| 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 | 132 | 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 | 77 | 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 | 22 | 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 | 17* | 2023 |
| 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 |
| Knowledge guided learning: Open world egocentric action recognition with zero supervision SN Aakur, S Kundu, N Gunti Pattern recognition letters 156, 38-45, 2022 | 11 | 2022 |
| 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 | 11 | 2019 |
| Action localization through continual predictive learning S Aakur, S Sarkar Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 10 | 2020 |
| 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 | 9 | 2018 |
| 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 | 8 | 2021 |
| Leveraging symbolic knowledge bases for commonsense natural language inference using pattern theory SN Aakur, S Sarkar IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2023 | 7* | 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 | 7* | 2020 |
| Unsupervised gaze prediction in egocentric videos by energy-based surprise modeling SN Aakur, A Bagavathi arXiv preprint arXiv:2001.11580, 2020 | 7 | 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 | 7 | 2020 |
| Latent space modeling for cloning encrypted PUF-based authentication VL Ramnath, SN Aakur, S Katkoori IFIP International Internet of Things Conference, 142-158, 2019 | 7 | 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 | 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 | 7 | 2017 |
| Actor-centered representations for action localization in streaming videos S Aakur, S Sarkar European Conference on Computer Vision, 70-87, 2022 | 5* | 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 | 5 | 2022 |
| 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 | 5 | 2021 |
Sudeep SarkarDistinguished University Professor, Computer Science and Engineering, University of South Florida在 usf.edu 的电子邮件经过验证
