Yanfei Zhong

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 14 papers; trusts 1,083 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 348 citations into it; #5,571 of 21,575 by trust here, #3,680 by citations
• Media Technology — 199 citations into it; #589 of 3,621 by trust here, #209 by citations
• Artificial Intelligence — 93 citations into it
• Remote Sensing — 55 citations into it
• Atmospheric Science — 47 citations into it; #1,393 of 4,804 by trust here, #1,084 by citations
• Representation & Self-Supervised Learning — 47 citations into it
• Ocean Engineering — 26 citations into it
• Ecology — 25 citations into it; #8,897 of 10,717 by trust here, #3,477 by citations

Whom Yanfei Zhong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Andrew Zisserman
7. Yi Yang
8. Karen Simonyan
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Yanfei Zhong overall

1. Liangpei Zhang
2. Gong Cheng
3. Fan Zhang
4. Bo Du
5. Xiaobing Han
6. Gui-Song Xia
7. Junwei Han
8. Lefei Zhang
9. Xiaoping Liu
10. Qiqi Zhu

Papers from Yanfei Zhong's perspective

Ordered by how strongly the researchers Yanfei Zhong trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification (2016) — 2,251 citations
• A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification (2021) — 157 citations
• LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation (2021) — 670 citations
• Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters (2021) — 516 citations
• WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF (2020) — 523 citations
• Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (2020) — 325 citations
• Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification (2017) — 300 citations
• Large patch convolutional neural networks for the scene classification of high spatial resolution imagery (2016) — 112 citations
• Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery (2016) — 322 citations
• The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification (2016) — 101 citations
• A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery (2016) — 134 citations
• Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery (2016) — 26 citations
• Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery (2016) — 328 citations
• Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery (2015) — 224 citations