Marcel Worring

Computer Vision and Pattern Recognition · 2000–2020

A researcher in the Science corpus: 9 papers; trusts 655 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 143 citations into it; #3,281 of 21,575 by trust here, #3,035 by citations
• Artificial Intelligence — 63 citations into it
• Sociology and Political Science — 27 citations into it
• Media Technology — 19 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Signal Processing — 17 citations into it; #1,686 of 7,572 by trust here, #861 by citations
• Generative Models — 15 citations into it
• Information Retrieval & Search — 14 citations into it; #561 of 1,022 by trust here, #252 by citations

Whom Marcel Worring trusts overall

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

1. David G. Lowe
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Cees G. M. Snoek
5. Alex Krizhevsky
6. Antonio Torralba
7. Vladimir Naumovich Vapni
8. Chih-Jen Lin
9. Kaiming He
10. Andrew Zisserman

Who trusts Marcel Worring overall

1. Cees G. M. Snoek
2. Xirong Li
3. Donna K. Harman
4. Ritendra Datta
5. Minh N. Do
6. Zechao Li
7. Dacheng Tao
8. Jun Yu
9. Yi Yang
10. Steven C. H. Hoi

Papers from Marcel Worring's perspective

Ordered by how strongly the researchers Marcel Worring 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. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Content-Based Image Retrieval at the End of the Early Years (2000) — 2,409 citations
• Early versus late fusion in semantic video analysis (2005) — 987 citations
• The challenge problem for automated detection of 101 semantic concepts in multimedia (2006) — 688 citations
• Concept-Based Video Retrieval (2009) — 450 citations
• Multimodal Video Indexing: A Review of the State-of-the-art (2004) — 574 citations
• Content-based visual search learned from social media (2012) — 309 citations
• What you Feel, Is what you like Influence of Message Appeals on Customer Engagement on Instagram (2020) — 295 citations
• Detecting CNN-Generated Facial Images in Real-World Scenarios (2020) — 95 citations
• NIST Special Publication (2005) — 399 citations