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Ya Li

5 papers hereh-index 231.4k citations86 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Ya Li — 15 papers
  • Ya Li — 9 papers
  • Ya Li — 4 papers, h 3
  • Ya Li — 3 papers
  • Ya Li — 3 papers
  • Ya Li — 3 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

activity
20162019
most citedExpression Analysis Based on Face Regions in Read-world Conditions

64 citations · 104 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2019★ 64 cited

Expression Analysis Based on Face Regions in Read-world Conditions

Zheng Lian, Ya Li, Jian-Hua Tao +2

Facial emotion recognition is an essential and important aspect of the field of human-machine interaction. Past research on facial emotion recognition focuses on the laboratory env…

cs.CV2019★ 40 cited

Speech Emotion Recognition via Contrastive Loss under Siamese Networks

Zheng Lian, Ya Li, Jianhua Tao +1

Speech emotion recognition is an important aspect of human-computer interaction. Prior work proposes various end-to-end models to improve the classification performance. However, m…

cs.CV2018

Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition

Zheng Lian, Ya Li, Jianhua Tao +1

Automatic emotion recognition is a challenging task. In this paper, we present our effort for the audio-video based sub-challenge of the Emotion Recognition in the Wild (EmotiW) 20…

cs.CV2016

Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention

Linlin Chao, Jianhua Tao, Minghao Yang +2

This paper focuses on two key problems for audio-visual emotion recognition in the video. One is the audio and visual streams temporal alignment for feature level fusion. The other…

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