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Cho-Ying Wu

19 papers hereh-index 8618 citations25 works total

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

author position
  • first author16
  • middle author3

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • eess.IV2
  • cs.GR1
  • cs.LG1
same name
  • Cho-Ying Wu — 2 papers, h 2
  • Cho-Ying Wu — 1 paper, h 0

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 citedDeep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

24 citations · 47 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Toward Practical Monocular Indoor Depth Estimation

Cho-Ying Wu, Jialiang Wang, Michael Hall +2

The majority of prior monocular depth estimation methods without groundtruth depth guidance focus on driving scenarios. We show that such methods generalize poorly to unseen comple…

cs.CV2021★ 1 cited

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann

This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D facial landmarks to predict complete 3D facial geometry, including 3D alignment, face orienta…

cs.GR2021★ 2 cited

Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices

Cho-Ying Wu, Ke Xu, Chin-Cheng Hsu +1

This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers. Previous works for cross-modal face synthesis study image gene…

cs.CV2021

Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network

Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann

This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi…

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