Silvio Savarese

Computer Science Stanford University, Palo Alto, CA 
"Silvio Savarese"


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Pietro Perona grad student 2000-2005 Caltech (Neurotree)


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David Held grad student 2016 Stanford
Danfei Xu grad student 2015-2021 Stanford
Marynel Vázquez post-doc (Neurotree)
Amir R Zamir post-doc 2019 Stanford (Neurotree)


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Lamberto Ballan collaborator (E-Tree)
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Gupta A, Savarese S, Ganguli S, et al. (2021) Embodied intelligence via learning and evolution. Nature Communications. 12: 5721
Lee MA, Zhu Y, Zachares P, et al. (2020) Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Ieee Transactions On Robotics. 36: 582-596
Fang K, Zhu Y, Garg A, et al. (2019) Learning task-oriented grasping for tool manipulation from simulated self-supervision The International Journal of Robotics Research. 39: 202-216
Coscia P, Castaldo F, Palmieri FA, et al. (2018) Long-term path prediction in urban scenarios using circular distributions Image and Vision Computing. 69: 81-91
Wu C, Zhang J, Sener O, et al. (2017) Watch-n-Patch: Unsupervised Learning of Actions and Relations. Ieee Transactions On Pattern Analysis and Machine Intelligence
Held D, Levinson J, Thrun S, et al. (2016) Robust real-time tracking combining 3D shape, color, and motion International Journal of Robotics Research. 35: 30-49
Xiang Y, Choi W, Lin Y, et al. (2015) Data-driven 3D Voxel Patterns for object category recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 1903-1911
Golparvar-Fard M, Peña-Mora F, Savarese S. (2015) Automated progress monitoring using unordered daily construction photographs and IFC-based building information models Journal of Computing in Civil Engineering. 29
Savarese S, Sun M, Stark M. (2015) Editorial of Special Issue on Shape Representations Meet Visual Recognition Computer Vision and Image Understanding. 139: 88-88
Choi W, Chao YW, Pantofaru C, et al. (2015) Indoor Scene Understanding with Geometric and Semantic Contexts International Journal of Computer Vision. 112: 204-220
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