Hongqi Wang

Computer Vision and Pattern Recognition · 2013–2023

A researcher in the Science corpus: 7 papers; trusts 184 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #10,445 of 21,575 by trust here, #10,334 by citations
• Media Technology — 39 citations into it; #1,175 of 3,621 by trust here, #773 by citations
• Artificial Intelligence — 20 citations into it
• Atmospheric Science — 11 citations into it; #1,740 of 4,804 by trust here, #1,505 by citations
• Remote Sensing — 10 citations into it; #59 of 95 by trust here, #40 by citations
• Aerospace Engineering — 6 citations into it

Whom Hongqi Wang trusts overall

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

1. David G. Lowe
2. Pedro F. Felzenszwalb
3. Yi Yang
4. Chih-Jen Lin
5. Kaiming He
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. Alex Krizhevsky
9. Li Fei-Fei
10. Ofir Pele

Who trusts Hongqi Wang overall

1. Gong Cheng
2. Yanfei Zhong

Papers from Hongqi Wang's perspective

Ordered by how strongly the researchers Hongqi Wang 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Histograms of oriented gradients for human detection
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Few-shot incremental learning with continual prototype calibration for remote sensing image fine-grained classification (2023)
• Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images (2017) — 538 citations
• A generic discriminative part-based model for geospatial object detection in optical remote sensing images (2015) — 53 citations
• Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model (2014) — 125 citations
• Semi-Supervised Manifold Learning Based Multigraph Fusion for High-Resolution Remote Sensing Image Classification (2014) — 16 citations
• High-Resolution Remote-Sensing Image Classification via an Approximate Earth Mover's Distance-Based Bag-of-Features Model (2013) — 26 citations
• Automatic Annotation of Satellite Images via Multifeature Joint Sparse Coding With Spatial Relation Constraint (2013) — 80 citations