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Sathyanarayanan N. Aakur
Sathyanarayanan N. Aakur
Assistant Professor, Auburn University
Verified email at auburn.edu - Homepage
Title
Cited by
Cited by
Year
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
1302018
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
732019
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
212019
Going deeper with semantics: Exploiting semantic contextualization for interpretation of human activity in videos
S Aakur, FDM de Souza, S Sarkar
IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE 1 (6), 8, 2019
15*2019
Is-ggt: Iterative scene graph generation with generative transformers
S Kundu, SN Aakur
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
14*2023
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
112019
Knowledge guided learning: Open world egocentric action recognition with zero supervision
SN Aakur, S Kundu, N Gunti
Pattern recognition letters 156, 38-45, 2022
102022
Action localization through continual predictive learning
S Aakur, S Sarkar
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
92020
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
82021
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
82018
Unsupervised gaze prediction in egocentric videos by energy-based surprise modeling
SN Aakur, A Bagavathi
arXiv preprint arXiv:2001.11580, 2020
72020
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
72020
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
7*2019
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
72017
Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory
SN Aakur, S Sarkar
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
6*2023
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
6*2020
Metagenome2vec: Building contextualized representations for scalable metagenome analysis
SN Aakur, V Indla, V Indla, S Narayanan, A Bagavathi, VL Ramnath, ...
2021 International Conference on Data Mining Workshops (ICDMW), 500-507, 2021
52021
Latent space modeling for cloning encrypted PUF-based authentication
VL Ramnath, SN Aakur, S Katkoori
IFIP International Internet of Things Conference, 142-158, 2019
52019
Actor-Centered Representations for Action Localization in Streaming Videos
S Aakur, S Sarkar
European Conference on Computer Vision, 70-87, 2022
4*2022
ISD-QA: Iterative distillation of commonsense knowledge from general language models for unsupervised question answering
P Ramamurthy, SN Aakur
2022 26th International Conference on Pattern Recognition (ICPR), 1229-1235, 2022
42022
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