Wei Hu
Computer Vision and Pattern Recognition · with Li · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #14,968 of 21,575 by trust here, #8,409 by citations
- Artificial Intelligence — 13 citations into it
- Media Technology — 10 citations into it; #2,295 of 3,621 by trust here, #773 by citations
- Signal Processing — 7 citations into it
Whom Wei Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Dan Claudiu Ciresan
- Iroon Polytechniou
- Geoffrey E. Hinton
- Ross B. Girshick
- Pierre Sermanet
- Alex Krizhevsky
- Yoshua Bengio
- J. Urgen Schmidhuber
- Farid Melgani
Who trusts Wei Hu overall
- Mengmeng Zhang
- Hyungtae Lee
- Hao Wu
- Ping Zhong
- Renlong Hang
- Shutao Li
- Ava Vali
- Xin He
- Guangrui Zhao
- Mingyi He
Papers from Wei Hu's perspective
Ordered by how strongly the researchers Wei 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation (2017) — 334 citations
- Deep Convolutional Neural Networks for Hyperspectral Image Classification (2015) — 1,704 citations