Runpeng Cui
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 288 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it; #8,892 of 21,575 by trust here, #11,950 by citations
- Artificial Intelligence — 36 citations into it
- Model Architectures — 23 citations into it
- Human-Computer Interaction — 17 citations into it; #595 of 2,253 by trust here, #1,386 by citations
- Biomedical Engineering — 9 citations into it; #7,030 of 10,734 by trust here, #9,794 by citations
- Natural Language Processing — 8 citations into it
- Signal Processing — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Runpeng Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Diederik P. Kingma
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Christian Szegedy
- Sepp Hochreiter
Who trusts Runpeng Cui overall
- Hamid Reza Vaezi Joze
- Oscar Koller
- Necati Cihan Camgöz
- Hao Zhou
- Wen-gang Zhou
- Jie Huang
- Simon Hadfield
- Hu Liu
- Houqiang Li
- Richard Bowden
Papers from Runpeng Cui's perspective
Ordered by how strongly the researchers Runpeng Cui 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net (2017) — 129 citations
- A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training (2019) — 395 citations
- Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization (2017) — 324 citations