| Learning object class detectors from weakly annotated video A Prest, C Leistner, J Civera, C Schmid, V Ferrari 2012 IEEE Conference on computer vision and pattern recognition, 3282-3289, 2012 | 556 | 2012 |
| Weakly supervised learning of interactions between humans and objects A Prest, C Schmid, V Ferrari IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 601-614, 2011 | 289 | 2011 |
| Explicit modeling of human-object interactions in realistic videos A Prest, V Ferrari, C Schmid IEEE transactions on pattern analysis and machine intelligence 35 (4), 835-848, 2012 | 151 | 2012 |
| Recognition process of an object in a query image A Prest US Patent 10,068,154, 2018 | 9 | 2018 |
| Weakly supervised methods for learning actions and objects A Prest ETH Zurich, 2012 | 4 | 2012 |
| Recognition process of an object in a query image A Prest US Patent 10,650,237, 2020 | 3 | 2020 |
| Which energy minimization for my mrf/crf? a cheat-sheet B Alexe, T Deselaers, M Eicher, V Ferrari, P Gehler, A Lehmann, ... Tech. Rep. 273, Computer Vision Laboratory, ETH Zurich, 2010 | 1 | 2010 |
Vittorio FerrariDirector of science at SynthesiaVerified email at google.com
