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Huan Hu

16 papers hereh-index 590 citations24 works total

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

author position
  • first author1
  • middle author15

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.CL2
  • cs.HC1
  • cs.LG1
same name
  • Huan Hu — 3 papers, h 10
  • Huan Hu — 2 papers, h 2
  • Huan Hu — 1 paper, h 2
  • Huan Hu — 1 paper, h 2
  • Huan Hu — 1 paper, h 3
  • Huan Hu — 1 paper, h 1

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
20192026
most citedA Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis

18 citations · 34 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 4 cited

A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models

Zipeng Wang, Zhaoxiang Liu, Zezhou Chen +2

This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news. This task is also known as Virtual Anchor. Given some paragraphs o…

cs.CV2019★ 7 cited

Video synthesis of human upper body with realistic face

Zhaoxiang Liu, Huan Hu, Zipeng Wang +3

This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the b…

cs.CV2019★ 5 cited

A Realistic Face-to-Face Conversation System based on Deep Neural Networks

Zezhou Chen, Zhaoxiang Liu, Huan Hu +4

To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-to-sequence models respectively…

cs.CV2019

Feature Aggregation Network for Video Face Recognition

Zhaoxiang Liu, Huan Hu, Jinqiang Bai +2

This paper aims to learn a compact representation of a video for video face recognition task. We make the following contributions: first, we propose a meta attention-based aggregat…

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