Ajantha Vijayakumar

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 336 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 18 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Ajantha Vijayakumar trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Tsung-Yi Lin
6. Joseph Redmon
7. Piotr Doll'ar
8. Yann LeCun
9. Yoshua Bengio
10. Karen Simonyan

Papers from Ajantha Vijayakumar's perspective

Ordered by how strongly the researchers Ajantha Vijayakumar 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• YOLO-based Object Detection Models: A Review and its Applications (2024) — 430 citations