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researcher

Feng Wu

25 papers hereh-index 5310.3k citations227 works total

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

author position
  • middle author6
  • last author18

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.MM7
  • eess.IV4
  • cs.AR1
  • cs.LG1
  • cs.NI1
same name
  • Feng Wu — 37 papers, h 63
  • Feng Wu — 22 papers, h 13
  • Feng Wu — 18 papers, h 14
  • Feng Wu — 14 papers, h 22
  • Feng Wu — 12 papers, h 7
  • Feng Wu — 9 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
20152021
most citedA Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding

341 citations · 1.9k across the 24 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2021★ 1 cited

End-to-End Image Compression with Probabilistic Decoding

Haichuan Ma, Dong Liu, Cunhui Dong +2

Lossy image compression is a many-to-one process, thus one bitstream corresponds to multiple possible original images, especially at low bit rates. However, this nature was seldom…

eess.IV2020★ 216 cited

M-LVC: Multiple Frames Prediction for Learned Video Compression

Jianping Lin, Dong Liu, Houqiang Li +1

We propose an end-to-end learned video compression scheme for low-latency scenarios. Previous methods are limited in using the previous one frame as reference. Our method introduce…

eess.IV2020

Camera Trace Erasing

Chang Chen, Zhiwei Xiong, Xiaoming Liu +1

Camera trace is a unique noise produced in digital imaging process. Most existing forensic methods analyze camera trace to identify image origins. In this paper, we address a new l…

eess.IV2019★ 16 cited

Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement

Yang Wang, Yang Cao, Zheng-Jun Zha +4

Contrast enhancement and noise removal are coupled problems for low-light image enhancement. The existing Retinex based methods do not take the coupling relation into consideration…

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