| Unsupervised behavior-specific dictionary learning for abnormal event detection H Ren, W Liu, SI Olsen, S Escalera, TB Moeslund British Machine Vision Conference 2015: Machine Vision of Animals and their …, 2015 | 57 | 2015 |
| Attention model based sift keypoints filtration for image retrieval K Gao, S Lin, Y Zhang, S Tang, H Ren Seventh IEEE/ACIS International Conference on Computer and Information …, 2008 | 46 | 2008 |
| Abnormal event detection using local sparse representation H Ren, TB Moeslund 2014 11th IEEE International Conference on Advanced Video and Signal Based …, 2014 | 22 | 2014 |
| Common visual pattern discovery via graph matching H Xie, K Gao, Y Zhang, J Li, H Ren Proceedings of the 19th ACM international conference on multimedia, 1385-1388, 2011 | 19 | 2011 |
| Visual words based spatiotemporal sequence matching in video copy detection H Ren, S Lin, D Zhang, S Tang, K Gao 2009 IEEE International Conference on Multimedia and Expo, 1382-1385, 2009 | 13 | 2009 |
| A comprehensive study of sparse codes on abnormality detection H Ren, H Pan, SI Olsen, TB Moeslund arXiv preprint arXiv:1603.04026, 2016 | 12 | 2016 |
| Effective and efficient image copy detection based on GPU H Xie, K Gao, Y Zhang, J Li, Y Liu, H Ren Trends and Topics in Computer Vision: ECCV 2010 Workshops, Heraklion, Crete …, 2012 | 11 | 2012 |
| Learning dynamic classes of events using stacked multilayer perceptron networks N Kanhabua, H Ren, TB Moeslund arXiv preprint arXiv:1606.07219, 2016 | 7 | 2016 |
| Locality regularized group sparse coding for action recognition MA Bagheri, Q Gao, S Escalera, TB Moeslund, H Ren, E Etemad Computer Vision and Image Understanding 158, 106-114, 2017 | 6 | 2017 |
| An in-depth study of sparse codes on abnormality detection H Ren, H Pan, SI Olsen, MB Jensen, TB Moeslund 2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016 | 6 | 2016 |
| Action recognition using salient neighboring histograms H Ren, TB Moeslund Image Processing (ICIP), 2013 20th IEEE International Conference on, 2807-2811, 2013 | 6 | 2013 |
| Greedy vs. l1 convex optimization in sparse coding: Comparative study in abnormal event detection H Ren, H Pan, SI Olsen, TB Moeslund ICML'15 Workshop: FEAST 2015: ICML Workshop on Features and Structures, 2015 | 5 | 2015 |
| Back‐dropout transfer learning for action recognition H Ren, N Kanhabua, A Møgelmose, W Liu, K Kulkarni, S Escalera, X Baró, ... IET Computer Vision 12 (4), 484-491, 2018 | 4 | 2018 |
| GPU 加速的基于增量式聚类的视频拷贝检测方法 任化敏， 张勇东， 林守勋 计算机辅助设计与图形学学报 22 (3), 449-456, 2010 | 4 | 2010 |
| Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms H. Ren, F. Bianchi, J. Li, R. Olsen, R. Jensse, S. Anfinsen 2021 IEEE International Conference on Consumer Electronics (ICCE), 2021 | 3 | 2021 |
| How Does Structured Sparsity Work in Abnormal Event Detection? H Ren, H Pan, SI Olsen, TB Moeslund ICML'15 Workshop: FEAST 2015: ICML Workshop on Features and Structures, 2015 | 2 | 2015 |
| Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring H Ren, X Su, R Jenssen, J Li, SN Anfinsen 2022 IEEE International Conference on Communications, Control, and Computing …, 2022 | 1 | 2022 |
| Understanding behaviors in videos through behavior-specific dictionaries H Ren, W Liu, SI Olsen, S Escalera, TB Moeslund Comput Vis Image Underst, 1-58, 2017 | 1 | 2017 |
| An incremental clustering based codebook construction in video copy detection H Ren, H Ramampiaro, Y Zhang, S Lin 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, 205-208, 2012 | 1 | 2012 |
| How Much Measurement Data is Required for Day-ahead Load Forecasting while using Sequential Models? H Ren, RL Olsen, HP Schwefel 2024 IEEE International Conference on Communications, Control, and Computing …, 2024 | | 2024 |
Thomas MoeslundProfessor, Aalborg UniversityEmail verificata su create.aau.dk