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Xiaopeng Fan

12 papers hereh-index 272.5k citations185 works total

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

author position
  • middle author8
  • last author4

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.MM3
  • cs.AI1
  • cs.GR1
  • cs.IT1
  • eess.SP1
same name
  • Xiaopeng Fan — 19 papers, h 6
  • Xiaopeng Fan — 14 papers, h 4
  • Xiaopeng Fan — 11 papers, h 14
  • Xiaopeng Fan — 8 papers, h 4
  • Xiaopeng Fan — 6 papers, h 6
  • Xiaopeng Fan — 3 papers, h 5

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
20122023
most citedCOLA-Net: Collaborative Attention Network for Image Restoration

95 citations · 144 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 1 cited

Deep Joint Source-Channel Coding for Multi-Task Network

Mengyang Wang, Zhicong Zhang, Jiahui Li +2

Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not…

cs.MM2021★ 1 cited

Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding

Hengyu Man, Xiaopeng Fan, Ruiqin Xiong +1

As a crucial part of video compression, intra prediction utilizes local information of images to eliminate the redundancy in spatial domain. In both the High Efficiency Video Codin…

cs.CV2021★ 95 cited

COLA-Net: Collaborative Attention Network for Image Restoration

Chong Mou, Jian Zhang, Xiaopeng Fan +2

Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…

eess.SP2021

SNR-adaptive deep joint source-channel coding for wireless image transmission

Mingze Ding, Jiahui Li, Mengyao Ma +1

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding…

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