R. Kaczmarczyk

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom R. Kaczmarczyk trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Ilya Sutskever
  4. Li Fei-Fei
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Shaoqing Ren
  8. Jitendra Malik
  9. Geoffrey E. Hinton
  10. Karen Simonyan

Who trusts R. Kaczmarczyk overall

  1. Junnan Li

Papers from R. Kaczmarczyk's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Microsoft COCO: Common Objects in Context
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  8. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  9. Zero-Shot Text-to-Image Generation
  10. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Their papers