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Trevor Darrell — most-cited papers & profile · Computer Vision
← authors
·
overview
Trevor Darrell
65
papers ·
20637
citations ·
139
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Fully Convolutional Networks for Semantic Segmentation
2016 · 11093 citations
A ConvNet for the 2020s
2022 · 7082 citations
Few-Shot Segmentation Propagation with Guided Networks
2018 · 103 citations
Visual Prompting via Image Inpainting
2022 · 50 citations
Frustratingly Simple Few-Shot Object Detection
2020 · 40 citations
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
2023 · 33 citations
Segmentation from Natural Language Expressions
2016 · 28 citations
Real-World Robot Learning with Masked Visual Pre-training
2022 · 27 citations
Learning Features by Watching Objects Move
2016 · 18 citations
Quasi-Dense Similarity Learning for Multiple Object Tracking
2020 · 18 citations
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions
2016 · 17 citations
Few-shot Object Detection via Feature Reweighting
2018 · 17 citations
Learning to Segment Every Thing
2017 · 15 citations
Disentangling Propagation and Generation for Video Prediction
2018 · 11 citations
Hierarchical Open-vocabulary Universal Image Segmentation
2023 · 9 citations
Top co-authors
Fisher Yu
· 4
Ronghang Hu
· 3
Xudong Wang
· 3
Alexei A. Efros
· 2
Amir Bar
· 2
Amir Globerson
· 2
Evan Shelhamer
· 2
Joseph E. Gonzalez
· 2
Marcus Rohrbach
· 2
Piotr Doll\'ar
· 2
Roei Herzig
· 2
Ross Girshick
· 2
Topics
Object Detection
Segmentation
Image Generation
Video Understanding
Visual Language
Image Restoration
Tracking
3D Vision
Autonomous Driving