Vítor Manuel de Jesus Filipe

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 7 citations into it

Whom Vítor Manuel de Jesus Filipe trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Sergey Ioffe
7. Ilya Sutskever
8. Karen Simonyan
9. Shaoqing Ren
10. Andrew Zisserman

Papers from Vítor Manuel de Jesus Filipe's perspective

Ordered by how strongly the researchers Vítor Manuel de Jesus Filipe 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Visible and Thermal Image-Based Trunk Detection with Deep Learning for Forestry Mobile Robotics (2021) — 38 citations