Bart Goossens

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 16 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Media Technology — 7 citations into it
• Model Architectures — 7 citations into it

Whom Bart Goossens trusts overall

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

1. Alex Krizhevsky
2. Stephen M. Smith
3. Yann LeCun
4. Tony F. Chan
5. Luminita A. Vese
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Kaiming He
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Bart Goossens overall

1. Hao Chen

Papers from Bart Goossens's perspective

Ordered by how strongly the researchers Bart Goossens 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Going deeper with convolutions
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Lower bounds on the robustness to adversarial perturbations (2017) — 69 citations
• MRI Segmentation of the Human Brain: Challenges, Methods, and Applications (2015) — 687 citations