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researcher

Cong Wang

8 papers hereh-index 11520 citations24 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • eess.IV1
same name
  • Cong Wang — 107 papers, h 5
  • Cong Wang — 22 papers, h 6
  • Cong Wang — 20 papers, h 11
  • Cong Wang — 18 papers, h 29
  • Cong Wang — 15 papers, h 4
  • Cong Wang — 11 papers, h 10

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
20202023
most citedJoint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

7 citations · 19 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 5 cited

Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration

Liyan Wang, Qinyu Yang, Cong Wang +3

Recent years have witnessed the remarkable performance of diffusion models in various vision tasks. However, for image restoration that aims to recover clear images with sharper de…

cs.CV2023★ 1 cited

Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval

Yanru Xiao, Cong Wang, Xing Gao

The vulnerability in the algorithm supply chain of deep learning has imposed new challenges to image retrieval systems in the downstream. Among a variety of techniques, deep hashin…

cs.CV2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Jun Yu, Shenshen Du, Guochen Xie +4

Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation is a fundamental task in remote sensing that can enrich the dataset by fusing information from different so…

cs.CV2023★ 2 cited

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency

Cong Wang, Jinshan Pan, Wanyu Lin +2

This work presents an effective depth-consistency self-prompt Transformer for image dehazing. It is motivated by an observation that the estimated depths of an image with haze resi…

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