Dewen Hu
Computer Vision and Pattern Recognition · 2005–2021
A researcher in the Science corpus: 11 papers; trusts 196 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 83 citations into it; #20,079 of 21,575 by trust here, #19,310 by citations
- Cognitive Neuroscience — 78 citations into it; #10,154 of 10,852 by trust here, #5,043 by citations
- Artificial Intelligence — 40 citations into it
- Radiology, Nuclear Medicine and Imaging — 33 citations into it; #3,006 of 3,265 by trust here, #1,664 by citations
- Reinforcement Learning — 18 citations into it
- Signal Processing — 16 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Aerospace Engineering — 11 citations into it
Whom Dewen Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon Justin Julier
- Richard S. Sutton
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Karen Simonyan
- Ross B. Girshick
- Yoshua Bengio
- Thomas G. Dietterich
Who trusts Dewen Hu overall
Papers from Dewen Hu's perspective
Ordered by how strongly the researchers Dewen Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Multiobjective Reinforcement Learning: A Comprehensive Overview (2015) — 412 citations
- Pixel Difference Networks for Efficient Edge Detection (2021) — 527 citations
- Correlation-based channel selection and regularized feature optimization for MI-based BCI (2019) — 300 citations
- Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI (2018) — 253 citations
- Extended local binary patterns for face recognition (2016) — 132 citations
- Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. (2012) — 746 citations
- Optimization-based alignment for inertial navigation systems: Theory and algorithm (2011) — 235 citations
- Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI (2010) — 367 citations
- A Numerical-Integration Perspective on Gaussian Filters (2006) — 316 citations
- Kernel Least-Squares Temporal Difference Learning (2006)
- Strapdown inertial navigation system algorithms based on dual quaternions (2005) — 99 citations