Sathyanarayanan N. Aakur

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 52

Top Topics

Commonsense Reasoning

Graph Representations

Surveillance Videos

Top Venues

Publications

Snehith Sankineni, Aanchal Saraswat, M. Suchetha, Sathyanarayanan N. Aakur, S. Sehastrajit, Edwin Dhas D
An insight on recent advancements and future perspectives in detection techniques of Parkinson's disease. Evol. Intell. 17 (3) (2024)
V. S. S. Bala Tripura Sathvika, Nagilla Anmisha, Vada Thanmayi, M. Suchetha, Edwin Dhas D, S. Sehastrajit, Sathyanarayanan N. Aakur
Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features. IEEE Access 12 (2024)
Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification. CoRR (2024)
Sanjoy Kundu, Shubham Trehan, Sathyanarayanan N. Aakur
ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition. CoRR (2024)
Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran
TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur
Capturing Temporal Components for Time Series Classification. CoRR (2024)
Shubham Trehan, Sathyanarayanan N. Aakur
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos. CoRR (2024)
Sathyanarayanan N. Aakur, Sudeep Sarkar
Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition. ICMLA (2023)
Sanjoy Kundu, Sathyanarayanan N. Aakur
IS-GGT: Iterative Scene Graph Generation with Generative Transformers. CVPR (2023)
Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition. CoRR (2023)
Shenyuan Liang, Maurício Pamplona Segundo, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis. CoRR (2023)
Sathyanarayanan N. Aakur, Sanjoy Kundu, Shubham Trehan
Discovering Novel Actions in an Open World with Object-Grounded Visual Commonsense Reasoning. CoRR (2023)
Shengfang Ma, Yuting Zhou, K. Colton Flynn, Sathyanarayanan N. Aakur
Peanut Seed Germination Detection from Aerial Images. AIPR (2022)
Sanjoy Kundu, Sathyanarayanan N. Aakur
Iterative Scene Graph Generation with Generative Transformers. CoRR (2022)
Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti
Knowledge guided learning: Open world egocentric action recognition with zero supervision. Pattern Recognit. Lett. 156 (2022)
Priyadharsini Ramamurthy, Sathyanarayanan N. Aakur
ISD-QA: Iterative Distillation of Commonsense Knowledge from General Language Models for Unsupervised Question Answering. ICPR (2022)
Shubham Trehan, Sathyanarayanan N. Aakur
Towards Active Vision for Action Localization with Reactive Control and Predictive Learning. WACV (2022)
Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. CoRR (2022)
Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. CoRR (2022)
Sathyanarayanan N. Aakur, Sudeep Sarkar
Actor-Centered Representations for Action Localization in Streaming Videos. ECCV (38) (2022)
Aditi Basu Bal, Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration. ECCV (35) (2022)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. ICDM (Workshops) (2021)
Thanh Thieu, Ha Do, Thanh Duong, Shi Pu, Sathyanarayanan N. Aakur, Saad Khan
LexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity. IntelliSys (3) (2021)
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling. VISIGRAPP (5: VISAPP) (2021)
Shubham Trehan, Sathyanarayanan N. Aakur
Towards Active Vision for Action Localization with Reactive Control and Predictive Learning. CoRR (2021)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. MICCAI (5) (2021)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis. CoRR (2021)
Sathyanarayanan N. Aakur, Sudeep Sarkar
Learning Actor-centered Representations for Action Localization in Streaming Videos using Predictive Learning. CoRR (2021)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. CoRR (2021)
Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. PAKDD (1) (2021)
Sathyanarayanan N. Aakur, Sudeep Sarkar
Action Localization Through Continual Predictive Learning. ECCV (14) (2020)
Vishalini R. Laguduva, Shakil Mahmud, Sathyanarayanan N. Aakur, Robert Karam, Srinivas Katkoori
Dissecting Convolutional Neural Networks for Efficient Implementation on Constrained Platforms. VLSI Design (2020)
Sathyanarayanan N. Aakur, Sudeep Sarkar
Action Localization through Continual Predictive Learning. CoRR (2020)
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. CoRR (2020)
Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision. CoRR (2020)
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. ICMLA (2020)
Sanjoy Kundu, Nikhil Gunti, Bailey Hendrickson, Sunil More, Sathyanarayanan N. Aakur
Benchmark and Evaluation of Low Resource Object Detection in Biomedical Images. AIPR (2020)
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling. CoRR (2020)
Sathyanarayanan N. Aakur, Daniel Sawyer, Sudeep Sarkar
Fine-grained Action Detection in Untrimmed Surveillance Videos. WACV Workshops (2019)
Sathyanarayanan N. Aakur, Sudeep Sarkar
A Perceptual Prediction Framework for Self Supervised Event Segmentation. CVPR (2019)
Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur, Srinivas Katkoori
Latent Space Modeling for Cloning Encrypted PUF-Based Authentication. IFIPIoT (2019)
Sathyanarayanan N. Aakur, Sudeep Sarkar
Abductive Reasoning as Self-Supervision for Common Sense Question Answering. CoRR (2019)
Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar
Going Deeper With Semantics: Video Activity Interpretation Using Semantic Contextualization. WACV (2019)
Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan N. Aakur, Srinivas Katkoori, Robert Karam
Machine Learning Based IoT Edge Node Security Attack and Countermeasures. ISVLSI (2019)
Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan N. Aakur, Srinivas Katkoori, Robert Karam
Machine Learning based IoT Edge Node Security Attack and Countermeasures. CoRR (2019)
Sathyanarayanan N. Aakur, Daniel Sawyer, Michal Balazia, Sudeep Sarkar
Fine-grained Action Detection in Long Surveillance Videos. TRECVID (2018)
Sathyanarayanan N. Aakur, Sudeep Sarkar
A Perceptual Prediction Framework for Self Supervised Event Segmentation. CoRR (2018)
Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar
An Inherently Explainable Model for Video Activity Interpretation. AAAI Workshops (2018)
Gilbert Rotich, Sathyanarayanan N. Aakur, Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar
Using Semantic Relationships among Objects for Geospatial Land Use Classification. AIPR (2018)
Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar
Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos. CoRR (2017)
Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar
Towards a Knowledge-Based Approach for Generating Video Descriptions. CRV (2017)