Christoph Meinel
Computer Vision and Pattern Recognition · 2010–2023
A researcher in the Science corpus: 11 papers; trusts 718 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 107 citations into it; #9,772 of 21,575 by trust here, #11,950 by citations
- Artificial Intelligence — 88 citations into it; #15,276 of 35,345 by trust here, #17,776 by citations
- Multimodal Learning — 36 citations into it
- Generative Models — 22 citations into it; #1,048 of 1,956 by trust here, #1,875 by citations
- Model Architectures — 19 citations into it
- Natural Language Processing — 17 citations into it
- Optimization & Training — 12 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
Whom Christoph Meinel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Karen Simonyan
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Andrew Zisserman
Who trusts Christoph Meinel overall
- Mingxia Liu
- Garrett Wilson
- Divya Saxena
- Meghavi Rana
- Chintan Parmar
- Zongwei Zhou
- Clio Dosi
- Ahmed Hosny
Papers from Christoph Meinel's perspective
Ordered by how strongly the researchers Christoph Meinel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators (2018) — 54 citations
- Image Captioning with Deep Bidirectional LSTMs (2016) — 299 citations
- Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain? (2021) — 159 citations
- PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain? (2023) — 310 citations
- A Survey on Essential Components of a Self-Sovereign Identity (2018) — 445 citations
- Deep Learning for Medical Image Analysis (2017) — 2,676 citations
- Digital Communication (2014) — 428 citations
- Design Thinking Research (2012) — 296 citations
- Transforming Constructivist Learning into Action: Design thinking in education (2012) — 320 citations
- Evolving discourses on design thinking: how design cognition inspires meta-disciplinary creative collaboration (2010) — 89 citations
- Design Thinking: An Educational Model (2010) — 139 citations