Aaron Sarna

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

D Morphable Model

Visual Representations

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Joe Yue-Hei Ng, Kevin McCloskey, Jian Cui, Vincent R. Meijer, Erica Brand, Aaron Sarna, Nita Goyal, Christopher Van Arsdale, Scott Geraedts
Contrail Detection on GOES-16 ABI With the OpenContrails Dataset. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Joe Yue-Hei Ng, Kevin McCloskey, Jian Cui, Erica Brand, Aaron Sarna, Nita Goyal, Christopher Van Arsdale, Scott Geraedts
OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI. CoRR (2023)
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR (2022)
Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions. CoRR (2021)
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Supervised Contrastive Learning. NeurIPS (2020)
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser
Local Deep Implicit Functions for 3D Shape. CVPR (2020)
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Supervised Contrastive Learning. CoRR (2020)
Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. ICCV (2019)
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser
Deep Structured Implicit Functions. CoRR (2019)
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. CoRR (2019)
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser
Learning Shape Templates With Structured Implicit Functions. ICCV (2019)
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser
Learning Shape Templates with Structured Implicit Functions. CoRR (2019)
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman
Unsupervised Training for 3D Morphable Model Regression. CVPR (2018)
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman
Unsupervised Training for 3D Morphable Model Regression. CoRR (2018)
Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
Face Synthesis from Facial Identity Features. CoRR (2017)
Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
Synthesizing Normalized Faces from Facial Identity Features. CVPR (2017)