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Bo Ren

8 papers here

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

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CL1
ORCID 0000-0002-0580-6631
same name
  • Bo Ren — 9 papers, h 15
  • Bo Ren — 8 papers, h 2
  • Bo Ren — 5 papers, h 13
  • Bo Ren — 2 papers, h 6
  • Bo Ren — 1 paper
  • Bo Ren — 1 paper

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

most citedVLMAE: Vision-Language Masked Autoencoder

9 citations · 18 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 9 cited

See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval

Xiujun Shu, Wei Wen, Haoqian Wu +5

Text-based person retrieval aims to find the query person based on a textual description. The key is to learn a common latent space mapping between visual-textual modalities. To ac…

cs.CV2022

TaCo: Textual Attribute Recognition via Contrastive Learning

Chang Nie, Yiqing Hu, Yanqiu Qu +3

As textual attributes like font are core design elements of document format and page style, automatic attributes recognition favor comprehensive practical applications. Existing ap…

cs.CV2022★ 9 cited

VLMAE: Vision-Language Masked Autoencoder

Sunan He, Taian Guo, Tao Dai +4

Image and language modeling is of crucial importance for vision-language pre-training (VLP), which aims to learn multi-modal representations from large-scale paired image-text data…

cs.CV2022

OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification

Ye Liu, Lingfeng Qiao, Di Yin +4

Scene segmentation and classification (SSC) serve as a critical step towards the field of video structuring analysis. Intuitively, jointly learning of these two tasks can promote e…

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