Lei Guo

Computer Vision and Pattern Recognition · with Han · 2008–2020

A researcher in the Science corpus: 18 papers; trusts 972 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 383 citations into it; #3,686 of 21,575 by trust here, #2,024 by citations
• Media Technology — 174 citations into it; #330 of 3,621 by trust here, #139 by citations
• Artificial Intelligence — 92 citations into it
• Remote Sensing — 56 citations into it; #30 of 95 by trust here, #11 by citations
• Representation & Self-Supervised Learning — 55 citations into it
• Atmospheric Science — 38 citations into it; #4,049 of 4,804 by trust here, #2,873 by citations
• Cognitive Neuroscience — 35 citations into it
• Aerospace Engineering — 29 citations into it

Whom Lei Guo trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ross B. Girshick
6. Pedro F. Felzenszwalb
7. Kaiming He
8. Andrew Zisserman
9. Yann LeCun
10. Karen Simonyan

Who trusts Lei Guo overall

1. Gong Cheng
2. Peicheng Zhou
3. Junwei Han
4. Xiwen Yao
5. Souleyman Chaib
6. Lijun Zhao
7. Bei Zhao
8. Yuan Yuan
9. Zikun Liu
10. Dingwen Zhang

Papers from Lei Guo's perspective

Ordered by how strongly the researchers Lei Guo 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities (2020) — 818 citations
• When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (2018) — 1,041 citations
• Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning (2016) — 325 citations
• Two-Stage Learning to Predict Human Eye Fixations via SDAEs (2016) — 150 citations
• Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images (2015) — 63 citations
• Learning coarse-to-fine sparselets for efficient object detection and scene classification (2015) — 58 citations
• A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF (2015) — 87 citations
• Semantic Segmentation based on Stacked Discriminative Autoencoders and Context-Constrained Weakly Supervised Learning (2015) — 11 citations
• Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning (2015)
• Background Prior-Based Salient Object Detection via Deep Reconstruction Residual (2015) — 449 citations
• Weakly Supervised Learning for Target Detection in Remote Sensing Images (2015) — 99 citations
• Multi-class geospatial object detection and geographic image classification based on collection of part detectors (2014) — 928 citations
• Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images (2014) — 24 citations
• Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding (2014) — 215 citations
• Object detection in remote sensing imagery using a discriminatively trained mixture model (2013) — 164 citations
• Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA (2013) — 267 citations
• Review of methods for functional brain connectivity detection using fMRI (2008) — 309 citations
• Strathprints Institutional Repository Shuhui and Ren, Jinchang (2015) Effective and Efficient Midlevel Visual Elements-oriented Land-use Classification Using Vhr Remote Sensing Images. Ieee Transactions on Geoscience and Remote Sensing, 53 (8). Pp. 4238-4249. Issn 0196-2892 Effective and Efficient M