Vincent Grondin

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 11 citations into it

Whom Vincent Grondin trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Piotr Doll'ar

Papers from Vincent Grondin's perspective

Ordered by how strongly the researchers Vincent Grondin 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Microsoft COCO: Common Objects in Context
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Instance Segmentation for Autonomous Log Grasping in Forestry Operations (2022) — 38 citations