Bernhard Kerbl

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it; #10,149 of 21,575 by trust here, #6,954 by citations

Whom Bernhard Kerbl trusts overall

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

1. Justus Thies
2. Eric Penner
3. T. Muller
4. Alex Yu
5. Arno Knapitsch
6. Tinghui Zhou
7. Chris Buehler
8. Yifan Wang
9. Qiangeng Xu
10. Li Zhang

Who trusts Bernhard Kerbl overall

1. Jiaxiang Tang
2. Zhiwen Fan
3. Zehao Yu
4. Kerui Ren
5. Zilong Chen
6. Antoine Guédon
7. Zehao Zhu
8. Tao Lu
9. Binbin Huang
10. Ziyi Yang

Papers from Bernhard Kerbl's perspective

Ordered by how strongly the researchers Bernhard Kerbl 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• 3D Gaussian Splatting for Real-Time Radiance Field Rendering (2023) — 9,441 citations
• A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets (2024) — 347 citations