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Rui Zhao

9 papers hereh-index 15883 citations46 works total

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

author position
  • first author6
  • middle author1
  • last author2

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

fields
  • cs.CV6
  • eess.IV2
  • cs.MM1
same name
  • Rui Zhao — 32 papers, h 35
  • Rui Zhao — 26 papers, h 18
  • Rui Zhao — 21 papers, h 12
  • Rui Zhao — 18 papers, h 18
  • Rui Zhao — 14 papers, h 12
  • Rui Zhao — 13 papers, h 8

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
20152023
most citedEvaluating Two-Stream CNN for Video Classification

114 citations · 228 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.IV2020

Enhancing and Learning Denoiser without Clean Reference

Rui Zhao, Daniel P. K. Lun, Kin-Man Lam

Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks. Most of these deep denoisers are trained either under the sup…

cs.CV2020★ 3 cited

Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing

Rui Zhao, Tianshan Liu, Jun Xiao +2

Multi-task learning is an effective learning strategy for deep-learning-based facial expression recognition tasks. However, most existing methods take into limited consideration th…

eess.IV2020★ 7 cited

Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis

Rui Zhao, Kin-Man Lam, Daniel P. K. Lun

Convolutional neural network (CNN)-based image denoising methods have been widely studied recently, because of their high-speed processing capability and good visual quality. Howev…

cs.MM2020★ 1 cited

Stacked Convolutional Deep Encoding Network for Video-Text Retrieval

Rui Zhao, Kecheng Zheng, Zheng-jun Zha

Existing dominant approaches for cross-modal video-text retrieval task are to learn a joint embedding space to measure the cross-modal similarity. However, these methods rarely exp…

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