Guanyao Wu

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Media Technology — 34 citations into it

Whom Guanyao Wu trusts overall

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

1. Hui Li
2. Jiayi Ma
3. Jinyuan Liu
4. Han Xu
5. Xiaojun Wu
6. Zhou Wang

Papers from Guanyao Wu's perspective

Ordered by how strongly the researchers Guanyao Wu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation (2023) — 337 citations
• Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection (2022) — 1,145 citations