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About

Trevor Jackson Darrell is an American computer scientist and professor in the Computer Science Division of the University of California, Berkeley. His research interests include computer vision, machine learning, computer graphics, and perception-based human–computer interaction.

Most cited

850 papers in total

2015

Fully convolutional networks for semantic segmentation

37,707 citationsRead

2014

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

32,275 citationsRead

2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Fully Convolutional Networks for Semantic Segmentation

11,276 citationsRead

2014

Caffe

11,245 citationsRead

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

A ConvNet for the 2020s

8,066 citationsRead

2016

Context Encoders: Feature Learning by Inpainting

5,782 citationsRead