| Fast ADMM algorithm for distributed optimization with adaptive penalty C Song, S Yoon, V Pavlovic Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 80 | 2016 |
| Relative spatial features for image memorability J Kim, S Yoon, V Pavlovic Proceedings of the 21st ACM international conference on Multimedia, 761-764, 2013 | 46 | 2013 |
| Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms S Yoon, S Kim Pattern Recognition Letters 30 (16), 1489-1495, 2009 | 44 | 2009 |
| AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM S Yoon, S Kim 2008 IEEE International Conference on Bioinformatics and Biomeidcine …, 2008 | 44 | 2008 |
| Muse-vae: Multi-scale vae for environment-aware long term trajectory prediction M Lee, SS Sohn, S Moon, S Yoon, M Kapadia, V Pavlovic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 41 | 2022 |
| Laying the foundations of deep long-term crowd flow prediction SS Sohn, H Zhou, S Moon, S Yoon, V Pavlovic, M Kapadia Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 27* | 2020 |
| Decentralized approximate bayesian inference for distributed sensor network B Gholami, S Yoon, V Pavlovic Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 19* | 2016 |
| Sentiment flow for video interestingness prediction S Yoon, V Pavlovic Proceedings of the 1st ACM International Workshop on Human Centered Event …, 2014 | 15 | 2014 |
| Predicting crowd egress and environment relationships to support building design optimization K Hu, S Yoon, V Pavlovic, P Faloutsos, M Kapadia Computers & Graphics 88, 83-96, 2020 | 14 | 2020 |
| Characterizing the relationship between environment layout and crowd movement using machine learning W Liu, V Pavlovic, K Hu, P Faloutsos, S Yoon, M Kapadia Proceedings of the 10th International Conference on Motion in Games, 1-6, 2017 | 14 | 2017 |
| k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification S Yoon, S Kim Soft Computing 14, 151-159, 2010 | 14 | 2010 |
| The role of data-driven priors in multi-agent crowd trajectory estimation G Qiao, S Yoon, M Kapadia, V Pavlovic Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 13 | 2018 |
| Msi: maximize support-set information for few-shot segmentation S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic, MH Khan, M Kapadia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Hm: Hybrid masking for few-shot segmentation S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic, MH Khan, M Kapadia European Conference on Computer Vision, 506-523, 2022 | 10 | 2022 |
| Distributed probabilistic learning for camera networks with missing data S Yoon, V Pavlovic Advances in Neural Information Processing Systems 25, 2012 | 10 | 2012 |
| Mass lesions classification in digital mammography using optimal subset of BI-RADS and gray level features S Kim, S Yoon 2007 6th International Special Topic Conference on Information Technology …, 2007 | 10 | 2007 |
| Object-centric scene understanding for image memorability prediction S Yoon, J Kim 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 9 | 2018 |
| A2x: An agent and environment interaction benchmark for multimodal human trajectory prediction SS Sohn, M Lee, S Moon, G Qiao, M Usman, S Yoon, V Pavlovic, ... Proceedings of the 14th ACM SIGGRAPH Conference on Motion, Interaction and …, 2021 | 8 | 2021 |
| Filling in the blanks: Reconstructing microscopic crowd motion from multiple disparate noisy sensors S Yoon, M Kapadia, P Sahu, V Pavlovic 2016 IEEE Winter Applications of Computer Vision Workshops (WACVW), 1-9, 2016 | 8 | 2016 |
| TCNJ-CS@ MediaEval 2017 Predicting Media Interestingness Task S Yoon MediaEval, 2017 | 7 | 2017 |
Mubbasir KapadiaRutgers University, Computer Science Department在 rutgers.edu 的电子邮件经过验证
