Jussi Taipalmaa

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it

Whom Jussi Taipalmaa trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Joseph Redmon
6. Liang-Chieh Chen
7. Yann LeCun
8. Yoshua Bengio
9. Ji Zhang
10. Jeff Donahue

Papers from Jussi Taipalmaa's perspective

Ordered by how strongly the researchers Jussi Taipalmaa 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision (2020) — 489 citations