Kemar E. Green
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
- Generative Models — 7 citations into it
Whom Kemar E. Green trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kemar E. Green's perspective
Ordered by how strongly the researchers Kemar E. Green 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP (2021) — 36 citations