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S. Sankaranarayanan · SciRah

Researcher profile · Semantic Scholar

S. Sankaranarayanan

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S. Sankaranarayanan — researcher profile on SciRah

h-index: 21
Works: 44
Citations: 5,095

Most-cited papers

MetaReg: Towards Domain Generalization using Meta-Regularization
Y. Balaji, S. Sankaranarayanan, R. Chellappa
2018Neural Information Processing Systems802 citations
Semantic Scholar
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
S. Sankaranarayanan, Y. Balaji, C. Castillo, R. Chellappa
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition681 citations
Semantic Scholar
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
S. Sankaranarayanan, Y. Balaji, Arpit Jain, Ser-Nam Lim +1 more
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition532 citations
Semantic Scholar
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan, S. Sankaranarayanan, C. Castillo, R. Chellappa
2016IEEE International Conference on Automatic Face & Gesture Recognition453 citations
Semantic Scholar
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng, Ali Jahanian, S. Sankaranarayanan, Phillip Isola
2022396 citations
Semantic Scholar
Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms
P. Phillips, Amy N. Yates, Ying Hu, Carina A. Hahn +11 more
2018Proceedings of the National Academy of Sciences of the United States of America373 citations Open access
Semantic Scholar
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, S. Sankaranarayanan, Hamid Palangi, Yoon Kim +1 more
2022Neural Information Processing Systems363 citations Open access
Semantic Scholar
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
Ryutaro Tanno, A. Saeedi, S. Sankaranarayanan, D. Alexander +1 more
2019Computer Vision and Pattern Recognition307 citations
Semantic Scholar
Triplet probabilistic embedding for face verification and clustering
S. Sankaranarayanan, Azadeh Alavi, C. Castillo, R. Chellappa
20162016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)221 citations Open access
Semantic Scholar
Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans
Rajeev Ranjan, S. Sankaranarayanan, Ankan Bansal, Navaneeth Bodla +4 more
2018IEEE Signal Processing Magazine190 citations
Semantic Scholar
Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models
Hyojin Bahng, Ali Jahanian, S. Sankaranarayanan, Phillip Isola
2022arXiv.org125 citations Open access
Semantic Scholar
Regularizing deep networks using efficient layerwise adversarial training
S. Sankaranarayanan, Arpit Jain, R. Chellappa, Ser-Nam Lim
2017AAAI Conference on Artificial Intelligence104 citations Open access
Semantic Scholar
An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen, Rajeev Ranjan, S. Sankaranarayanan, Amit Kumar +4 more
20152015 IEEE International Conference on Computer Vision Workshop (ICCVW)103 citations
Semantic Scholar
Unsupervised Domain Adaptation for Semantic Segmentation with GANs
S. Sankaranarayanan, Y. Balaji, Arpit Jain, Ser-Nam Lim +1 more
2017arXiv.org70 citations
Semantic Scholar
Triplet Similarity Embedding for Face Verification
S. Sankaranarayanan, Azadeh Alavi, R. Chellappa
2016arXiv.org63 citations
Semantic Scholar
Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition
Rajeev Ranjan, Ankan Bansal, Hongyu Xu, S. Sankaranarayanan +3 more
2018arXiv.org62 citations
Semantic Scholar
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen, Rajeev Ranjan, S. Sankaranarayanan, Amit Kumar +4 more
2016International Journal of Computer Vision53 citations Open access
Semantic Scholar
Face and Image Representation in Deep CNN Features
Connor J. Parde, C. Castillo, Matthew Q. Hill, Y. Colón +3 more
2016IEEE International Conference on Automatic Face & Gesture Recognition33 citations Open access
Semantic Scholar
Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification
Connor J. Parde, Ying Hu, C. Castillo, S. Sankaranarayanan +1 more
2019Cognitive Sciences28 citations Open access
Semantic Scholar
Semantic uncertainty intervals for disentangled latent spaces
S. Sankaranarayanan, Anastasios Nikolas Angelopoulos, Stephen Bates, Yaniv Romano +1 more
2022Neural Information Processing Systems27 citations Open access
Semantic Scholar
Fair human-centric image dataset for ethical AI benchmarking
Alice Xiang, J. Andrews, Rebecca Bourke, William E. Thong +21 more
2025Nature22 citations Open access
Semantic Scholar
Towards the design of an end-to-end automated system for image and video-based recognition
R. Chellappa, Jun-Cheng Chen, Rajeev Ranjan, S. Sankaranarayanan +3 more
2016Information Theory and Applications Workshop18 citations Open access
Semantic Scholar
Unconstrained face verification using fisher vectors computed from frontalized faces
Jun-Cheng Chen, S. Sankaranarayanan, Vishal M. Patel, R. Chellappa
20152015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)16 citations
Semantic Scholar
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Rajeev Ranjan, S. Sankaranarayanan, C. Castillo, R. Chellappa
2017arXiv.org14 citations
Semantic Scholar
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
I. Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei +7 more
2020International Conference on Learning Representations13 citations
Semantic Scholar
Colour Image Segmentation of Fundus Blood Vessels for the Detection of Hypertensive Retinopathy
M. Latha, N. Evangeline, S. Sankaranarayanan
20182018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)10 citations
Semantic Scholar
Is CLIP Fooled by Optical Illusions?
Jerry Ngo, S. Sankaranarayanan, Phillip Isola
2023Tiny Papers @ ICLR9 citations
Semantic Scholar
Proximity-Aware Hierarchical Clustering of unconstrained faces
Wei-An Lin, Jun-Cheng Chen, Rajeev Ranjan, Ankan Bansal +3 more
2018Image and Vision Computing8 citations
Semantic Scholar
Real world relevance of generative counterfactual explanations
S. Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi +1 more
20227 citations
Semantic Scholar
Face representations in deep convolutional neural networks
Connor J. Parde, C. Castillo, Matthew Q. Hill, Y. Colón +3 more
20172 citations Open access
Semantic Scholar
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
S. Sankaranarayanan, Arpit Jain, Ser-Nam Lim
2017IEEE International Conference on Computer Vision2 citations Open access
Semantic Scholar
An Efficient and Integrated Approach for the Detection of Blood Vessels and Exudates in Color Fundus Images
S. Sankaranarayanan, M. Bennet, G. Vijayalakshmi, N. Sathya
20142 citations
Semantic Scholar
Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks
S. Sankaranarayanan, Y. Balaji, C. Castillo, Ramalingam Chellappa
20171 citations
Semantic Scholar
SECURABLE IMAGE COMPRESSION USING SPIHT ALGORITHM
S. Sankaranarayanan, J. Suresh
20131 citations
Semantic Scholar
Qualitative Evaluation of Detection and Tracking Performance
S. Sankaranarayanan, F. Brémond, D. Tax
20122012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance1 citations Open access
Semantic Scholar
Unsupervised Visual Domain Adaptation Using Generative Adversarial Networks
Y. Balaji, S. Sankaranarayanan, Ramalingam Chellappa
2020Computer Vision0 citations
Semantic Scholar
Social Networks: Analyzing Social Information in Deep Convolutional Neural Networks Trained for Face Identification
Connor J. Parde, Ying Hu, C. Castillo, S. Sankaranarayanan +1 more
2018Journal of Vision0 citations Open access
Semantic Scholar
Towards robust and domain invariant feature representations in Deep Learning
S. Sankaranarayanan
20180 citations
Semantic Scholar
Face Familiarity in Deep Convolutional Neural Networks
E. Noyes, Y. Colón, Matthew Q. Hill, Connor J. Parde +3 more
2018Journal of Vision0 citations Open access
Semantic Scholar
Self corrective Perturbations for Semantic Segmentation and Classification
S. Sankaranarayanan, Arpit Jain, Ser-Nam Lim
20170 citations
Semantic Scholar
3D facial model synthesis using coupled dictionaries
S. Sankaranarayanan, Vishal M. Patel, R. Chellappa
2015International Conference on Information Photonics0 citations
Semantic Scholar
Automatic Detection of Exudates and Microaneurysms from Non-Dilated Diabetic Retinopathy Retinal Images
S. Sankaranarayanan, M. Bennet
20140 citations
Semantic Scholar
Qualitative Evaluation of Tracking Systems: A Model based approach
S. Sankaranarayanan
20120 citations
Semantic Scholar
New Results - Scenario Recognition with depth camera
Bernard Boulay, Daniel Zullo, S. Sankaranarayanan, F. Brémond
20110 citations
Semantic Scholar

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