| Understanding attention and generalization in graph neural networks B Knyazev, GW Taylor, M Amer Advances in neural information processing systems 32, 2019 | 403 | 2019 |
| Multiobject tracking as maximum weight independent set W Brendel, M Amer, S Todorovic CVPR 2011, 1273-1280, 2011 | 364 | 2011 |
| Cost-sensitive top-down/bottom-up inference for multiscale activity recognition MR Amer, D Xie, M Zhao, S Todorovic, SC Zhu Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 172 | 2012 |
| Hirf: Hierarchical random field for collective activity recognition in videos MR Amer, P Lei, S Todorovic Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 155 | 2014 |
| Facial attributes classification using multi-task representation learning M Ehrlich, TJ Shields, T Almaev, MR Amer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 131 | 2016 |
| Artificial intelligence in interactive storytelling MR Amer, TJ Meo, AN Raghavan, AC Tozzo, A Tamrakar, DA Salter, ... US Patent 10,789,755, 2020 | 106 | 2020 |
| Sum-product networks for modeling activities with stochastic structure MR Amer, S Todorovic 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1314-1321, 2012 | 104 | 2012 |
| Sum product networks for activity recognition MR Amer, S Todorovic IEEE transactions on pattern analysis and machine intelligence 38 (4), 800-813, 2015 | 96 | 2015 |
| Dynamic hybrid models for multimodal analysis MR Amer, B Siddiquie, A Divakaran, C Richey, S Khan, HS Sawhney, ... US Patent 9,875,445, 2018 | 93 | 2018 |
| A chains model for localizing participants of group activities in videos MR Amer, S Todorovic 2011 International Conference on Computer Vision, 786-793, 2011 | 84 | 2011 |
| Monte carlo tree search for scheduling activity recognition MR Amer, S Todorovic, A Fern, SC Zhu Proceedings of the IEEE international conference on computer vision, 1353-1360, 2013 | 78 | 2013 |
| Human motion modeling using dvgans X Lin, MR Amer arXiv preprint arXiv:1804.10652, 2018 | 65 | 2018 |
| Deep Multimodal Fusion: A Hybrid Approach MR Amer, T Shields, B Siddiquie, A Tamrakar, A Divakaran, S Chai International Journal of Computer Vision, 1-17, 2017 | 49 | 2017 |
| Emotion detection in speech using deep networks MR Amer, B Siddiquie, C Richey, A Divakaran 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 49 | 2014 |
| Spectral multigraph networks for discovering and fusing relationships in molecules B Knyazev, X Lin, MR Amer, GW Taylor arXiv preprint arXiv:1811.09595, 2018 | 46 | 2018 |
| Image classification with hierarchical multigraph networks B Knyazev, X Lin, MR Amer, GW Taylor arXiv preprint arXiv:1907.09000, 2019 | 45 | 2019 |
| Chameleons' oblivion: Complex-valued deep neural networks for protocol-agnostic RF device fingerprinting I Agadakos, N Agadakos, J Polakis, MR Amer 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 322-338, 2020 | 44 | 2020 |
| Monocular extraction of 2.1 D sketch using constrained convex optimization MR Amer, S Yousefi, R Raich, S Todorovic International Journal of Computer Vision 112 (1), 23-42, 2015 | 36 | 2015 |
| Multimodal fusion using dynamic hybrid models MR Amer, B Siddiquie, S Khan, A Divakaran, H Sawhney IEEE Winter Conference on Applications of Computer Vision, 556-563, 2014 | 30 | 2014 |
| Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures D Ramachandram, M Lisicki, TJ Shields, MR Amer, GW Taylor Neurocomputing 298, 80-89, 2018 | 27 | 2018 |
Sinisa TodorovicProfessor of Computer Science, Oregon State UniversityVerified email at oregonstate.edu