Vivek Sarkar

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Vivek Sarkar trusts overall

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

  1. Kaiming He
  2. Joel S. Emer
  3. Shaoqing Ren
  4. X. Zhang
  5. Ross B. Girshick
  6. Yu-hsin Chen
  7. Andrew Zisserman
  8. Vivienne Sze
  9. Karen Simonyan

Who trusts Vivek Sarkar overall

  1. Cormac Flanagan
  2. Derek Bruening

Papers from Vivek Sarkar's perspective

Ordered by how strongly the researchers Vivek Sarkar 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  6. Aggregated Residual Transformations for Deep Neural Networks
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. Deep Visual-Semantic Alignments for Generating Image Descriptions
  9. Gradient-based learning applied to document recognition
  10. Learning Hierarchical Features for Scene Labeling

Their papers