Vincent Cheng-Siong Lee
Computer Vision and Pattern Recognition · with Ding · 2020
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Vincent Cheng-Siong Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Vincent Cheng-Siong Lee's perspective
Ordered by how strongly the researchers Vincent Cheng-Siong Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Fully convolutional networks for semantic segmentation
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Gradient-based learning applied to document recognition
- YOLO9000: Better, Faster, Stronger
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database