Vassilis Athitsos

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 10 papers; trusts 586 researchers and is trusted by 115 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it; #3,055 of 21,575 by trust here, #4,623 by citations
• Human-Computer Interaction — 41 citations into it; #129 of 2,253 by trust here, #203 by citations
• Artificial Intelligence — 29 citations into it
• Biomedical Engineering — 23 citations into it; #10,339 of 10,734 by trust here, #8,044 by citations
• Control and Systems Engineering — 10 citations into it; #7,401 of 8,257 by trust here, #4,262 by citations
• Aerospace Engineering — 6 citations into it; #2,144 of 6,421 by trust here, #3,764 by citations
• Developmental and Educational Psychology — 6 citations into it; #4,648 of 8,223 by trust here, #2,393 by citations
• Model Architectures — 5 citations into it

Whom Vassilis Athitsos trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Ivan Laptev
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Trevor Darrell
7. W. Grimson
8. Karen Simonyan
9. Andrew Zisserman
10. David G. Lowe

Who trusts Vassilis Athitsos overall

1. I. Oikonomidis
2. Christiane Zimmermann
3. Ankur Agarwal
4. Gregory Shakhnarovich
5. Srinath Sridhar
6. Danhang Tang
7. Nikolaos Kyriazis
8. H. Cooper
9. Jun Wan
10. Sergio Escalera

Papers from Vassilis Athitsos's perspective

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

Their papers

• Estimating 3D hand pose from a cluttered image (2003) — 495 citations
• Multi-modal gesture recognition challenge 2013: dataset and results (2013) — 206 citations
• A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation (2009) — 385 citations
• Challenges in multimodal gesture recognition (2016) — 76 citations
• Context-Aware Single-Shot Detector (2017) — 49 citations
• A viewpoint-independent statistical method for fall detection (2012) — 63 citations
• ChaLearn gesture challenge: Design and first results (2012) — 99 citations
• Results and Analysis of the ChaLearn Gesture Challenge 2012 (2012) — 53 citations
• Skin color-based video segmentation under time-varying illumination (2004) — 296 citations
• Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Texture-Mapped 3D Models (2000) — 648 citations