Tsung-Yi Lin

Research topics

• Domain Adaptation and Few-Shot Learning · 3 papers
• Advanced Neural Network Applications · 3 papers
• Video Surveillance and Tracking Methods · 2 papers
• Advanced Image and Video Retrieval Techniques · 1 paper

Frequent co-authors

• Piotr Dollár · 3 papers
• Ross Girshick · 3 papers
• Kaiming He · 3 papers
• Priya Goyal · 2 papers
• Bharath Hariharan · 1 paper
• Serge Belongie · 1 paper

Papers

1. Feature Pyramid Networks for Object Detection2017 · 30,041 citations

   Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are slow to compute and…

2. Focal Loss for Dense Object Detection2017 · 27,631 citations

   The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are applied over a regular, dense…

3. Focal Loss for Dense Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 9,900 citations

   The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are applied over a regular, dense…