Jianrui Cai
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 589 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 128 citations into it; #5,226 of 21,575 by trust here, #5,287 by citations
- Media Technology — 61 citations into it; #601 of 3,621 by trust here, #417 by citations
- Artificial Intelligence — 18 citations into it
- Generative Models — 16 citations into it; #1,928 of 1,956 by trust here, #1,415 by citations
- Atomic and Molecular Physics, and Optics — 9 citations into it
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 8 citations into it; #3,085 of 3,147 by trust here, #2,330 by citations
- Computational Mechanics — 7 citations into it
Whom Jianrui Cai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- X. Zhang
- David G. Lowe
- Ross B. Girshick
- Yann LeCun
- Sergey Ioffe
Who trusts Jianrui Cai overall
- Wenhan Yang
- Han Xu
- Jiayi Ma
- Chongyi Li
- Chunle Guo
- Syed Waqas Zamir
- Yufei Wang
- Zhisheng Lu
- Xiaojie Guo
- Chao Dong
Papers from Jianrui Cai's perspective
Ordered by how strongly the researchers Jianrui Cai 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Second-Order Attention Network for Single Image Super-Resolution (2019) — 1,809 citations
- Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model (2019) — 752 citations
- Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (2018) — 1,144 citations
- Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time (2020) — 363 citations