M.L. Luo

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom M.L. Luo trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
3. X. Zhang (in Computer Vision and Pattern Recognition)
4. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from M.L. Luo's perspective

Ordered by how strongly the researchers M.L. Luo 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. Rethinking the Inception Architecture for Computer Vision
3. Non-local Neural Networks
4. Aggregated Residual Transformations for Deep Neural Networks
5. Selective Kernel Networks
6. Dual Attention Network for Scene Segmentation
7. A2-Nets: Double Attention Networks
8. Res2Net: A New Multi-Scale Backbone Architecture
9. SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
10. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Their papers

• Efficient Multi-Scale Attention Module with Cross-Spatial Learning (2023) — 1,503 citations