D. Han

Computer Vision and Pattern Recognition · with Fang · 2021

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 11 citations into it
• Multimodal Learning — 5 citations into it

Whom D. Han trusts overall

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

1. Kaiming He
2. Tsung-Yi Lin
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Alexey Bochkovskiy
7. Linwei Ye
8. Ilya Sutskever
9. Valentin Gabeur
10. Shaoqing Ren

Papers from D. Han's perspective

Ordered by how strongly the researchers D. Han 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Microsoft COCO: Common Objects in Context
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cross-Modality Fusion Transformer for Multispectral Object Detection (2021) — 367 citations