| Hope-net: A graph-based model for hand-object pose estimation B Doosti, S Naha, M Mirbagheri, DJ Crandall Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 289 | 2020 |
| Label refinement network for coarse-to-fine semantic segmentation MA Islam, S Naha, M Rochan, N Bruce, Y Wang arXiv preprint arXiv:1703.00551, 2017 | 78 | 2017 |
| A-class: A classroom software with the support for diversity in aptitudes of autistic children MR Rahman, S Naha, PC Roy, I Ahmed, S Samrose, MM Rahman, ... 2011 IEEE Symposium on Computers & Informatics, 727-731, 2011 | 27 | 2011 |
| LDA based paper currency recognition system using edge histogram descriptor S Rahman, P Banik, S Naha 2014 17th International Conference on Computer and Information Technology …, 2014 | 19 | 2014 |
| Modular Anti‐Counterfeit Tags Formed by Template‐Assisted Self‐Assembly of Plasmonic Nanocrystals and Authenticated by Machine Learning M Ibrar, SY Huang, Z McCurtain, S Naha, DJ Crandall, SC Jacobson, ... Advanced functional materials 34 (41), 2400842, 2024 | 14 | 2024 |
| Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics S Chakraborty, S Naha, M Bastan, D Samaras Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 13 | 2024 |
| Pose-Guided Knowledge Transfer for Object Part Segmentation S Naha, Q Xiao, P Banik, MA Reza, DJ Crandall | 11 | 2020 |
| Object figure-ground segmentation using zero-shot learning S Naha, Y Wang 2016 23rd International Conference on Pattern Recognition (ICPR), 2842-2847, 2016 | 9 | 2016 |
| Part segmentation of unseen objects using keypoint guidance S Naha, Q Xiao, P Banik, MA Reza, DJ Crandall Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 8 | 2021 |
| Beyond verbs: Understanding actions in videos with text S Naha, Y Wang 2016 23rd International Conference on Pattern Recognition (ICPR), 1833-1838, 2016 | 8 | 2016 |
| Zero-shot object recognition using semantic label vectors S Naha, Y Wang 2015 12th Conference on Computer and Robot Vision, 94-100, 2015 | 8 | 2015 |
| Cowdung based integrated nutrient management for transplant Aman rice varieties MF Islam, S Naha, J Rahman, MP Anwar, MA Islam Intl. J. Appl. Res 2 (3), 157-163, 2016 | 5 | 2016 |
| Modeling joint attention from egocentric vision RE Peters, A Amatuni, SE Schroer, S Naha, D Crandall, C Yu Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 4 | 2021 |
| Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling M Amirul Islam, M Rochan, S Naha, NDB Bruce, Y Wang arXiv e-prints, arXiv: 1806.11266, 2018 | 2 | 2018 |
| A-class: Intelligent classroom software for the autistic children S Naha, MR Rahman, PC Roy, MM Rahman, SI Ahmed The IEEE Symposium on Computer and Informatics (ISCI), IEEE Computer Society …, 2011 | 2 | 2011 |
| Investigating medical YouTubers’ parasocial visual cues in their COVID-related videos: a computer vision approach SW Chae, S Naha, N Hara, DJ Crandall | | 2025 |
| Three Studies on Generalizing to Novel Objects in Computer Vision Using Semantic Guidance S Naha Indiana University, 2024 | | 2024 |
| Localizing Novel Attended Objects in Egocentric Views S Naha, MA Reza, C Yu, D Crandall 31st British Machine Vision Conference 2020, {BMVC} 2020, Virtual Event, UK …, 2020 | | 2020 |
| Zero-shot Learning for Visual Recognition Problems S Naha IEEE, 2015 | | 2015 |
| Supplementary: Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics S Chakraborty, S Naha, M Bastan, AK KC, D Samaras | | |
David CrandallProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu
