Shih-Fu Chang

Computer Vision and Pattern Recognition · with Zhang · 2023

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shih-Fu Chang trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (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. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Shih-Fu Chang's perspective

Ordered by how strongly the researchers Shih-Fu Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Microsoft COCO: Common Objects in Context
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Mask R-CNN
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ReferItGame: Referring to Objects in Photographs of Natural Scenes
  10. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Their papers