Johannes Oetsch
Computer Vision and Pattern Recognition · 2024
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
Whom Johannes Oetsch trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
- Christopher D. Manning (in Computer Vision and Pattern Recognition)
- Antonio Torralba (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- C. Lawrence Zitnick (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Pushmeet Kohli (in Computer Vision and Pattern Recognition)
- Drew A. Hudson (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
Papers from Johannes Oetsch's perspective
Ordered by how strongly the researchers Johannes Oetsch trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions