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Andreas Veit

Google (United States) · US
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Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, and Machine Learning and Data Classification.
h-index
26
citations
5,462
works
65
NIH funding
primary concept
email

Recent publications

Convolutional Networks with Adaptive Inference Graphs
Lecture notes in computer science 2018cited by 389position: firstdoi
How To Backdoor Federated Learning.
International Conference on Artificial Intelligence and Statistics 2018cited by 181position: middle
Learning to Evaluate Image Captioning
2018cited by 139position: middledoi
Learning from Noisy Large-Scale Datasets with Minimal Supervision
2017cited by 478position: firstdoi
ICDAR2017 Robust Reading Challenge on COCO-Text
2017cited by 61position: middledoi
Crowd Research
2017cited by 47position: middledoi
Residual networks behave like ensembles of relatively shallow networks
Neural Information Processing Systems 2016cited by 342position: first
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
2015cited by 282position: firstdoi
Quantitative T1 and T2 mapping in recurrent glioblastomas under bevacizumab: earlier detection of tumor progression compared to conventional MRI
Neuroradiology 2014cited by 95position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Serge Belongie · University of Copenhagen7 papers (2015–2018)Michael J. Wilber · Google (United States)2 papers (2016–2017)Kavita Bala · Sri Ramachandra Institute of Higher Education and Research1 papers (2015–2015)Abhinav Gupta · New York University1 papers (2017–2017) · 1 papers (2017–2017)Stephanie Lescher · Health and Education Research Management and Epidemiologic Services (United States)1 papers (2014–2014)Guandao Yang · Cornell University1 papers (2018–2018)Jiřı́ Matas · University of Surrey1 papers (2017–2017)Lluís Gómez · Universitat de Barcelona1 papers (2017–2017)Snehalkumar S. Gaikwad · Massachusetts Institute of Technology1 papers (2017–2017)Xun Huang · Guangxi University1 papers (2018–2018)Julian McAuley · University of California San Diego1 papers (2015–2015) · 1 papers (2017–2017)Balázs Kovács · Cornell University1 papers (2015–2015) · 1 papers (2017–2017)Geza Kovacs · Palo Alto University1 papers (2017–2017) · 1 papers (2017–2017) · 1 papers (2017–2017)Rajan Vaish · Palo Alto University1 papers (2017–2017)Ranjay Krishna · University of Washington1 papers (2017–2017)
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