Andreas R. Dengel

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 17 papers; trusts 1,045 researchers and is trusted by 187 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 272 citations into it; #2,821 of 21,575 by trust here, #4,105 by citations
• Artificial Intelligence — 183 citations into it; #7,360 of 35,345 by trust here, #11,490 by citations
• Generative Models — 82 citations into it
• Model Architectures — 50 citations into it
• Evaluation & Benchmarks — 46 citations into it; #813 of 3,147 by trust here, #942 by citations
• Natural Language Processing — 45 citations into it
• Multimodal Learning — 43 citations into it
• Media Technology — 39 citations into it; #1,742 of 3,621 by trust here, #398 by citations

Whom Andreas R. Dengel trusts overall

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

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

Who trusts Andreas R. Dengel overall

1. Matthias Feurer
2. Cong Yao
3. Sebastian Schmidl
4. Marc-André Zöller
5. Lukás Neumann
6. Frank Hutter
7. Hongzhi Wang
8. Mennatallah Amer
9. Katharina Eggensperger
10. Xiang Bai

Papers from Andreas R. Dengel's perspective

Ordered by how strongly the researchers Andreas R. Dengel 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (2017) — 2,804 citations
• ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images (2011) — 449 citations
• Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (2018) — 293 citations
• Real-time Analysis and Visualization of the YFCC100m Dataset (2015) — 48 citations
• A Study of Various Text Augmentation Techniques for Relation Classification in Free Text (2019) — 40 citations
• Adversarial Text-to-Image Synthesis: A Review (2021) — 207 citations
• Local Feature Based Online Mode Detection with Recurrent Neural Networks (2012) — 37 citations
• Automatic classifier selection for non-experts (2014) — 163 citations
• Audioclip: Extending Clip to Image, Text and Audio (2021) — 572 citations
• DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series (2019) — 618 citations
• TSViz: Demystification of Deep Learning Models for Time-Series Analysis (2018) — 94 citations
• Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks (2017) — 60 citations
• Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks (2017) — 272 citations
• DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images (2017) — 365 citations
• Contextual Enrichment of Remote-Sensed Events with Social Media Streams (2016) — 41 citations
• Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm (2012) — 684 citations
• Meta-learning for evolutionary parameter optimization of classifiers (2012) — 173 citations