Lin Cao
Environmental Engineering · Forests · 2018–2021
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 41 citations into it
- Insect Science — 22 citations into it
- Nature and Landscape Conservation — 21 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Geology — 18 citations into it
- Artificial Intelligence — 13 citations into it
Whom Lin Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Luke Wallace
- Joanne C. White
- Arko Lucieer
- Stefano Puliti
- Yi Lin
- C. Stepper
- Darren Turner
- Hans Ole Ørka
Papers from Lin Cao's perspective
Ordered by how strongly the researchers Lin Cao trusts endorse each paper. Same corpus, a different order for every researcher.
- Microsoft COCO: Common Objects in Context
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- A Forest Fire Detection System Based on Ensemble Learning (2021) — 493 citations
- Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach (2021) — 151 citations
- Comparison of UAV LiDAR and Digital Aerial Photogrammetry Point Clouds for Estimating Forest Structural Attributes in Subtropical Planted Forests (2019) — 142 citations
- Marker-free coregistration of UAV and backpack LiDAR point clouds in forested areas (2019) — 101 citations
- Estimating forest structural attributes using UAV-LiDAR data in Ginkgo plantations (2018) — 184 citations