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Yebin Liu

41 papers hereh-index 6011.4k citations185 works total

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

author position
  • middle author10
  • last author26

Across the 36 of 41 papers where every author was matched, so the position is known.

fields
  • cs.CV38
  • cs.GR1
  • cs.MM1
  • eess.IV1
same name
  • Yebin Liu — 23 papers, h 13
  • Yebin Liu — 20 papers, h 10
  • Yebin Liu — 9 papers
  • Yebin Liu — 7 papers, h 6
  • Yebin Liu — 7 papers, h 3
  • Yebin Liu — 6 papers, h 4

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
20182023
most citedLight Field Reconstruction Using Convolutional Network on EPI and Extended Applications

165 citations · 355 across the 26 of their papers we have counts for

collaborators
Showing 2019 · cs.CVShow all

4 papers · 2 filters

cs.CV2019

Learning to Reconstruct and Understand Indoor Scenes from Sparse Views

Jingyu Yang, Ji Xu, Kun Li +5

This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes. Unlike existing methods that require recording a video using a color…

cs.CV2019★ 20 cited

DeepHuman: 3D Human Reconstruction from a Single Image

Zerong Zheng, Tao Yu, Yixuan Wei +2

We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D human reconstruction from a single RGB image. To reduce the ambiguities associated with the surface ge…

cs.CV2019★ 9 cited

SimulCap : Single-View Human Performance Capture with Cloth Simulation

Tao Yu, Zerong Zheng, Yuan Zhong +4

This paper proposes a new method for live free-viewpoint human performance capture with dynamic details (e.g., cloth wrinkles) using a single RGBD camera. Our main contributions ar…

cs.CV2019★ 6 cited

LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction

Gaochang Wu, Yebin Liu, Lu Fang +1

For dense sampled light field (LF) reconstruction problem, existing approaches focus on a depth-free framework to achieve non-Lambertian performance. However, they trap in the trad…

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