Dingjun Yu
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it; #19,322 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 8 citations into it; #31,470 of 35,345 by trust here, #25,809 by citations
- Model Architectures — 5 citations into it; #1,986 of 2,278 by trust here, #1,976 by citations
Whom Dingjun Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Matthew D. Zeiler
- Geoffrey E. Hinton
- Yann LeCun
- Vinod Nair
- Ilya Sutskever
- Pierre Sermanet
- Patrice Y. Simard
- Rob Fergus
- Yoshua Bengio
Who trusts Dingjun Yu overall
- Hossein Gholamalinezhad
- Farhad Shiri
- Mercedes Eugenia Paoletti
- Leiyu Chen
- Qianru Zhang
- Jifeng Shen
- Hossein Khosravi
- Thinagaran Perumal
- Juan Mario Haut
Papers from Dingjun Yu's perspective
Ordered by how strongly the researchers Dingjun Yu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Mixed Pooling for Convolutional Neural Networks (2014) — 425 citations