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Heng Yang

9 papers hereh-index 16967 citations31 works total

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

author position
  • first author5
  • middle author3

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Heng Yang — 15 papers, h 22
  • Heng Yang — 14 papers
  • Heng Yang — 12 papers, h 4
  • Heng Yang — 11 papers
  • Heng Yang — 10 papers, h 4
  • Heng Yang — 8 papers, h 3

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
20142023
most citedFacial Feature Point Detection: A Comprehensive Survey

48 citations · 172 across the 9 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CV2015★ 31 cited

An Empirical Study of Recent Face Alignment Methods

Heng Yang, Xuhui Jia, Chen Change Loy +1

The problem of face alignment has been intensively studied in the past years. A large number of novel methods have been proposed and reported very good performance on benchmark dat…

cs.CV2015★ 4 cited

Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features

Heng Yang, Renqiao Zhang, Peter Robinson

In this paper we present a method for localisation of facial landmarks on human and sheep. We introduce a new feature extraction scheme called triplet-interpolated feature used at…

cs.CV2015★ 18 cited

Face Alignment Assisted by Head Pose Estimation

Heng Yang, Wenxuan Mou, Yichi Zhang +3

In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation. We first investigate the failure cases of most state…

cs.CV2015★ 17 cited

Mirror, mirror on the wall, tell me, is the error small?

Heng Yang, Ioannis Patras

Do object part localization methods produce bilaterally symmetric results on mirror images? Surprisingly not, even though state of the art methods augment the training set with mir…

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