Julian Ost

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• 3D Vision & Pose — 12 citations into it

Whom Julian Ost trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Johannes L. Schönberger
3. Vincent Sitzmann
4. Andreas Geiger
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Lars M. Mescheder
8. Kaiming He
9. Alex Krizhevsky
10. Michael Niemeyer

Who trusts Julian Ost overall

1. Antoni Rosinol
2. Matthew Tancik
3. Konstantinos Rematas
4. Ze Yang
5. Abhijit Kundu
6. Jonathan T. Barron
7. Pratul P. Srinivasan
8. A. Tewari
9. John J. Leonard

Papers from Julian Ost's perspective

Ordered by how strongly the researchers Julian Ost trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Neural Scene Graphs for Dynamic Scenes (2020) — 392 citations