University of California, Berkeley (US)
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H-index
148
Publications
826
Citations
218464
i10-index
490
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Sign Up Free| Title | Year | Citations |
|---|---|---|
Fully convolutional networks for semantic segmenta... | 2015 | 37652 |
Rich Feature Hierarchies for Accurate Object Detec... | 2014 | 32120 |
Caffe | 2014 | 11204 |
Fully Convolutional Networks for Semantic Segmenta... | 2016 | 11201 |
A ConvNet for the 2020s | 2022 | 8251 |
Context Encoders: Feature Learning by Inpainting | 2016 | 5752 |
Long-term recurrent convolutional networks for vis... | 2015 | 5311 |
Adversarial Discriminative Domain Adaptation | 2017 | 5087 |
Caffe: Convolutional Architecture for Fast Feature... | 2014 | 4242 |
Pfinder: real-time tracking of the human body | 1997 | 4178 |
Trevor J. Darrell is a researcher with 826 publications and 218464 citations. They are affiliated with University of California, Berkeley. Their research focuses on . With an h-index of 148, they are among the top researchers in their field.
Distribution of citations across publications
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