Pierre Sermanet
E210596
Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pierre Sermanet canonical | 2 |
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
person ⓘ researcher ⓘ |
| coAuthorWith |
Andrew Rabinovich
ⓘ
Christian Szegedy ⓘ David Eigen ⓘ Ilya Goodfellow ⓘ Jonathon Shlens ⓘ Koray Kavukcuoglu ⓘ Rob Fergus ⓘ Scott Reed ⓘ Sergey Ioffe ⓘ Soumith Chintala ⓘ Yann LeCun ⓘ Zbigniew Wojna ⓘ |
| countryOfCitizenship | France ⓘ |
| doctoralAdvisor | Yann LeCun ⓘ |
| educatedAt |
New York University
ⓘ
École Polytechnique ⓘ |
| employer |
Google
ⓘ
DeepMind ⓘ
surface form:
Google DeepMind
|
| fieldOfWork |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ |
| hasPublicationType |
arXiv preprints
ⓘ
conference papers ⓘ journal articles ⓘ |
| hasResearchInterest |
autonomous driving perception
ⓘ
end-to-end learning ⓘ representation learning ⓘ robot perception ⓘ visual recognition ⓘ |
| hasRole |
machine learning researcher
ⓘ
research scientist ⓘ |
| knownFor |
convolutional neural networks
ⓘ
deep learning for vision ⓘ image recognition research ⓘ object detection research ⓘ |
| languageSpoken |
English
ⓘ
French ⓘ |
| notableWork |
research on convolutional neural networks at DeepMind
ⓘ
research on convolutional neural networks at Google ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.