| 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 | 175 | 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 | 70 | 2017 |
| Gated feedback refinement network for coarse-to-fine dense semantic image labeling MA Islam, M Rochan, S Naha, NDB Bruce, Y Wang arXiv preprint arXiv:1806.11266, 2018 | 25 | 2018 |
| 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 | 21 | 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 | 18 | 2014 |
| Pose-Guided Knowledge Transfer for Object Part Segmentation S Naha, Q Xiao, P Banik, MA Reza, DJ Crandall | 8 | 2020 |
| 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 | 8 | 2018 |
| 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 |
| Beyond verbs: Understanding actions in videos with text S Naha, Y Wang 2016 23rd International Conference on Pattern Recognition (ICPR), 1833-1838, 2016 | 7 | 2016 |
| Object figure-ground segmentation using zero-shot learning S Naha, Y Wang 2016 23rd International Conference on Pattern Recognition (ICPR), 2842-2847, 2016 | 7 | 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 | 3 | 2021 |
| 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 | 3 | 2021 |
| Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics S Chakraborty, S Naha, M Bastan, D Samaras arXiv preprint arXiv:2311.06654, 2023 | | 2023 |
| 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 |
David CrandallProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu
