Barbara Roessle

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it

Whom Barbara Roessle trusts overall

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

1. Angela Dai
2. Diederik P. Kingma
3. Brian Curless
4. Johannes L. Schönberger
5. Xinjing Cheng
6. Angel X. Chang
7. Jimmy Ba
8. Kaiming He
9. Kangle Deng
10. Geoffrey E. Hinton

Who trusts Barbara Roessle overall

1. Sosuke Kobayashi
2. Wenjing Bian
3. Eiichi Matsumoto

Papers from Barbara Roessle's perspective

Ordered by how strongly the researchers Barbara Roessle 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Dense Depth Priors for Neural Radiance Fields from Sparse Input Views (2021) — 460 citations