S. V. Arts

2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom S. V. Arts trusts overall

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

  1. John F. Canny
  2. Wenshuo Gao
  3. Xiaoguang Zhang
  4. Lei Yang

Papers from S. V. Arts's perspective

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

  1. EDGE DETECTION TECHNIQUES FOR IMAGE SEGMENTATION
  2. A Computational Approach to Edge Detection
  3. An improved Sobel edge detection (International Conference on Computer Science and Information Technologies)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Layer Normalization
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers