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Wenbo Li

1 paper here

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

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CV1
ORCID 0000-0002-3122-5400
same name
  • Wenbo Li — 7 papers, h 7
  • Wenbo Li — 6 papers
  • Wenbo Li — 5 papers, h 18
  • Wenbo Li — 5 papers
  • Wenbo Li — 4 papers, h 14
  • Wenbo Li — 4 papers

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 citedPOI: Multiple Object Tracking with High Performance Detection and Appearance Feature

4 citations · 4 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2024

ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance

Shuwei Shi, Wenbo Li, Yuechen Zhang +3

Diffusion models excel at producing high-quality images; however, scaling to higher resolutions, such as 4K, often results in over-smoothed content, structural distortions, and rep…

quant-ph2023★ 4 cited

Public verifiable measurement-only blind quantum computation based on entanglement witnesses

Wen-Jie Liu, Zi-Xian Li, Wen-Bo Li +1

Recently, Sato et al. proposed an public verifiable blind quantum computation (BQC) protocol by inserting a third-party arbiter. However, it is not true public verifiable in a sens…

cs.CV2023★ 14 cited

Video-P2P: Video Editing with Cross-attention Control

Shaoteng Liu, Yuechen Zhang, Wenbo Li +2

This paper presents Video-P2P, a novel framework for real-world video editing with cross-attention control. While attention control has proven effective for image editing with pre-…

cs.CV2016★ 4 cited

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

Fengwei Yu, Wenbo Li, Quanquan Li +3

Detection and learning based appearance feature play the central role in data association based multiple object tracking (MOT), but most recent MOT works usually ignore them and on…

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