Scholar
Alexander (Sasha) Sax
Google Scholar ID: PIq7jcUAAAAJ
FAIR (Meta AI)
Citations & Impact
Citations
4,847
H-index
12
i10-index
12
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - CVPR Best Paper Award Nomination (X-Task Consistency, 2020)
- - CVPR Best Paper Award (Taskonomy, 2018)
- - NVIDIA Pioneering Research Award (Gibson Environment, 2018)
- - Stanford University Distinction in Research (Computational Evidence for Structure in the Space of Tasks, 2018)
- - Winner of CVPR Habitat Embodied Agents Challenge (Mid-Level Representations, RGB track, 2019)
- - Outstanding Reviewer (ICLR '24, CVPR '22)
- - Published several key papers, including Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D, etc.
Research Experience
- - Senior Research Scientist at Meta FAIR
- - Focuses on large-scale training for predictive and generative models using supervised learning and RL
- - Develops multimodal 3D datasets, simulators, and techniques for efficient pretraining and finetuning
Education
- - PhD: University of California, Berkeley, advised by Jitendra Malik and Amir Zamir (EPFL)
- - MS and BS: Stanford University, advised by Silvio Savarese, graduated with an Erdős number of 3
- - Interned at FAIR in the summer of 2022, mentored by Georgia Gkioxari
Background
- Research Interests: Building multimodal foundation models to enable embodied agents that can perceive, act in, and communicate about the physical world.
Miscellany
- Personal interests not mentioned
Co-authors