2024
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Pipelined Structure in the Classification of Skin Lesions based on Alexnet CNN and SVM Model with Bi-sectional Texture Features.
V S S Bala Tripura Sathvika, Nagilla Anmisha, Vada Thanmayi, Suchetha M, Edwin Dhas D, Sehastrajit S, Sathyanarayanan N Aakur.
IEEE Access.
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Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang, Mauricio Pamplona Segundo, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava
IEEE International Symposium on Biomedical Imaging (ISBI) 2024.
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TEPI: Taxonomy-aware Embedding and Pseudo- Imaging for Scarcely-labeled Zero-shot Genome Classification
Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran.
IEEE Journal of Biomedical and Health Informatics. [Preprint]
2023
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ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition.
Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur
IEEE International Conference on Machine Learning and Applications (ICMLA), 2023. (Oral) .
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Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference using Pattern Theory.
Sathyanarayanan N. Aakur, Sudeep Sarkar
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
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An Insight on Recent Advancements and Future Perspectives in Detection Techniques of Parkinson’s Disease.
M Suchetha, Snehith Sankineni, Aanchal Saraswat, Sathyanarayanan N Aakur, S Sehastrajit, D Edwin Dhas
Evolutionary Intelligence.
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Iterative Scene Graph Generation with Generative Transformers.
Sanjoy Kundu, Sathyanarayanan Aakur
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
2022
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Peanut Seed Germination Detection from Aerial Images.
Shengfang Ma, Yuting Zhou, K. Colton Flynn, Sathyanarayanan N. Aakur
IEEE Workshop on Applied Imagery and Pattern Recognition (AIPR), 2022.
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Actor-centered Representations for Action Localization in Streaming Videos.
Sathyanarayanan N. Aakur, Sudeep Sarkar
European Conference on Computer Vision (ECCV) 2022.
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Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration.
Aditi Bal Basu, Ramy Mounir, Sathyanarayanan N. Aakur, Anuj Srivastava, Sudeep Sarkar
European Conference on Computer Vision (ECCV) 2022. (Oral)
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ISD-QA: Iterative Distillation of Commonsense Knowledge from General Language Models for Unsupervised Question Answering
Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy
International Conference on Pattern Recognition (ICPR-2022). (Oral)
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Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision.
Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti
Pattern Recognition Letters, 2022
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A Rich Recipe Representation as Plan to Support Expressive Multi-Modal Queries
on Recipe Content and Preparation Process
Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava
ICAPS 2022 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS), 2022
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Towards Active Vision for Action Localization with Reactive Control and Predictive Learning.
Shubham Trehan, Sathyanarayanan Aakur
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2022) [Preprint]
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Self-supervised Event Segmentation.
Ramy Mounir, Sathyanarayanan Aakur, Sudeep Sarkar
Book Chapter in Advanced Methods and Deep Learning in Computer Vision , Elsevier Series on Computer Vision and Pattern Recognition.
2021
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Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis.
Sathyanarayanan Aakur, Sai Narayanan, Vineela Indla, Vennela Indla, Arunkumar Bagavathi, Akhilesh Ramachandran, and Vishalini Laguduva Ramnath
International Conference on Data Mining Workshops (ICDMW-2021) [Preprint]. (Oral)
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MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis.
Sathyanarayanan N. Aakur, Vineela Indla, Arunkumar Bagavathi, Sai Narayanan, Akhilesh Ramachandran, Vishalini Laguduva Ramnath
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-2021) [Preprint]
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LexDivPara: A measure of paraphrase quality with integrated sentential lexical complexity.
.
Thanh Thieu, Ha Do, Thanh Duong, Shi Pu, Sathyanarayanan N. Aakur, Saad Khan.
Intelligent Systems Conference (IntelliSys) 2021}. [pdf]
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Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training .
Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021) [pdf]. (Oral)
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Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling.
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
International Conference on Computer Vision Theory and Applications (VISAPP), 2021. [Project Page]
2020
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GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning.
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
International Conference on Machine Learning Applications (ICMLA'20), 2020. [Preprint]
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Benchmark and Evaluation of Low Resource Object Detection in Biomedical Images,
Sanjoy Kundu*, Nikhil Gunti*, Bailey Hendrickson*, Sunil More, Sathyanarayanan Aakur
IEEE Workshop on Applied Imagery and Pattern Recognition, 2020
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Action Localization through Continual Predictive Learning.
Sathyanarayanan N. Aakur, Sudeep Sarkar
European Conference on Computer Vision (ECCV), 2020. [Project Page]
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Dissecting Convolutional Neural Networks for Efficient Implementation on Constrained Platforms.
Vishalini R. Laguduva, Shakil Mahmud, Sathyanarayanan Aakur, Robert Karam, Srinivas Katkoori.
IEEE International Conferenceon VLSI Design (VLSID), 2020.
2019
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Latent Space Modeling for Cloning Encrypted PUF-based Authentication.
Vishalini R. Laguduva, Sathyanarayanan Aakur, Srinivas Katkoori
IFIP International Internet of Things (IoT) Conference, 2019.
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Machine Learning based IoT Edge Node Security Attack and Countermeasures.
Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan Aakur, Srinivas Katkoori, Robert Karam
IEEE Computer Society Annual Symposium onVLSI (ISVLSI), 2019.
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A Perceptual Prediction Framework for Self Supervised Event Segmentation.
Sathyanarayanan Aakur, Sudeep Sarkar
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
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Fine-grained Action Detection in Long Surveillance Videos.
Sathyanarayanan Aakur, Daniel Sawyer, Sudeep Sarkar
Workshop on Human Activity Detection in Multi-Camera, Continuous, Long-Duration Video (HADCV'19), Winter Conference on Applications of Computer Vision (WACV) 2019.
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Going Deeper with Semantics: Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos.
Sathyanarayanan Aakur, Fillipe DM de Souza, Sudeep Sarkar
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
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Generating Open World Descriptions of Video using Commonsense Knowledge in a Pattern Theory Framework.
Sathyanarayanan Aakur, Fillipe DM de Souza, Sudeep Sarkar
Quarterly of Applied Mathematics, 2019.
2018
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Using semantic relationships among objects for geospatial land use classification.
Gilbert Rotich*, Sathyanarayanan Aakur*, Rodrigo Minetto, Mauricio Segundo, Sudeep Sarkar
IEEE Workshop on Applied Imagery and Pattern Recognition, 2018
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On the Inherent Explainability of Pattern Theory-based Video Event Interpretations.
Sathyanarayanan Aakur, Fillipe de Souza, Sudeep Sarkar
Explainable and Interpretable Models in Computer Vision and Machine Learning in the Springer Series on Challenges in Machine Learning, 2018
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An Inherently Explainable Model for Video Activity Interpretation.
Sathyanarayanan Aakur, Fillipe DM de Souza, Sudeep Sarkar
AAAI Workshop On Reasoning and Learning for Human-Machine Dialogues (DEEP-DIAL18), 2018.