David Zhang
Computer Vision and Pattern Recognition · with Zhang · 2022
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it
Whom David Zhang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yunjin Chen (in Computer Vision and Pattern Recognition)
- Lei Zhang (in Computer Vision and Pattern Recognition)
- Wangmeng Zuo (in Computer Vision and Pattern Recognition)
Papers from David Zhang's perspective
Ordered by how strongly the researchers David Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Image quality assessment: from error visibility to structural similarity
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- FSIM: A Feature Similarity Index for Image Quality Assessment
Their papers
- Multi-stage image denoising with the wavelet transform (2022) — 407 citations