016 |
| Regularizing deep networks using efficient layerwise adversarial training S Sankaranarayanan, A Jain, R Chellappa, SN Lim Association for Advancement of Artificial Intelligence (AAAI) 2018, 2018 | 64 | 2018 |
| Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks JC Chen, R Ranjan, S Sankaranarayanan, A Kumar, CH Chen, VM Patel, ... International Journal of Computer Vision, 1-20, 2017 | 53 | 2017 |
| IMAGE ANALYSIS NEURAL NETWORK SYSTEMS KT Arpit Jain, Swaminathan Sankaranarayanan, David Scott Diwinsky, Ser Nam Lim US Patent US 2018 / 0253866 A1, 2018 | 25* | 2018 |
| Unconstrained face verification using fisher vectors computed from frontalized faces JC Chen, S Sankaranarayanan, VM Patel, R Chellappa Biometrics Theory, Applications and Systems (BTAS), 2015 IEEE 7th …, 2015 | 25 | 2015 |
| Deep Convolutional Neural Network Features and the Original Image CJ Parde, C Castillo, MQ Hill, YI Colon, S Sankaranarayanan, JC Chen, ... arXiv preprint arXiv:1611.01751, 2016 | 14 | 2016 |
| Towards the design of an end-to-end automated system for image and video-based recognition R Chellappa, JC Chen, R Ranjan, S Sankaranarayanan, A Kumar, ... Information Theory and Applications Workshop (ITA), 2016, 1-7, 2016 | 14 | 2016 |
| Proximity-Aware Hierarchical Clustering of Unconstrained Faces WA Lin, JC Chen, R Ranjan, A Bansal, S Sankaranarayanan, CD Castillo, ... Image and Vision Computing, 2018 | 3 | 2018 |
| Guided Perturbations: Self Corrective Behavior in Convolutional Neural Networks S Sankaranarayanan, A Jain, NY Niskayuna, SN Lim International Conference in Computer Vision (ICCV 2017), 2017 | 3 | 2017 |
| Qualitative evaluation of detection and tracking performance S Sankaranarayanan, F Bremond, D Tax Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth …, 2012 | 2 | 2012 |
| Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth I Lovchinsky, A Daks, I Malkin, P Samangouei, A Saeedi, Y Liu, ... International Conference on Learning Representations, 2019 | 1 | 2019 |
| Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models H Bahng, A Jahanian*, S Sankaranarayanan*, P Isola arXiv preprint arXiv:2203.17274, 2022 | | 2022 |
Carlos D. CastilloJohns Hopkins UniversityVahvistettu sähköpostiosoite verkkotunnuksessa jhu.edu
