Wei Yao
Environmental Engineering · with Heurich · 2012–2021
A researcher in the Science corpus: 5 papers; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 26 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Insect Science — 21 citations into it
- Nature and Landscape Conservation — 20 citations into it
- Artificial Intelligence — 7 citations into it
Whom Wei Yao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Reitberger
- Tomas Brandtberg
- Jianbo Shi
- Yi Yang
- David Arthur
- Greg Hamerly
- Jitendra Malik
- Kaiming He
- Diederik P. Kingma
- Shiyong Cui
Who trusts Wei Yao overall
Papers from Wei Yao's perspective
Ordered by how strongly the researchers Wei Yao 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)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors (2021) — 35 citations
- Marker-free coregistration of UAV and backpack LiDAR point clouds in forested areas (2019) — 101 citations
- Application and Evaluation of a Hierarchical Patch Clustering Method for Remote Sensing Images (2016) — 12 citations
- Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data (2012) — 327 citations
- IDENTIFYING STANDING DEAD TREES IN FOREST AREAS BASED ON 3D SINGLE TREE DETECTION FROM FULL WAVEFORM LIDAR DATA (2012) — 48 citations