Hongfa Wang

Computer Vision and Pattern Recognition · with Cai · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongfa Wang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Josef Sivic (in Computer Vision and Pattern Recognition)

Papers from Hongfa Wang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Representation Learning with Contrastive Predictive Coding
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
  5. VideoBERT: A Joint Model for Video and Language Representation Learning
  6. Dense-Captioning Events in Videos
  7. ActivityNet: A large-scale video benchmark for human activity understanding
  8. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
  9. SlowFast Networks for Video Recognition
  10. End-to-End Learning of Visual Representations From Uncurated Instructional Videos

Their papers