Taranjeet Singh

Computer Vision and Pattern Recognition · 2019–2025

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 Taranjeet Singh trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Taranjeet Singh's perspective

Ordered by how strongly the researchers Taranjeet Singh 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. Microsoft COCO: Common Objects in Context
  4. GENERATIVE ADVERSARIAL NETS
  5. Fully convolutional networks for semantic segmentation
  6. Mask R-CNN
  7. VQA: Visual Question Answering
  8. The Arcade Learning Environment: An Evaluation Platform for General Agents
  9. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
  10. You Only Look Once: Unified, Real-Time Object Detection

Their papers