Ling Ding
Computer Vision and Pattern Recognition · 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 Ling Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ling Ding's perspective
Ordered by how strongly the researchers Ling Ding 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)
- YOLO9000: Better, Faster, Stronger
- You Only Look Once: Unified, Real-Time Object Detection
- Gradient-based learning applied to document recognition
- YOLOv3: An Incremental Improvement