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Dumitru Erhan
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Current focus areas are video generation and prediction and using that for model-based reinforcement learning. I used to work on fast single-shot detection, image captioning, visual question-answering, as well as structured outputs for image understanding. Formerly, I was part of Google Photos, and built neural network models that understand all the images and photos on the web.
Papers53 papers
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CVPR, pp.11115-11124, (2020)
Manoj Kumar, Mohammad Babaeizadeh,Dumitru Erhan,Chelsea Finn,Sergey Levine,Laurent Dinh, Durk Kingma
ICLR, (2020)
Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłos, Błażej Osiński,Roy H Campbell, Konrad Czechowski,Dumitru Erhan,Chelsea Finn, Piotr Kozakowski,Sergey Levine, Afroz Mohiuddin, Ryan Sepassi
ICLR, (2020)
Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan,Chelsea Finn,Sergey Levine,Dumitru Erhan
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski,Roy H. Campbell, Konrad Czechowski,Dumitru Erhan,Chelsea Finn, Piotr Kozakowski,Sergey Levine, Ryan Sepassi,George Tucker
arXiv: Learning, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)
2989705138, pp.81-91, (2019)
Cited by5EIBibtex
NeurIPS, (2019)
neural information processing systems, (2019)
Cited by2Bibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 9734-9745
Cited by42EIBibtex
arXiv: Computer Vision and Pattern Recognition, (2019)
ICML, (2018): 6033-6041
international conference on machine learning, (2018)
Bibtex
Pieter-Jan Kindermans,Kristof T. Schütt, Maximilian Alber,Klaus-Robert Müller,Dumitru Erhan,Been Kim,Sven Dähne
international conference on learning representations, (2018)
Pieter-Jan Kindermans, Sara Hooker,Julius Adebayo, Maximilian Alber,Kristof T. Schütt,Sven Dähne,Dumitru Erhan,Been Kim
arXiv: Machine Learning, (2018): 267-280
arXiv: Learning, (2018)
international conference on learning representations, (2018)
IEEE Trans. Pattern Anal. Mach. Intell., no. 4 (2017): 652-663
CVPR, (2017)
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