Qiaozhi Hua
Computer Vision and Pattern Recognition · 2022
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
Whom Qiaozhi Hua trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Qiaozhi Hua's perspective
Ordered by how strongly the researchers Qiaozhi Hua trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Microsoft COCO: Common Objects in Context
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks