Vaibhav Aggarwal

Computer Vision and Pattern Recognition · with Bolya · 2023

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 38 citations into it

Whom Vaibhav Aggarwal trusts overall

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

1. Kaiming He

Papers from Vaibhav Aggarwal's perspective

Ordered by how strongly the researchers Vaibhav Aggarwal 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Histograms of oriented gradients for human detection
6. Microsoft COCO: Common Objects in Context
7. Mask R-CNN
8. Attention is All you Need (Neural Information Processing Systems)
9. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles (2023) — 437 citations