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Zhenyu Wu

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV2
  • cs.CL1
  • cs.CR1
ORCID 0000-0002-7183-6943
same name
  • Zhenyu Wu — 21 papers, h 21
  • Zhenyu Wu — 7 papers
  • Zhenyu Wu — 5 papers
  • Zhenyu Wu — 2 papers
  • Zhenyu Wu — 1 paper, h 2
  • Zhenyu Wu — 1 paper

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 citedSelf-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

23 citations · 41 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2020★ 11 cited

PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning

Yuli Zheng, Zhenyu Wu, Ye Yuan +2

Credit risk modeling has permeated our everyday life. Most banks and financial companies use this technique to model their clients' trustworthiness. While machine learning is incre…

cs.CV2020★ 7 cited

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis

Zhenyu Wu, Duc Hoang, Shih-Yao Lin +5

Estimating the 3D hand pose from a monocular RGB image is important but challenging. A solution is training on large-scale RGB hand images with accurate 3D hand keypoint annotation…

cs.CV2020★ 23 cited

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

Jianrong Wang, Ge Zhang, Zhenyu Wu +2

In self-supervised monocular depth estimation, the depth discontinuity and motion objects' artifacts are still challenging problems. Existing self-supervised methods usually utiliz…

cs.CL2019

A neural document language modeling framework for spoken document retrieval

Li-Phen Yen, Zhen-Yu Wu, Kuan-Yu Chen

Recent developments in deep learning have led to a significant innovation in various classic and practical subjects, including speech recognition, computer vision, question answeri…

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