Qihang Zhou

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 — 15 citations into it

Whom Qihang Zhou trusts overall

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

1. Kaiyang Zhou
2. Kaiming He
3. Nima Tajbakhsh
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Jingkang Yang
7. Ross B. Girshick
8. Yang Zou
9. Diederik P. Kingma
10. Yoshua Bengio

Papers from Qihang Zhou's perspective

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

Their papers

• AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection (2023) — 445 citations