Andreas Veit
Research Scientist at Google
I am currently a Research Scientist at Google Research in New York.
Before joining Google, I received my PhD in Computer Science from Cornell University and Cornell Tech in 2018, advised by Professor Serge Belongie.
My research interests lie in the fields of Deep Learning, Computer Vision and Machine Learning.
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Research Highlights
Adaptive Gradient Methods Converge Under Heavy-tailed Noise
Jingzhao Zhang,
Sai Praneeth Karimireddy,
Andreas Veit,
Seungyeon Kim,
Sashank J Reddi,
Sanjiv Kumar,
Suvrit Sra
NeurIPS 2020
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Bibtex
How To Backdoor Federated Learning
Eugene Bagdasaryan,
Andreas Veit,
Yiqing Hua,
Deborah Estrin,
Vitaly Shmatikov
AISTATS 2020
PDF
Bibtex
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit,
Serge Belongie
ECCV 2018 (Oral), International Journal for Computer Vision (IJCV) 2020
PDF
Bibtex
Conditional Similarity Networks
Andreas Veit,
Serge Belongie,
Theofanis Karaletsos
CVPR 2017
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Bibtex
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit,
Neil Alldrin,
Gal Chechik,
Ivan Krasin,
Abhinav Gupta,
Serge Belongie
CVPR 2017
PDF
Bibtex
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit,
Kimberly Wilber,
Serge Belongie
NIPS 2016
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Bibtex
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit,
Tomáš Matera,
Lukáš Neumann,
Jiri Matas,
Serge Belongie
Scene Understanding Workshop at CVPR 2016
PDF
Bibtex
Dataset
API
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Andreas Veit*,
Balazs Kovacs*,
Sean Bell,
Julian McAuley,
Kavita Bala,
Serge Belongie
ICCV 2015
PDF
Bibtex
Project Page
