Shuhui Bu
Computer Vision and Pattern Recognition · 2014–2018
A researcher in the Science corpus: 7 papers; trusts 534 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 169 citations into it; #5,655 of 21,575 by trust here, #4,865 by citations
- Media Technology — 51 citations into it; #779 of 3,621 by trust here, #505 by citations
- Artificial Intelligence — 49 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Remote Sensing — 19 citations into it; #53 of 95 by trust here, #26 by citations
- Aerospace Engineering — 16 citations into it; #5,579 of 6,421 by trust here, #4,205 by citations
- Ocean Engineering — 9 citations into it
- Computational Mechanics — 8 citations into it
Whom Shuhui Bu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ross B. Girshick
- David G. Lowe
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Diederik P. Kingma
- Andrew Zisserman
Who trusts Shuhui Bu overall
Papers from Shuhui Bu's perspective
Ordered by how strongly the researchers Shuhui Bu 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images (2018) — 387 citations
- Scene parsing using inference Embedded Deep Networks (2016) — 22 citations
- A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF (2015) — 87 citations
- Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping (2015) — 91 citations
- Weakly Supervised Learning for Target Detection in Remote Sensing Images (2015) — 99 citations
- Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding (2014) — 215 citations
- Strathprints Institutional Repository Shuhui and Ren, Jinchang (2015) Effective and Efficient Midlevel Visual Elements-oriented Land-use Classification Using Vhr Remote Sensing Images. Ieee Transactions on Geoscience and Remote Sensing, 53 (8). Pp. 4238-4249. Issn 0196-2892 Effective and Efficient M