| A performance evaluation of gradient field hog descriptor for sketch based image retrieval R Hu, J Collomosse Computer Vision and Image Understanding 117 (7), 790-806, 2013 | 452 | 2013 |
| Gradient field descriptor for sketch based retrieval and localization R Hu, M Barnard, J Collomosse Image Processing (ICIP), 2010 17th IEEE International Conference on, 1025-1028, 2010 | 204 | 2010 |
| Comparing dissimilarity measures for content-based image retrieval H Liu, D Song, S Rüger, R Hu, V Uren Asia Information Retrieval Symposium, 44-50, 2008 | 113 | 2008 |
| A bag-of-regions approach to sketch-based image retrieval R Hu, T Wang, J Collomosse Image Processing (ICIP), 2011 18th IEEE International Conference on, 3661-3664, 2011 | 87 | 2011 |
| Image segmentation using hierarchical unsupervised segmentation and hierarchical classifiers D Larlus-Larrondo, R Hu, C Saunders, G Csurka US Patent 8,873,812, 2014 | 78 | 2014 |
| Dissimilarity measures for content-based image retrieval R Hu, S Rüger, D Song, H Liu, Z Huang Multimedia and Expo, 2008 IEEE International Conference on, 1365-1368, 2008 | 53 | 2008 |
| IoT-Based Home Monitoring: Supporting Practitioners’ Assessment by Behavioral Analysis N Mora, F Grossi, D Russo, P Barsocchi, R Hu, T Brunschwiler, B Michel, ... Sensors 19 (14), 3238, 2019 | 47 | 2019 |
| Markov random fields for sketch based video retrieval R Hu, S James, T Wang, J Collomosse Proceedings of the 3rd ACM conference on International conference on …, 2013 | 41 | 2013 |
| An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care R Hu, B Michel, D Russo, N Mora, G Matrella, P Ciampolini, F Cocchi, ... Future Internet 13 (1), 6, 2021 | 28 | 2021 |
| Elderly People Living Alone: Detecting Home Visits with Ambient and Wearable Sensing R Hu, H Pham, P Buluschek, D Gatica-Perez | 24 | 2017 |
| Motion-sketch based video retrieval using a trellis levenshtein distance R Hu, J Collomosse Pattern Recognition (ICPR), 2010 20th International Conference on, 121-124, 2010 | 23 | 2010 |
| Combining an Integrated Sensor Array with Machine Learning for the Simultaneous Quantification of Multiple Cations in Aqueous Mixtures G Gabrieli, R Hu, K Matsumoto, Y Temiz, S Bissig, A Cox, R Heller, ... Analytical Chemistry, 2021 | 19 | 2021 |
| InnerView: Learning Place Ambiance from Social Media Images D Santani, R Hu, D Gatica-Perez | 15 | 2016 |
| Annotated free-hand sketches for video retrieval using object semantics and motion R Hu, S James, J Collomosse International Conference on Multimedia Modeling, 473-484, 2012 | 15 | 2012 |
| Stylized ambient displays of digital media collections T Wang, J Collomosse, R Hu, D Slatter, D Greig, P Cheatle Computers & Graphics 35 (1), 54-66, 2011 | 15 | 2011 |
| A portable potentiometric electronic tongue leveraging smartphone and cloud platforms PW Ruch, R Hu, L Capua, Y Temiz, S Paredes, AL Marin, JB Carmona, ... arXiv preprint arXiv:1907.06641, 2019 | 12 | 2019 |
| Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation R Hu, JM Odobez, D Gatica-Perez Journal on Computing and Cultural Heritage, 0-0, 2016 | 11 | 2016 |
| Multimedia Analysis and Access of Ancient Maya Epigraphy: Tools to support scholars on Maya hieroglyphics R Hu, G Can, C Pallan Gayol, G Krempel, J Spotak, G Vail, ... Signal Processing Magazine, IEEE 32 (4), 75-84, 2015 | 11 | 2015 |
| Multimedia Analysis and Access of Ancient Maya Epigraphy: Tools to support scholars on Maya hieroglyphics R Hu, G Can, C Pallan Gayol, G Krempel, J Spotak, G Vail, ... Signal Processing Magazine, IEEE 32 (4), 75-84, 2015 | 11 | 2015 |
| MMIS at ImageCLEF 2008: Experiments combining different evidence sources S Overell, A Llorente, H Liu, R Hu, A Rae, J Zhu, D Song, S Rüger Working Notes from the Cross Language Evaluation Forum, 2008 | 11 | 2008 |
