Anush Krishnan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Anush Krishnan trusts overall

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

  1. Kaiming He

Who trusts Anush Krishnan overall

  1. Philipp Krahenbuhl
  2. Xingyi Zhou

Papers from Anush Krishnan's perspective

Ordered by how strongly the researchers Anush Krishnan 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. ImageNet: A large-scale hierarchical image database
  4. Histograms of oriented gradients for human detection
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. The Cityscapes Dataset for Semantic Urban Scene Understanding
  8. SSD: Single Shot MultiBox Detector
  9. Are we ready for autonomous driving? The KITTI vision benchmark suite
  10. Gradient-based learning applied to document recognition

Their papers