Kanchana Thilakarathna

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Computational Mechanics — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Kanchana Thilakarathna trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Ishan Misra
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yoshua Bengio
9. Ross B. Girshick

Papers from Kanchana Thilakarathna's perspective

Ordered by how strongly the researchers Kanchana Thilakarathna 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey of Wearable Devices and Challenges (2017) — 677 citations
• CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding (2022) — 359 citations