Ph.D. Dissertations - Alexei (Alyosha) Efros
Disentangled Visual Generative Models
Dave Epstein [2024]
Generative Models for Image and Long Video Synthesis
Tim Brooks [2023]
Generative Models of Images and Neural Networks
Bill Peebles [2023]
Scalable Binding
Allan Jabri [2023]
Test-Time Training
Yu Sun [2023]
Machine Learning for Deep Image Synthesis
Taesung Park [2021]
Modeling Visual Minutiae: Gestures, Styles, and Temporal Patterns
Shiry Ginosar [2020]
Multiplicative Coding and Factorization in Vector Symbolic Models of Cognition
Spencer Kent [2020]
Learning to Generalize via Self-Supervised Prediction
Deepak Pathak [2019]
Image Synthesis for Self-Supervised Visual Representation Learning
Richard Zhang [2018]
Visual Learning Beyond Direct Supervision
Tinghui Zhou [2018]
Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using Light-Field Cameras
Ting-Chun Wang [2017]
Learning to Synthesize and Manipulate Natural Images
Jun-Yan Zhu [2017]