J. Hong

Computer Vision and Pattern Recognition · with Daoudi · 2023

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom J. Hong trusts overall

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

1. Joseph Redmon
2. Juan R. Terven

Papers from J. Hong's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. You Only Look Once: Unified, Real-Time Object Detection
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Real-Time Flying Object Detection with YOLOv8 (2023) — 788 citations