Chongyi Li
Computer Vision and Pattern Recognition · 2016–2024
A researcher in the Science corpus: 16 papers; trusts 987 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 442 citations into it; #4,852 of 21,575 by trust here, #5,013 by citations
- Media Technology — 193 citations into it; #1,083 of 3,621 by trust here, #1,770 by citations
- Generative Models — 40 citations into it
- Evaluation & Benchmarks — 31 citations into it
- Atomic and Molecular Physics, and Optics — 29 citations into it
- Model Architectures — 27 citations into it
- Artificial Intelligence — 24 citations into it
- Computer Graphics and Computer-Aided Design — 16 citations into it
Whom Chongyi Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Andrew Zisserman
- Ilya Sutskever
Who trusts Chongyi Li overall
- Runmin Cong
- Lintao Peng
- Chunle Guo
- Peixian Zhuang
- Weidong Zhang
- Chunli Zhu
- Yudong Wang
- Wenyu Yang
- Ye-cai Guo
- Tao Wang
Papers from Chongyi Li's perspective
Ordered by how strongly the researchers Chongyi Li 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
- Towards Robust Blind Face Restoration with Codebook Lookup Transformer (2022) — 413 citations
- Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion (2024) — 332 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
- Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement (2022) — 775 citations
- Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors (2022) — 386 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
- Bayesian retinex underwater image enhancement (2021) — 357 citations
- Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images (2019) — 307 citations
- An Underwater Image Enhancement Benchmark Dataset and Beyond (2019) — 2,021 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