Diana Marculescu

Computer Vision and Pattern Recognition · with Zhang · 2022

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Diana Marculescu trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Tsung-Yi Lin (in Computer Vision and Pattern Recognition)
  9. Serge J. Belongie (in Computer Vision and Pattern Recognition)
  10. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Diana Marculescu's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. Decoupled Weight Decay Regularization
  6. Microsoft COCO Captions: Data Collection and Evaluation Server
  7. Pyramid Scene Parsing Network
  8. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  9. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
  10. The Role of Context for Object Detection and Semantic Segmentation in the Wild

Their papers