Jichang Guo
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 167 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 99 citations into it; #7,232 of 21,575 by trust here, #8,122 by citations
- Media Technology — 40 citations into it; #1,380 of 3,621 by trust here, #2,280 by citations
- Generative Models — 11 citations into it
- Computer Graphics and Computer-Aided Design — 6 citations into it
Whom Jichang Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Christopher Evans
- Geoffrey E. Hinton
- Hang Zhao
- Alex Krizhevsky
- Diederik P. Kingma
- Alec Radford
- Zhou Wang
- David G. Lowe
- Yoshua Bengio
Who trusts Jichang Guo overall
- Chongyi Li
- Chunle Guo
- Lintao Peng
- Runmin Cong
- Ye-cai Guo
- Yudong Wang
- Chunli Zhu
- Peixian Zhuang
- Mohammad Jahanbakht
- Junhui Hou
Papers from Jichang Guo's perspective
Ordered by how strongly the researchers Jichang Guo 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)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement (2020) — 2,237 citations
- LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement (2018) — 484 citations
- Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer (2017) — 519 citations
- Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior (2016) — 813 citations