Trevor J. Darrell

Research topics

• Advanced Neural Network Applications · 4 papers
• Domain Adaptation and Few-Shot Learning · 3 papers
• Multimodal Machine Learning Applications · 2 papers
• Advanced Image and Video Retrieval Techniques · 2 papers
• Generative Adversarial Networks and Image Synthesis · 1 paper

Frequent co-authors

• Jonathan Long · 3 papers
• Evan Shelhamer · 3 papers
• Ross Girshick · 2 papers
• Jeff Donahue · 2 papers
• Jitendra Malik · 1 paper
• Yangqing Jia · 1 paper
• Sergey Karayev · 1 paper
• Sergio Guadarrama · 1 paper

Papers

1. Fully convolutional networks for semantic segmentation2015 · 37,731 citations

   Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-art in semantic segmentation. Our key insight is to build “fully convolutional” networks that take input of…

2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014 · 32,278 citations

   Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context. In this paper, we propose…

3. Fully Convolutional Networks for Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 11,270 citations

   Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, improve on the previous best result in semantic segmentation. Our key insight is to build "fully convolutional" networks that…

4. Caffe2014 · 11,223 citations

   Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models. The framework is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general-purpose…