Christiane Zimmermann
Computer Vision and Pattern Recognition · 2005–2019
A researcher in the Science corpus: 3 papers; trusts 224 researchers and is trusted by 131 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it; #2,961 of 21,575 by trust here, #6,371 by citations
- Human-Computer Interaction — 21 citations into it; #69 of 2,253 by trust here, #243 by citations
- Control and Systems Engineering — 13 citations into it; #324 of 8,257 by trust here, #779 by citations
- 3D Vision & Pose — 9 citations into it; #128 of 689 by trust here, #368 by citations
- Computational Mechanics — 7 citations into it
- Biomedical Engineering — 5 citations into it
Whom Christiane Zimmermann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Markus Oberweger
- Jonathan Tompson
- Yann LeCun
- Geoffrey E. Hinton
- Christian Szegedy
- Alex Krizhevsky
- Alexander Toshev
- Jimmy Ba
- Kaiming He
Who trusts Christiane Zimmermann overall
- Supreeth Narasimhaswamy
- Yu Rong
- Fanqing Lin
- Yujun Cai
- Liuhao Ge
- Gyeongsik Moon
- Georgios Pavlakos
- Linlin Yang
- Korrawe Karunratanakul
- Yana Hasson
Papers from Christiane Zimmermann's perspective
Ordered by how strongly the researchers Christiane Zimmermann trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning to Estimate 3D Hand Pose from Single RGB Images (2017) — 819 citations
- FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images (2019) — 514 citations
- HP-Filter (web interface) (2005) — 326 citations