Xintao Hu
Computer Vision and Pattern Recognition · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 124 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 64 citations into it; #10,898 of 21,575 by trust here, #7,657 by citations
- Media Technology — 20 citations into it; #1,910 of 3,621 by trust here, #1,206 by citations
- Artificial Intelligence — 15 citations into it
- Aerospace Engineering — 5 citations into it; #5,577 of 6,421 by trust here, #4,205 by citations
Whom Xintao Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- David G. Lowe
- Junwei Han
- Alex Krizhevsky
- Geoffrey E. Hinton
- Pedro F. Felzenszwalb
- Ross B. Girshick
- Gong Cheng
- Kaiming He
- Yann LeCun
Who trusts Xintao Hu overall
Papers from Xintao Hu's perspective
Ordered by how strongly the researchers Xintao Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Background Prior-Based Salient Object Detection via Deep Reconstruction Residual (2015) — 449 citations
- Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping (2015) — 91 citations
- Object detection in remote sensing imagery using a discriminatively trained mixture model (2013) — 164 citations