| 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 | 785 | 2018 |
| MetaReg: Towards Domain Generalization using Meta-Regularization Y Balaji, S Sankaranarayanan, R Chellappa Advances in Neural Information Processing Systems (NeurIPS), 1004-1014, 2018 | 726 | 2018 |
| 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 | 609* | 2018 |
| An all-in-one convolutional neural network for face analysis R Ranjan, S Sankaranarayanan, CD Castillo, R Chellappa 2017 12th IEEE international conference on automatic face & gesture …, 2017 | 503 | 2017 |
| 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 | 383 | 2018 |
| Triplet probabilistic embedding for face verification and clustering S Sankaranarayanan, A Alavi, CD Castillo, R Chellappa 2016 IEEE 8th international conference on biometrics theory, applications …, 2016 | 268 | 2016 |
| 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 | 255 | 2019 |
| 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 | 235 | 2018 |
| 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 | 108 | 2018 |
| Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models H Bahng, A Jahanian*, S Sankaranarayanan*, P Isola arXiv preprint arXiv:2203.17274, 2022 | 97 | 2022 |
| Triplet similarity embedding for face verification S Sankaranarayanan, A Alavi, R Chellappa arXiv preprint arXiv:1602.03418, 2016 | 73 | 2016 |
| 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 126 (2), 272-291, 2018 | 70 | 2018 |
| Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors T Hartvigsen, S Sankaranarayanan, H Palangi, Y Kim, M Ghassemi Neural Information Processing Systems (NeurIPS'23) (arXiv preprint arXiv …, 2023 | 62 | 2023 |
| IMAGE ANALYSIS NEURAL NETWORK SYSTEMS KT Arpit Jain, Swaminathan Sankaranarayanan, David Scott Diwinsky, Ser Nam Lim US Patent 10,546,242, 2020 | 40 | 2020 |
| Unconstrained face verification using fisher vectors computed from frontalized faces JC Chen, S Sankaranarayanan, VM Patel, R Chellappa 2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015 | 24 | 2015 |
| 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 | 21 | 2016 |
| Semantic uncertainty intervals for disentangled latent spaces S Sankaranarayanan, AN Angelopoulos, S Bates, Y Romano, P Isola Neural Information Processing Systems (NeurIPS'22), 2022 | 18 | 2022 |
| 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 | 18 | 2016 |
| NEURAL NETWORK FEATURE RECOGNITION SYSTEM AJ Ser Nam Lim, David Scott Diwinsky, Wei Wang, Swaminathan Sankaranarayanan ... US Patent 10,504,220, 2019 | 17 | 2019 |
| Proximity-Aware Hierarchical Clustering of Unconstrained Faces WA Lin, JC Chen, R Ranjan, A Bansal, S Sankaranarayanan, CD Castillo, ... Image and Vision Computing, 2018 | 9 | 2018 |
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
