Wenjing Wang
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 118 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it; #5,419 of 21,575 by trust here, #8,722 by citations
- Media Technology — 21 citations into it
- Atomic and Molecular Physics, and Optics — 8 citations into it
Whom Wenjing Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Xiaojie Guo
- Xueyang Fu
- Kede Ma
- Kin Gwn Lore
- Zhou Wang
- Duc-Tien Dang-Nguyen
- Augustus Odena
- X. Zhang
- Liang Shen
Who trusts Wenjing Wang overall
- Yonghua Zhang
- Syed Waqas Zamir
- Feifan Lv
- Wenhan Yang
- Risheng Liu
- Zhenqi Fu
- Xiaojie Guo
- Jiawan Zhang
- Xiaogang Xu
- Chongyi Li
Papers from Wenjing Wang's perspective
Ordered by how strongly the researchers Wenjing Wang 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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
- Deep Retinex Decomposition for Low-Light Enhancement (2018) — 2,652 citations
- GLADNet: Low-Light Enhancement Network with Global Awareness (2018) — 331 citations
- Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement (2021) — 728 citations