Devin Guillory
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 49 citations into it
- Artificial Intelligence — 46 citations into it
Whom Devin Guillory trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Trevor Darrell (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- Quoc V. Le (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
Papers from Devin Guillory's perspective
Ordered by how strongly the researchers Devin Guillory trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- ImageNet classification with deep convolutional neural networks
- Mask R-CNN
- Visualizing and Understanding Convolutional Networks
- Unsupervised Visual Representation Learning by Context Prediction
- Representation Learning with Contrastive Predictive Coding
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
Their papers
- Self-Supervised Pretraining Improves Self-Supervised Pretraining (2021) — 137 citations