| Learning Deep Representations of Appearance and Motion for Anomalous Event Detection D Xu, E Ricci, Y Yan, J Song, N Sebe BMVC, 2015 | 272 | 2015 |
| Fortune Teller: Predicting Your Career Path Y Liu, L Zhang, L Nie, Y Yan, D Rosenblum AAAI Conference on Artificial Intelligence (AAAI), 2016 | 225 | 2016 |
| Person Re-Identification via Recurrent Feature Aggregation Y Yan, B Ni, Z Song, C Ma, Y Yan, X Yang ECCV, 2016 | 176 | 2016 |
| Multitask linear discriminant analysis for view invariant action recognition Y Yan, E Ricci, R Subramanian, G Liu, N Sebe IEEE Transactions on Image Processing 23 (12), 5599-5611, 2014 | 166 | 2014 |
| Detecting anomalous events in videos by learning deep representations of appearance and motion D Xu, Y Yan, E Ricci, N Sebe Computer Vision and Image Understanding, 2017 | 161 | 2017 |
| Egocentric Daily Activity Recognition via Multitask Clustering Y Yan, E Ricci, G Liu, N Sebe IEEE Transactions on Image Processing, 2015 | 129 | 2015 |
| No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion Y Yan, E Ricci, R Subramanian, O Lanz, N Sebe ICCV, 1177-1184, 2013 | 125 | 2013 |
| Recurrent Face Aging W Wang, Z Cui, Y Yan, J Feng, N Sebe, X Shu, S Yan CVPR, 2016 | 122 | 2016 |
| Graph self-representation method for unsupervised feature selection R Hu, X Zhu, D Cheng, W He, Y Yan, J Song, S Zhang Neurocomputing, 2016 | 120 | 2016 |
| Event Oriented Dictionary Learning for Complex Event Detection Y Yan, Y Yang, D Meng, G Liu, W Tong, A Hauptmann, N Sebe IEEE Transactions on Image Processing (TIP), 2015 | 120 | 2015 |
| A Multi-task Learning Framework for Head Pose Estimation under Target Motion Y Yan, E Ricci, R Subramanian, G Liu, O Lanz, N Sebe IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 | 99 | 2016 |
| Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation J Song, L Gao, F Nie, HT Shen, Y Yan, N Sebe IEEE Transactions on Image Processing, 2016 | 95 | 2016 |
| A bottom-up clustering approach to unsupervised person re-identification Y Lin, X Dong, L Zheng, Y Yan, Y Yang AAAI Conference on Artificial Intelligence, 2019 | 85 | 2019 |
| Optimal Graph Leaning with Partial Tags and Multiple Features for Image and Video Annotation L Gao, J Song, F Nie, Y Yan, N Sebe, H Shen CVPR, 2015 | 75 | 2015 |
| Analyzing Free-standing Conversational Groups: a Multimodal Approach X Alameda-Pineda, Y Yan, E Ricci, O Lanz, N Sebe ACM Multimedia, 2015 | 68 | 2015 |
| L1-Norm Low-Rank Matrix Factorization by Variational Bayes Q Zhao, D Meng, Z Xu, W Zuo, Y Yan IEEE Transactions on Neural Networks and Learning Systems, 2015 | 64 | 2015 |
| Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion X Alameda-Pineda, E Ricci, Y Yan, N Sebe CVPR, 2016 | 61 | 2016 |
| On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions R Subramanian, Y Yan, J Staiano, O Lanz, N Sebe Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 57 | 2013 |
| Category Specific Dictionary Learning for Attribute Specific Feature Selection W Wang, Y Yan, S Winkler, N Sebe IEEE Transactions on Image Processing, 2016 | 49 | 2016 |
| GLocal tells you more: coupling GLocal structural for feature selection with sparsity for image and video classification Y Yan, H Shen, G Liu, Z Ma, C Gao, N Sebe Computer Vision and Image Understanding 124, 99-109, 2014 | 49 | 2014 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
