Adarsh Nagaraja

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adarsh Nagaraja trusts

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

  1. Mubarak Shah (in Computer Vision and Pattern Recognition)
  2. Michael J. Black (in Computer Vision and Pattern Recognition)

Papers from Adarsh Nagaraja's perspective

Ordered by how strongly the researchers Adarsh Nagaraja trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Fast approximate energy minimization via graph cuts
  5. Cascade object detection with deformable part models
  6. Long Short-Term Memory
  7. Robust Real-time Object Detection
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers