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Susanna Ricco
Susanna Ricco
在 google.com 的电子邮件经过验证
标题
引用次数
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年份
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
11182018
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
5052017
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
1112009
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
682018
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
542021
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
472015
Dense lagrangian motion estimation with occlusions
S Ricco, C Tomasi
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1800-1807, 2012
472012
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
25
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
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
192017
Video motion for every visible point
S Ricco, C Tomasi
Proceedings of the IEEE International Conference on Computer Vision, 2464-2471, 2013
182013
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
172020
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
152020
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
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
82024
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
82024
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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