Swami Sankaranarayanan

According to our database, Swami Sankaranarayanan authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation.

Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Bias Mitigation Without Privileged Information.

Mateo Espinosa Zarlenga, Swami Sankaranarayanan, Jerone T. A. Andrews, Zohreh Shams, Mateja Jamnik, Alice Xiang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.

Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is CLIP Fooled by Optical Illusions?

Jerry Ngo, Swami Sankaranarayanan, Phillip Isola

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Taking Off with AI: Lessons from Aviation for Healthcare.

Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models.

Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan, Phillip Isola

CoRR, 2022

Semantic uncertainty intervals for disentangled latent spaces.

Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth.

Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification.

Connor J. Parde, Ying Hu, Carlos Domingo Castillo, Swami Sankaranarayanan, Alice J. O'Toole

Cogn. Sci., 2019

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion.

Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans.

Rajeev Ranjan, Swami Sankaranarayanan, Ankan Bansal, Navaneeth Bodla, Jun-Cheng Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa

IEEE Signal Process. Mag., 2018

Proximity-Aware Hierarchical Clustering of unconstrained faces.

Wei-An Lin, Jun-Cheng Chen, Rajeev Ranjan, Ankan Bansal, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa

Image Vis. Comput., 2018

Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks.

Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa

Int. J. Comput. Vis., 2018

Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.

Rajeev Ranjan, Ankan Bansal, Hongyu Xu, Swami Sankaranarayanan, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa

CoRR, 2018

MetaReg: Towards Domain Generalization using Meta-Regularization.

Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generate to Adapt: Aligning Domains Using Generative Adversarial Networks.

Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation.

Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Regularizing Deep Networks Using Efficient Layerwise Adversarial Training.

Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Improving Network Robustness against Adversarial Attacks with Compact Convolution.

Rajeev Ranjan, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa

CoRR, 2017

Unsupervised Domain Adaptation for Semantic Segmentation with GANs.

Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa

CoRR, 2017

Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks.

Swami Sankaranarayanan, Arpit Jain, Ser Nam Lim

Proceedings of the IEEE International Conference on Computer Vision, 2017

An All-In-One Convolutional Neural Network for Face Analysis.

Rajeev Ranjan, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Face and Image Representation in Deep CNN Features.

Connor J. Parde, Carlos Domingo Castillo, Matthew Q. Hill, Y. Ivette Colon, Swami Sankaranarayanan, Jun-Cheng Chen, Alice J. O'Toole

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016

Triplet Similarity Embedding for Face Verification.

Swami Sankaranarayanan, Azadeh Alavi, Rama Chellappa

CoRR, 2016

Deep Convolutional Neural Network Features and the Original Image.

Connor J. Parde, Carlos Domingo Castillo, Matthew Q. Hill, Y. Ivette Colon, Swami Sankaranarayanan, Jun-Cheng Chen, Alice J. O'Toole

CoRR, 2016

An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks.

Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa

CoRR, 2016

Towards the design of an end-to-end automated system for image and video-based recognition.

Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Vishal M. Patel, Carlos Domingo Castillo

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Triplet probabilistic embedding for face verification and clustering.

Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015

3D facial model synthesis using coupled dictionaries.

Swami Sankaranarayanan, Vishal M. Patel, Rama Chellappa

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Unconstrained face verification using fisher vectors computed from frontalized faces.

Jun-Cheng Chen, Swami Sankaranarayanan, Vishal M. Patel, Rama Chellappa

Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015