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Ruigang Yang

4 papers here

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

author position
  • last author4

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

fields
  • cs.CV4
ORCID 0000-0001-5296-6307
same name
  • Ruigang Yang — 56 papers, h 66
  • Ruigang Yang — 11 papers, h 9
  • Ruigang Yang — 6 papers, h 0
  • Ruigang Yang — 1 paper, h 1
  • Ruigang Yang — 1 paper, h 2
  • Ruigang Yang — 1 paper, h 5

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
20182026
most citedSalient Object Detection in the Deep Learning Era: An In-Depth Survey

86 citations · 95 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

GeoV2V: Geometry-Grounded Video Diffusion Model for Driving Scene Generation

Yuchen Xi, Yuhan Guo, Chenwei Hou +4

Novel view synthesis under trajectory changes is essential for autonomous driving simulation, yet existing methods struggle to generate consistent videos when extrapolating to unse…

cs.CV2020★ 5 cited

Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses

Miao Liao, Sibo Zhang, Peng Wang +3

In this paper, we propose a novel approach to convert given speech audio to a photo-realistic speaking video of a specific person, where the output video has synchronized, realisti…

cs.CV2019★ 86 cited

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Wenguan Wang, Qiuxia Lai, Huazhu Fu +3

As an essential problem in computer vision, salient object detection (SOD) has attracted an increasing amount of research attention over the years. Recent advances in SOD are predo…

cs.CV2018★ 4 cited

Part-level Car Parsing and Reconstruction from Single Street View

Qichuan Geng, Hong Zhang, Xinyu Huang +5

Part information has been shown to be resistant to occlusions and viewpoint changes, which is beneficial for various vision-related tasks. However, we found very limited work in ca…

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