| 2026 | WACV | BAFLE-DCT: Bypassing Adversarial Filters via Frequency-Selective Embedding in the DCT Domain. | Thilina Mendis, Farah I. Kandah, Sathyanarayanan N. Aakur |
| 2026 | WACV | FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection. | Shubham Trehan, Udhav Ramachandran, Akash Rao, Ruth Scimeca, Sathyanarayanan N. Aakur |
| 2025 | ICCV | ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition. | Sanjoy Kundu, Shanmukha Vellamcheti, Sathyanarayanan N. Aakur |
| 2025 | IJCNLP | Revisiting Word Embeddings in the LLM Era. | Yash Mahajan, Matthew Freestone, Naman Bansal, Sathyanarayanan N. Aakur, Shubhra Kanti Karmaker |
| 2025 | NeSy | CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding. | Zhou Chen, Joe Lin, Sathyanarayanan N. Aakur |
| 2024 | ECCV | Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning. | Sanjoy Kundu, Shubham Trehan, Sathyanarayanan N. Aakur |
| 2024 | ICPR | Self-supervised Multi-actor Social Activity Understanding in Streaming Videos. | Shubham Trehan, Sathyanarayanan N. Aakur |
| 2024 | ICPR | Capturing Temporal Components for Time Series Classification. | Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur |
| 2023 | CVPR | IS-GGT: Iterative Scene Graph Generation with Generative Transformers. | Sanjoy Kundu, Sathyanarayanan N. Aakur |
| 2023 | ICMLA | ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition. | Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur |
| 2022 | ECCV | Actor-Centered Representations for Action Localization in Streaming Videos. | Sathyanarayanan N. Aakur, Sudeep Sarkar |
| 2022 | ECCV | Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration. | Aditi Basu Bal, Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava |
| 2022 | ICPR | ISD-QA: Iterative Distillation of Commonsense Knowledge from General Language Models for Unsupervised Question Answering. | Priyadharsini Ramamurthy, Sathyanarayanan N. Aakur |
| 2022 | WACV | Towards Active Vision for Action Localization with Reactive Control and Predictive Learning. | Shubham Trehan, Sathyanarayanan N. Aakur |
| 2021 | MICCAI | MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. | Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran |
| 2021 | PAKDD | 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 |
| 2020 | ECCV | Action Localization Through Continual Predictive Learning. | Sathyanarayanan N. Aakur, Sudeep Sarkar |
| 2020 | ICMLA | GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. | Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi |
| 2020 | VLSID | Dissecting Convolutional Neural Networks for Efficient Implementation on Constrained Platforms. | Vishalini R. Laguduva, Shakil Mahmud, Sathyanarayanan N. Aakur, Robert Karam, Srinivas Katkoori |
| 2019 | CVPR | A Perceptual Prediction Framework for Self Supervised Event Segmentation. | Sathyanarayanan N. Aakur, Sudeep Sarkar |
| 2019 | WACV | Going Deeper With Semantics: Video Activity Interpretation Using Semantic Contextualization. | Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar |
| 2019 | WACV | Fine-grained Action Detection in Untrimmed Surveillance Videos. | Sathyanarayanan N. Aakur, Daniel Sawyer, Sudeep Sarkar |
| 2018 | AAAI | An Inherently Explainable Model for Video Activity Interpretation. | Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar |