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Swami Sankaranarayanan
Swami Sankaranarayanan
Research Scientist, AI Ethics, Sony AI
Verified email at sony.com - Homepage
Title
Cited by
Cited by
Year
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
7592018
MetaReg: Towards Domain Generalization using Meta-Regularization
Y Balaji, S Sankaranarayanan, R Chellappa
Advances in Neural Information Processing Systems (NeurIPS), 1004-1014, 2018
6732018
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
583*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
4882017
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
3582018
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
2652016
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
2272018
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
2262019
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
1032018
Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models
H Bahng, A Jahanian*, S Sankaranarayanan*, P Isola
arXiv preprint arXiv:2203.17274, 2022
842022
Triplet similarity embedding for face verification
S Sankaranarayanan, A Alavi, R Chellappa
arXiv preprint arXiv:1602.03418, 2016
732016
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
682018
IMAGE ANALYSIS NEURAL NETWORK SYSTEMS
KT Arpit Jain, Swaminathan Sankaranarayanan, David Scott Diwinsky, Ser Nam Lim
US Patent 10,546,242, 2020
382020
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
342023
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
242015
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
212016
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
182016
NEURAL NETWORK FEATURE RECOGNITION SYSTEM
AJ Ser Nam Lim, David Scott Diwinsky, Wei Wang, Swaminathan Sankaranarayanan ...
US Patent 10,504,220, 2019
172019
Semantic uncertainty intervals for disentangled latent spaces
S Sankaranarayanan, AN Angelopoulos, S Bates, Y Romano, P Isola
Neural Information Processing Systems (NeurIPS'22), 2022
142022
Proximity-Aware Hierarchical Clustering of Unconstrained Faces
WA Lin, JC Chen, R Ranjan, A Bansal, S Sankaranarayanan, CD Castillo, ...
Image and Vision Computing, 2018
92018
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