Chunle Guo
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 9 papers; trusts 881 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 329 citations into it; #7,654 of 21,575 by trust here, #7,027 by citations
- Media Technology — 121 citations into it; #1,474 of 3,621 by trust here, #2,280 by citations
- Evaluation & Benchmarks — 28 citations into it
- Generative Models — 27 citations into it
- Artificial Intelligence — 20 citations into it
- Model Architectures — 19 citations into it
- Computer Graphics and Computer-Aided Design — 8 citations into it
- Optimization & Training — 6 citations into it
Whom Chunle Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Andrew Zisserman
- Ilya Sutskever
Who trusts Chunle Guo overall
- Chongyi Li
- Tao Wang
- Runmin Cong
- Zewei He
- Lintao Peng
- Peixian Zhuang
- Hailin Jiang
- Weidong Zhang
- Wen-Bin Wu
- Risheng Liu
Papers from Chunle Guo's perspective
Ordered by how strongly the researchers Chunle Guo 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)
- 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)
- Gradient-based learning applied to document recognition
- 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
- FocusCut: Diving into a Focus View in Interactive Segmentation (2022) — 68 citations
- PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators (2023) — 302 citations
- Image Dehazing Transformer with Transmission-Aware 3D Position Embedding (2022) — 548 citations
- Low-Light Image and Video Enhancement Using Deep Learning: A Survey (2021) — 573 citations
- Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation (2021) — 854 citations
- Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding (2021) — 912 citations
- An Underwater Image Enhancement Benchmark Dataset and Beyond (2019) — 2,021 citations
- Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer (2017) — 519 citations