Scholar
Piotr Teterwak
Google Scholar ID: lUkd1AMAAAAJ
Boston University
Citations & Impact
Citations
7,373
H-index
9
i10-index
8
Publications
20
Co-authors
31
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - 'Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density', ICCV 2021
- - 'VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data', NeurIPS Competition Track 2021
- - 'Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers', ICML 2021
- - 'OCONet: Image Extrapolation by Object Completion', CVPR 2021
- - 'Supervised Contrastive Learning', NeurIPS 2020
- - 'Boundless: Generative Adversarial Networks for Image Extension', ICCV 2019
- - Awards:
- - NSF GRFP Honorable Mention
- - Dean's Fellowship
Research Experience
- - Work Experience:
- - AI Resident on the Perception Team at Google Research (worked with Dr. Dilip Krishnan, Dr. Ce Liu, Professor Mike Mozer, and others)
- - Member of the ML team at Apple
- - Member of a startup called Turi
Education
- - Degree: Ph.D. student
- - Institution: Boston University
- - Advisors: Professor Kate Saenko, Professor Bryan Plummer
- - Time: Ongoing
- - Major: Not specified
- - Bachelor's degree: Dartmouth College
- - Major: Computer Science
Background
- - Research Interests: Machine learning and computer vision, with a particular focus on learning compact but semantically rich representations.
- - Professional Field: Machine learning, Computer vision.
- - Brief Introduction: A Ph.D. student at Boston University, co-advised by Professors Kate Saenko and Bryan Plummer. Previously worked as an AI Resident on the Perception Team at Google Research, and also spent time on the ML team at Apple and a startup called Turi.
Miscellany
- - Personal Interests: Offers weekly office hours to discuss any topic, including PhD admissions, research, and graduate student life.
