Jian Zhan

Computer Vision and Pattern Recognition · with Guo · 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 Jian Zhan trusts overall

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

1. Kaiming He

Papers from Jian Zhan's perspective

Ordered by how strongly the researchers Jian Zhan 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. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Going deeper with convolutions
7. Non-local Neural Networks
8. Aggregated Residual Transformations for Deep Neural Networks
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

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