Y. Hu

Computer Vision and Pattern Recognition · with Li · 2002–2018

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #17,364 of 21,575 by trust here, #21,103 by citations
• Computer Networks and Communications — 11 citations into it; #2,075 of 9,886 by trust here, #2,136 by citations
• Electrical and Electronic Engineering — 8 citations into it; #3,992 of 16,539 by trust here, #7,308 by citations
• Artificial Intelligence — 6 citations into it; #9,487 of 35,345 by trust here, #12,083 by citations

Whom Y. Hu trusts overall

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

1. Deborah Estrin
2. Alex Krizhevsky
3. Chris Savarese
4. Geoffrey E. Hinton
5. Jan M. Rabaey
6. Yann LeCun
7. Shigeo Abe
8. Ilya Sutskever
9. David E. Culler

Who trusts Y. Hu overall

1. Tian Li
2. Xinlei Chen
3. Doron Blatt
4. Marthinus Christoffel du Plessis
5. Dana Hughes
6. Jialei Wang
7. Eduardo Freire Nakamura
8. Deng Cai
9. Maziar Sanjabi
10. Virginia Smith

Papers from Y. Hu's perspective

Ordered by how strongly the researchers Y. Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Caffe: Convolutional Architecture for Fast Feature Embedding
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Vehicle classification in distributed sensor networks (2004) — 573 citations
• Detection, classification, and tracking of targets (2002) — 1,043 citations
• Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks (2005) — 787 citations
• Exploring Energy and Accuracy Tradeoff in Structure Simplification of Trained Deep Neural Networks (2018) — 28 citations
• Detection, Classification and Tracking of Targets in Distributed Sensor Networks (2002) — 350 citations