Y. Kalma

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Kalma trusts overall

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

  1. Rupali Patwardhan

Papers from Y. Kalma's perspective

Ordered by how strongly the researchers Y. Kalma 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. Fully convolutional networks for semantic segmentation
  3. Rethinking the Inception Architecture for Computer Vision
  4. Aggregated Residual Transformations for Deep Neural Networks
  5. Instance-Aware Semantic Segmentation via Multi-task Network Cascades
  6. Mask R-CNN
  7. High-resolution analysis of DNA regulatory elements by synthetic saturation mutagenesis
  8. Deep Learning
  9. Massively parallel functional dissection of mammalian enhancers in vivo
  10. Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence (Proceedings of the National Academy of Sciences of the United States of America)

Their papers