Silvio Savarese
Affiliations: | Computer Science | Stanford University, Palo Alto, CA |
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"Silvio Savarese"Children
Sign in to add traineeDavid 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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Publications
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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 |