Yian Zhao

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it

Whom Yian Zhao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. X. Zhang
5. Joseph Redmon
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Shaoqing Ren
9. Yoshua Bengio
10. Yann LeCun

Papers from Yian Zhao's perspective

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

Their papers

• RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer (2024) — 298 citations
• DETRs Beat YOLOs on Real-time Object Detection (2023) — 3,776 citations