Vasileios Belagiannis

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 9 papers; trusts 1,276 researchers and is trusted by 744 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 234 citations into it; #1,598 of 21,575 by trust here, #2,381 by citations
• Artificial Intelligence — 119 citations into it; #30,126 of 35,345 by trust here, #9,275 by citations
• Model Architectures — 43 citations into it
• Efficiency & Compression — 29 citations into it
• Optimization & Training — 24 citations into it
• 3D Vision & Pose — 23 citations into it
• Computational Mechanics — 23 citations into it; #6,209 of 10,001 by trust here, #1,778 by citations
• Aerospace Engineering — 22 citations into it

Whom Vasileios Belagiannis trusts overall

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

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

Who trusts Vasileios Belagiannis overall

1. Guanghan Ning
2. George Papandreou
3. Diogo Carbonera Luvizon
4. Andrew Zisserman
5. Dushyant Mehta
6. Muhammed Kocabas
7. Alex Kendall
8. Adrian Bulat
9. Zhe Cao
10. Bugra Tekin

Papers from Vasileios Belagiannis's perspective

Ordered by how strongly the researchers Vasileios Belagiannis 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Deeper Depth Prediction with Fully Convolutional Residual Networks (2016) — 2,021 citations
• Point Transformer (2020) — 3,096 citations
• Recurrent Human Pose Estimation (2016) — 323 citations
• 3D Pictorial Structures for Multiple Human Pose Estimation (2014) — 280 citations
• Robust Optimization for Deep Regression (2015) — 192 citations
• 3D Pictorial Structures Revisited: Multiple Human Pose Estimation (2016) — 123 citations
• Adversarial Network Compression (2018) — 61 citations
• Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (2017) — 432 citations
• AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images (2016) — 502 citations