◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yibo Hu

19 papers hereh-index 221.7k citations42 works total

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

author position
  • first author2
  • middle author17

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

fields
  • cs.CV19
same name
  • Yibo Hu — 16 papers, h 9
  • Yibo Hu — 12 papers, h 2
  • Yibo Hu — 1 paper, h 2
  • Yibo Hu — 1 paper, h 4
  • Yibo Hu — 1 paper, h 4
  • Yibo Hu — 1 paper, h 2

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
20172023
most citedLearning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization

55 citations · 181 across the 19 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 7 cited

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

Peipei Li, Xiang Wu, Yibo Hu +2

Facial images in surveillance or mobile scenarios often have large view-point variations in terms of pitch and yaw angles. These jointly occurred angle variations make face recogni…

cs.CV2019★ 3 cited

UVA: A Universal Variational Framework for Continuous Age Analysis

Peipei Li, Huaibo Huang, Yibo Hu +3

Conventional methods for facial age analysis tend to utilize accurate age labels in a supervised way. However, existing age datasets lies in a limited range of ages, leading to a l…

cs.CV2019★ 9 cited

High Fidelity Face Manipulation with Extreme Poses and Expressions

Chaoyou Fu, Yibo Hu, Xiang Wu +3

Face manipulation has shown remarkable advances with the flourish of Generative Adversarial Networks. However, due to the difficulties of controlling structures and textures, it is…

cs.CV2019★ 8 cited

Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

Chaoyou Fu, Xiang Wu, Yibo Hu +2

Heterogeneous Face Recognition (HFR) is a challenging issue because of the large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a dual generation…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.