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Bo Fang

4 papers hereh-index 5302 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Bo Fang — 8 papers, h 4
  • Bo Fang — 4 papers, h 2
  • Bo Fang — 3 papers, h 12
  • Bo Fang — 3 papers, h 4
  • Bo Fang — 2 papers, h 2
  • Bo Fang — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedVideo 3D Sampling for Self-supervised Representation Learning

10 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 2 cited

UATVR: Uncertainty-Adaptive Text-Video Retrieval

Bo Fang, Wenhao Wu, Chang Liu +6

With the explosive growth of web videos and emerging large-scale vision-language pre-training models, e.g., CLIP, retrieving videos of interest with text instructions has attracted…

cs.CV2023★ 6 cited

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Wenhao Wu, Haipeng Luo, Bo Fang +2

Most existing text-video retrieval methods focus on cross-modal matching between the visual content of videos and textual query sentences. However, in real-world scenarios, online…

cs.CV2021★ 10 cited

Video 3D Sampling for Self-supervised Representation Learning

Wei Li, Dezhao Luo, Bo Fang +2

Most of the existing video self-supervised methods mainly leverage temporal signals of videos, ignoring that the semantics of moving objects and environmental information are all c…

cs.CV2020★ 3 cited

Exploring Relations in Untrimmed Videos for Self-Supervised Learning

Dezhao Luo, Bo Fang, Yu Zhou +3

Existing video self-supervised learning methods mainly rely on trimmed videos for model training. However, trimmed datasets are manually annotated from untrimmed videos. In this se…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.