Yangdong Deng
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 609 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 107 citations into it; #12,992 of 21,575 by trust here, #5,941 by citations
- Artificial Intelligence — 58 citations into it; #26,980 of 35,345 by trust here, #10,566 by citations
- Model Architectures — 29 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Aerospace Engineering — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Yangdong Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Tsung-Yi Lin
- Christian Szegedy
- Geoffrey E. Hinton
- Shaoqing Ren
- Piotr Doll'ar
- Karen Simonyan
- David G. Lowe
Who trusts Yangdong Deng overall
Papers from Yangdong Deng's perspective
Ordered by how strongly the researchers Yangdong Deng 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Light-Head R-CNN: In Defense of Two-Stage Object Detector (2017) — 393 citations
- DetNet: A Backbone network for Object Detection (2018) — 280 citations
- DetNet: Design Backbone for Object Detection (2018) — 228 citations