Kanchana Ranasinghe
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 3 papers; trusts 286 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 105 citations into it
- Artificial Intelligence — 99 citations into it
- Safety, Robustness & Interpretability — 31 citations into it
- Model Architectures — 24 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Molecular Biology — 7 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Kanchana Ranasinghe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Christian Szegedy
- Ross B. Girshick
- Andrew Zisserman
Papers from Kanchana Ranasinghe's perspective
Ordered by how strongly the researchers Kanchana Ranasinghe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Intriguing Properties of Vision Transformers (2021) — 825 citations
- On Improving Adversarial Transferability of Vision Transformers (2021) — 111 citations
- Orthogonal Projection Loss (2021) — 100 citations