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Susanna Ricco
Susanna Ricco
Bestätigte E-Mail-Adresse bei google.com
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Zitiert von
Zitiert von
Jahr
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
12202018
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
5252017
Correcting motion artifacts in retinal spectral domain optical coherence tomography via image registration
S Ricco, M Chen, H Ishikawa, G Wollstein, J Schuman
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
1172009
Selecting and presenting representative frames for video previews
S Shetty, T Izo, MH Tsai, S Vijayanarasimhan, A Natsev, S Abu-El-Haija, ...
US Patent 9,953,222, 2018
702018
A step toward more inclusive people annotations for fairness
C Schumann, S Ricco, U Prabhu, V Ferrari, C Pantofaru
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 916-925, 2021
632021
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
502015
Dense lagrangian motion estimation with occlusions
S Ricco, C Tomasi
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1800-1807, 2012
482012
Fingerspelling recognition through classification of letter-to-letter transitions
S Ricco, C Tomasi
Asian conference on computer vision, 214-225, 2009
392009
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
26
Motion prediction under multimodality with conditional stochastic networks
K Fragkiadaki, J Huang, A Alemi, S Vijayanarasimhan, S Ricco, ...
arXiv preprint arXiv:1705.02082, 2017
242017
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
242011
Which skin tone measures are the most inclusive? An investigation of skin tone measures for artificial intelligence
CM Heldreth, EP Monk, AT Clark, C Schumann, X Eyee, S Ricco
ACM Journal on Responsible Computing 1 (1), 1-21, 2024
212024
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, 303-325, 2017
212017
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
182020
Introducing the model card toolkit for easier model transparency reporting
H Fang, H Miao, K Shukla, D Nanas, C Xu, C Greer, N Polyzotis, T Doshi, ...
Google AI Blog, 2020
182020
Video motion for every visible point
S Ricco, C Tomasi
Proceedings of the IEEE International Conference on Computer Vision, 2464-2471, 2013
182013
Consensus and subjectivity of skin tone annotation for ml fairness
C Schumann, F Olanubi, A Wright, E Monk, C Heldreth, S Ricco
Advances in Neural Information Processing Systems 36, 2024
162024
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
142016
Self-supervised learning of structure and motion from video
A Fragkiadaki, B Seybold, C Schmid, R Sukthankar, S Vijayanarasimhan, ...
arXiv e-prints, 2017
72017
Simultaneous compaction and factorization of sparse image motion matrices
S Ricco, C Tomasi
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
62012
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