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Sheng Jin

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
ORCID 0000-0002-9532-4272
same name
  • Sheng Jin — 7 papers
  • Sheng Jin — 4 papers
  • Sheng Jin — 4 papers
  • Sheng Jin — 4 papers
  • Sheng Jin — 3 papers
  • Sheng Jin — 2 papers, h 9

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
20212024
most citedAligning Bag of Regions for Open-Vocabulary Object Detection

3 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 3 cited

LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors

Sheng Jin, Xueying Jiang, Jiaxing Huang +2

Inspired by the outstanding zero-shot capability of vision language models (VLMs) in image classification tasks, open-vocabulary object detection has attracted increasing interest…

cs.CV2023★ 1 cited

Domain Generalization via Balancing Training Difficulty and Model Capability

Xueying Jiang, Jiaxing Huang, Sheng Jin +1

Domain generalization (DG) aims to learn domain-generalizable models from one or multiple source domains that can perform well in unseen target domains. Despite its recent progress…

cs.CV2023★ 3 cited

Aligning Bag of Regions for Open-Vocabulary Object Detection

Size Wu, Wenwei Zhang, Sheng Jin +2

Pre-trained vision-language models (VLMs) learn to align vision and language representations on large-scale datasets, where each image-text pair usually contains a bag of semantic…

cs.CV2021★ 1 cited

Temporal Action Proposal Generation with Background Constraint

Haosen Yang, Wenhao Wu, Lining Wang +4

Temporal action proposal generation (TAPG) is a challenging task that aims to locate action instances in untrimmed videos with temporal boundaries. To evaluate the confidence of pr…

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