Lahiru Jayasinghe

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Lahiru Jayasinghe trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Navneet Dalal
5. Matthijs C. Dorst
6. Christian Szegedy
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Svetlana Lazebnik

Who trusts Lahiru Jayasinghe overall

1. Billy Pik Lik Lau

Papers from Lahiru Jayasinghe's perspective

Ordered by how strongly the researchers Lahiru Jayasinghe trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Feature Learning and Analysis for Cleanliness Classification in Restrooms (2019) — 11 citations
• Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery (2018) — 69 citations
• RF-based Direction Finding of UAVs Using DNN (2017) — 37 citations