Dimitrios Kollias

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 276 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it; #15,382 of 21,575 by trust here, #16,787 by citations
• Experimental and Cognitive Psychology — 54 citations into it; #5,301 of 9,731 by trust here, #5,545 by citations
• Artificial Intelligence — 16 citations into it
• Cognitive Neuroscience — 16 citations into it
• Signal Processing — 16 citations into it; #5,678 of 7,572 by trust here, #6,836 by citations
• Social Psychology — 10 citations into it
• Model Architectures — 7 citations into it

Whom Dimitrios Kollias trusts overall

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

1. Michel François Valstar
2. Kaiming He
3. Christian Szegedy
4. Karen Simonyan
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. R. Cowie
9. Andrea Vedaldi
10. Maja Pantic

Who trusts Dimitrios Kollias overall

1. Stefanos P. Zafeiriou
2. Attila Schulc
3. Konstantinos Makantasis
4. Elnar Hajiyev
5. Fabien Ringeval

Papers from Dimitrios Kollias's perspective

Ordered by how strongly the researchers Dimitrios Kollias 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. Long Short-Term Memory
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Analysing Affective Behavior in the First ABAW 2020 Competition (2020) — 332 citations
• Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace (2019) — 413 citations
• Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2018) — 518 citations
• Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge (2017) — 408 citations