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Yifan Wang

4 papers hereh-index 3262 citations6 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • Yifan Wang — 26 papers, h 16
  • Yifan Wang — 15 papers, h 15
  • Yifan Wang — 14 papers, h 19
  • Yifan Wang — 13 papers
  • Yifan Wang — 13 papers, h 3
  • Yifan Wang — 13 papers, h 7

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 citedEfficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

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

collaborators

4 papers

cs.CV2025

Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation

Yongzhen Hu, Yihui Yang, Haotong Lin +8

This paper addresses the problem of decomposed 4D scene reconstruction from multi-view videos. Recent methods achieve this by lifting video segmentation results to a 4D representat…

cs.CV2025★ 1 cited

Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Zhen Xu, Hongyu Zhou, Sida Peng +13

Depth estimation is a fundamental task in 3D computer vision, crucial for applications such as 3D reconstruction, free-viewpoint rendering, robotics, autonomous driving, and AR/VR…

cs.CV2025

FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction

Yifan Wang, Peishan Yang, Zhen Xu +6

This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Some recent works define 3D Gaussian primitives in the canonical space and use deformat…

cs.CV2024★ 3 cited

Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

Yifan Wang, Xingyi He, Sida Peng +2

We present a novel method for efficiently producing semi-dense matches across images. Previous detector-free matcher LoFTR has shown remarkable matching capability in handling larg…

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