Sathyanarayanan N. Aakur
Sathyanarayanan N. Aakur
Assistant Professor, Oklahoma State University
Потвърден имейл адрес: okstate.edu - Начална страница
Explainable and interpretable models in computer vision and machine learning
HJ Escalante, S Escalera, I Guyon, X Baró, Y Güçlütürk, U Güçlü, ...
Springer International Publishing, 2018
A perceptual prediction framework for self supervised event segmentation
SN Aakur, S Sarkar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Machine learning based iot edge node security attack and countermeasures
V Laguduva, SA Islam, S Aakur, S Katkoori, R Karam
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 670-675, 2019
Going deeper with semantics: Exploiting semantic contextualization for interpretation of human activity in videos
S Aakur, FD de Souza, S Sarkar
IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE 1 (6), 8, 2019
Action localization through continual predictive learning
S Aakur, S Sarkar
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Towards a knowledge-based approach for generating video descriptions
S Aakur, FDM De Souza, S Sarkar
2017 14th Conference on Computer and Robot Vision (CRV), 24-31, 2017
Generating open world descriptions of video using common sense knowledge in a pattern theory framework
S Aakur, F de Souza, S Sarkar
Quarterly of Applied Mathematics 77 (2), 323-356, 2019
Fine-grained action detection in untrimmed surveillance videos
S Aakur, D Sawyer, S Sarkar
2019 IEEE Winter Applications of Computer Vision Workshops (WACVW), 38-40, 2019
Latent space modeling for cloning encrypted PUF-based authentication
VL Ramnath, SN Aakur, S Katkoori
Internet of Things. A Confluence of Many Disciplines: Second IFIP …, 2020
Dissecting convolutional neural networks for efficient implementation on constrained platforms
VR Laguduva, S Mahmud, SN Aakur, R Karam, S Katkoori
2020 33rd International Conference on VLSI Design and 2020 19th …, 2020
MG-NET: leveraging pseudo-imaging for multi-modal metagenome analysis
SN Aakur, S Narayanan, V Indla, A Bagavathi, V Laguduva Ramnath, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Gradl: a framework for animal genome sequence classification with graph representations and deep learning
S Narayanan, A Ramachandran, SN Aakur, A Bagavathi
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
Unsupervised gaze prediction in egocentric videos by energy-based surprise modeling
SN Aakur, A Bagavathi
arXiv preprint arXiv:2001.11580, 2020
Using semantic relationships among objects for geospatial land use classification
G Rotich, S Aakur, R Minetto, MP Segundo, S Sarkar
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2018
Knowledge guided learning: Open world egocentric action recognition with zero supervision
SN Aakur, S Kundu, N Gunti
Pattern Recognition Letters 156, 38-45, 2022
An Inherently Explainable Model for Video Activity Interpretation
S Aakur, F de Souza, S Sarkar
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Actor-Centered Representations for Action Localization in Streaming Videos
S Aakur, S Sarkar
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process
V Pallagani, P Ramamurthy, V Khandelwal, R Venkataramanan, ...
arXiv preprint arXiv:2203.17109, 2022
Sim2real for metagenomes: Accelerating animal diagnostics with adversarial co-training
V Indla, V Indla, S Narayanan, A Ramachandran, A Bagavathi, ...
Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia …, 2021
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration
AB Bal, R Mounir, S Aakur, S Sarkar, A Srivastava
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
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