Suivre
Swami Sankaranarayanan
Swami Sankaranarayanan
Postdoctoral Associate, CSAIL, MIT
Adresse e-mail validée de mit.edu - Page d'accueil
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Année
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
5942018
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
4322017
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
422*2018
MetaReg: Towards Domain Generalization using Meta-Regularization
Y Balaji, S Sankaranarayanan, R Chellappa
Advances in Neural Information Processing Systems (NeurIPS), 1004-1014, 2018
4202018
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
2752018
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
2422016
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
1882018
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
1352019
Triplet similarity embedding for face verification
S Sankaranarayanan, A Alavi, R Chellappa
arXiv preprint arXiv:1602.03418, 2016
722016
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
692018
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
572018
IMAGE ANALYSIS NEURAL NETWORK SYSTEMS
KT Arpit Jain, Swaminathan Sankaranarayanan, David Scott Diwinsky, Ser Nam Lim
US Patent 10,546,242, 2020
282020
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
252015
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
172016
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
162016
Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models
H Bahng, A Jahanian*, S Sankaranarayanan*, P Isola
arXiv preprint arXiv:2203.17274, 2022
152022
NEURAL NETWORK FEATURE RECOGNITION SYSTEM
AJ Ser Nam Lim, David Scott Diwinsky, Wei Wang, Swaminathan Sankaranarayanan ...
US Patent 10,504,220, 2019
92019
Proximity-Aware Hierarchical Clustering of Unconstrained Faces
WA Lin, JC Chen, R Ranjan, A Bansal, S Sankaranarayanan, CD Castillo, ...
Image and Vision Computing, 2018
52018
Semantic uncertainty intervals for disentangled latent spaces
S Sankaranarayanan, AN Angelopoulos, S Bates, Y Romano, P Isola
arXiv preprint arXiv:2207.10074, 2022
32022
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
32019
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