Weikun Peng
Computer Vision and Pattern Recognition · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
- Signal Processing — 6 citations into it
Whom Weikun Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Weikun Peng's perspective
Ordered by how strongly the researchers Weikun Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- Multiscale structural similarity for image quality assessment
- End-to-end Optimized Image Compression (International Conference on Learning Representations)
- Variational image compression with a scale hyperprior
- Theoretical foundations of transform coding
- Checkerboard Context Model for Efficient Learned Image Compression (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks