Wei Li

Computer Vision and Pattern Recognition · IEEE Transactions on Geoscience and Remote Sensing · 2012–2022

A researcher in the Science corpus: 18 papers; trusts 829 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 332 citations into it; #3,925 of 21,575 by trust here, #3,747 by citations
• Media Technology — 160 citations into it; #231 of 3,621 by trust here, #203 by citations
• Artificial Intelligence — 152 citations into it; #12,548 of 35,345 by trust here, #10,942 by citations
• Atmospheric Science — 63 citations into it; #496 of 4,804 by trust here, #688 by citations
• Representation & Self-Supervised Learning — 47 citations into it
• Computer Networks and Communications — 40 citations into it
• Model Architectures — 32 citations into it
• Aerospace Engineering — 27 citations into it

Whom Wei Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. David G. Lowe
7. Yann LeCun
8. Ilya Sutskever
9. Diederik P. Kingma
10. Karen Simonyan

Who trusts Wei Li overall

1. Shutao Li
2. Qian Du
3. Mercedes Eugenia Paoletti
4. Xiaodong Xu
5. Xudong Kang
6. Mengmeng Zhang
7. Sen Jia
8. Swalpa Kumar Roy
9. Pedram Ghamisi
10. Alberto Signoroni

Papers from Wei Li's perspective

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

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

Their papers

• Open-Vocabulary DETR with Conditional Matching (2022) — 319 citations
• Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022) — 441 citations
• Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification (2022) — 310 citations
• Single-Source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification (2022) — 306 citations
• Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey (2021) — 296 citations
• HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers (2020) — 354 citations
• Will autonomous vehicles change auto commuters’ value of travel time? (2020) — 118 citations
• Multisource Remote Sensing Data Classification Based on Convolutional Neural Network (2018) — 614 citations
• Hyperspectral Image Classification Using Deep Pixel-Pair Features (2017) — 714 citations
• Land-use scene classification using multi-scale completed local binary patterns (2016) — 152 citations
• Scene classification using local and global features with collaborative representation fusion (2016) — 158 citations
• Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors (2016) — 146 citations
• Deep Convolutional Neural Networks for Hyperspectral Image Classification (2015) — 1,704 citations
• Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification (2015) — 42 citations
• Collaborative Representation for Hyperspectral Anomaly Detection (2015) — 672 citations
• Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification (2015) — 638 citations
• Multisensor data fusion in Shared Sensor and Actuator Networks (2014) — 20 citations
• Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis (2012) — 457 citations