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Chen Qian

4 papers hereh-index 5161 citations5 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV2
  • cs.GR1
  • eess.SP1
same name
  • Chen Qian — 60 papers, h 42
  • Chen Qian — 24 papers, h 8
  • Chen Qian — 19 papers, h 5
  • Chen Qian — 13 papers, h 7
  • Chen Qian — 9 papers, h 2
  • Chen Qian — 8 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 citedIterative Poisson Surface Reconstruction (iPSR) for Unoriented Points

83 citations · 106 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings

Baixin Xu, Jiarui Zhang, Kwan-Yee Lin +2

Reconstructing 3D human heads in low-view settings presents technical challenges, mainly due to the pronounced risk of overfitting with limited views and high-frequency signals. To…

cs.GR2022★ 83 cited

Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points

Fei Hou, Chiyu Wang, Wencheng Wang +3

Poisson surface reconstruction (PSR) remains a popular technique for reconstructing watertight surfaces from 3D point samples thanks to its efficiency, simplicity, and robustness.…

eess.SP2022★ 17 cited

Noise-Adaptive Intelligent Programmable Meta-Imager

Chenqi Qian, Philipp del Hougne

We present an intelligent programmable computational meta-imager that tailors its sequence of coherent scene illuminations not only to a specific information-extraction task (e.g.,…

cs.CV2022★ 5 cited

Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation

Zhonghua Wu, Yicheng Wu, Guosheng Lin +2

Weakly supervised point cloud segmentation, i.e. semantically segmenting a point cloud with only a few labeled points in the whole 3D scene, is highly desirable due to the heavy bu…

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