Vitaly Ablavsky

Computer Vision and Pattern Recognition · 2000–2021

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vitaly Ablavsky 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)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Antonio Torralba (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. X. Zhang (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Alexei A. Efros (in Computer Vision and Pattern Recognition)

Papers from Vitaly Ablavsky's perspective

Ordered by how strongly the researchers Vitaly Ablavsky 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Microsoft COCO: Common Objects in Context
  4. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  5. ImageNet classification with deep convolutional neural networks
  6. Indoor Segmentation and Support Inference from RGBD Images
  7. The Cityscapes Dataset for Semantic Urban Scene Understanding
  8. Pyramid Scene Parsing Network
  9. Rethinking Atrous Convolution for Semantic Image Segmentation
  10. Gradient-based learning applied to document recognition

Their papers