Yong Peng

Computer Vision and Pattern Recognition · with Chen · 2024

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 — 13 citations into it

Whom Yong Peng trusts

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

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

Papers from Yong Peng's perspective

Ordered by how strongly the researchers Yong Peng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Going deeper with convolutions
2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
3. SSD: Single Shot MultiBox Detector
4. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
5. Feature Pyramid Networks for Object Detection
6. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
7. Focal Loss for Dense Object Detection
8. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
9. Path Aggregation Network for Instance Segmentation
10. EfficientDet: Scalable and Efficient Object Detection

Their papers

• Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases (2024) — 385 citations