Vaibhav Aggarwal

Computer Vision and Pattern Recognition · with Wang · 2024–2025

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

Subfields

Whom Vaibhav Aggarwal trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

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. Attention is All you Need (Neural Information Processing Systems)
  2. Rethinking the Inception Architecture for Computer Vision
  3. Microsoft COCO: Common Objects in Context
  4. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  5. mixup: Beyond Empirical Risk Minimization
  6. Focal Loss for Dense Object Detection
  7. Feature Pyramid Networks for Object Detection
  8. Self-Training With Noisy Student Improves ImageNet Classification
  9. MnasNet: Platform-Aware Neural Architecture Search for Mobile
  10. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

Their papers