Petr Kellnhofer

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 6 papers; trusts 342 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 118 citations into it
• Artificial Intelligence — 33 citations into it
• Human-Computer Interaction — 28 citations into it; #2,131 of 2,253 by trust here, #948 by citations
• Computer Graphics and Computer-Aided Design — 26 citations into it
• Computational Mechanics — 25 citations into it
• Generative Models — 24 citations into it
• Model Architectures — 18 citations into it
• Radiology, Nuclear Medicine and Imaging — 16 citations into it

Whom Petr Kellnhofer trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Ilya Sutskever
6. Ross B. Girshick
7. Karen Simonyan
8. Yoshua Bengio
9. Yann LeCun
10. Shaoqing Ren

Who trusts Petr Kellnhofer overall

1. Xucong Zhang
2. Yi Fang
3. Heliang Zheng
4. Shuai Yang

Papers from Petr Kellnhofer's perspective

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

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

Their papers

• pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis (2020) — 978 citations
• Gaze360: Physically Unconstrained Gaze Estimation in the Wild (2019) — 494 citations
• Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks (2018) — 153 citations
• Learning the signatures of the human grasp using a scalable tactile glove (2019) — 1,066 citations
• Towards real-time photorealistic 3D holography with deep neural networks (2021) — 491 citations
• Eye Tracking for Everyone (2016) — 997 citations