| Ava: A video dataset of spatio-temporally localized atomic visual actions C Gu, C Sun, DA Ross, C Vondrick, C Pantofaru, Y Li, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 368 | 2018 |
| Sfm-net: Learning of structure and motion from video S Vijayanarasimhan, S Ricco, C Schmid, R Sukthankar, K Fragkiadaki arXiv preprint arXiv:1704.07804, 2017 | 277 | 2017 |
| Correcting motion artifacts in retinal spectral domain optical coherence tomography via image registration S Ricco, M Chen, H Ishikawa, G Wollstein, J Schuman International Conference on Medical Image Computing and Computer-Assisted …, 2009 | 92 | 2009 |
| Dense lagrangian motion estimation with occlusions S Ricco, C Tomasi 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1800-1807, 2012 | 38 | 2012 |
| Fingerspelling recognition through classification of letter-to-letter transitions S Ricco, C Tomasi Asian Conference on Computer Vision, 214-225, 2009 | 31 | 2009 |
| Selecting and presenting representative frames for video previews S Shetty, T Izo, M Tsai, S Vijayanarasimhan, A Natsev, S Abu-El-Haija, ... US Patent 9,953,222, 2018 | 30 | 2018 |
| Textured occupancy grids for monocular localization without features J Mason, S Ricco, R Parr 2011 IEEE International Conference on Robotics and Automation, 5800-5806, 2011 | 22 | 2011 |
| Articulated motion discovery using pairs of trajectories L Del Pero, S Ricco, R Sukthankar, V Ferrari Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 19 | 2015 |
| Motion prediction under multimodality with conditional stochastic networks K Fragkiadaki, J Huang, A Alemi, S Vijayanarasimhan, S Ricco, ... arXiv preprint arXiv:1705.02082, 2017 | 17 | 2017 |
| Video motion for every visible point S Ricco, C Tomasi Proceedings of the IEEE International Conference on Computer Vision, 2464-2471, 2013 | 14 | 2013 |
| Sfm-net: Learning of structure and motion from video. arXiv 2017 S Vijayanarasimhan, S Ricco, C Schmid, R Sukthankar, K Fragkiadaki arXiv preprint arXiv:1704.07804, 0 | 10 | |
| Discovering the physical parts of an articulated object class from multiple videos L Del Pero, S Ricco, R Sukthankar, V Ferrari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 9 | 2016 |
| Behavior discovery and alignment of articulated object classes from unstructured video L Del Pero, S Ricco, R Sukthankar, V Ferrari International journal of computer vision 121 (2), 303-325, 2017 | 7 | 2017 |
| Simultaneous compaction and factorization of sparse image motion matrices S Ricco, C Tomasi European Conference on Computer Vision, 456-469, 2012 | 6 | 2012 |
| Scavenging with a laptop robot A Davidson, M Mason, S Ricco, B Tribelhorn, Z Dodds AAAI, 1724-1725, 2005 | 5 | 2005 |
| Self-supervised learning of structure and motion from video A Fragkiadaki, B Seybold, C Schmid, R Sukthankar, S Vijayanarasimhan, ... | 3 | 2017 |
| Recovering spatiotemporal correspondence between deformable objects by exploiting consistent foreground motion in video L Del Pero, S Ricco, R Sukthankar, V Ferrari arXiv preprint arXiv:1412.0477, 2014 | 3 | 2014 |
| Video motion: finding complete motion paths for every visible point SM Ricco Duke University, 2013 | 3 | 2013 |
| Classifiction of scan location in retinal optical coherence tomography S Ricco, M Chen 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 3 | 2009 |
| Determining structure and motion in images using neural networks CL Schmid, S Vijayanarasimhan, SM Ricco, BA Seybold, R Sukthankar, ... US Patent 10,878,583, 2020 | | 2020 |
Carlo TomasiProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Carlo TomasiProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu