Bo Huang
Computer Vision and Pattern Recognition · International Journal of Geographical Information Science · 2010–2018
A researcher in the Science corpus: 5 papers; trusts 148 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 68 citations into it
- Media Technology — 47 citations into it; #1,342 of 3,621 by trust here, #1,696 by citations
- Economics and Econometrics — 26 citations into it; #17,887 of 23,481 by trust here, #13,168 by citations
- Artificial Intelligence — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Computational Mechanics — 7 citations into it
- Environmental Engineering — 7 citations into it
Whom Bo Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Danlin Yu
- Andrey Pavlov
- Joseph E. Aldy
- Lung-fei Lee
- Sergio J. Rey
- William T. Freeman
- J. Keith Ord
- Mário A. T. Figueiredo
- Luc Anselin
Who trusts Bo Huang overall
- Qunming Wang
- Xiaolin Zhu
- Kai Cao
- Peter M. Atkinson
- Zhuo Zheng
- Daisuke Murakami
- Pedram Ghamisi
- Yanfei Zhong
- Qiangqiang Yuan
- Fangyi Cai
Papers from Bo Huang's perspective
Ordered by how strongly the researchers Bo Huang 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)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010) — 1,345 citations
- Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery (2018) — 545 citations
- The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification (2016) — 101 citations
- Convergence of per capita carbon dioxide emissions in urban China: A spatio-temporal perspective (2013) — 125 citations
- Spatiotemporal Reflectance Fusion via Sparse Representation (2012) — 348 citations