◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Shengyong Chen

4 papers hereh-index 161.1k citations40 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Shengyong Chen — 9 papers, h 34
  • Shengyong Chen — 7 papers, h 16
  • Shengyong Chen — 4 papers, h 11
  • Shengyong Chen — 2 papers
  • Shengyong Chen — 2 papers, h 24
  • Shengyong Chen — 2 papers, h 9

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
20202024
most citedPriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval

Jiancheng Pan, Muyuan Ma, Qing Ma +2

Remote sensing image-text retrieval plays a crucial role in remote sensing interpretation, yet remains challenging under both closed-domain and open-domain scenarios due to semanti…

cs.CV2022★ 1 cited

Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal

Yuan Feng, Yaojun Hu, Pengfei Fang +3

This work studies the joint rain and haze removal problem. In real-life scenarios, rain and haze, two often co-occurring common weather phenomena, can greatly degrade the clarity a…

cs.CV2021

A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval

Zan Gao, Yuxiang Shao, Weili Guan +3

Recently, many view-based 3D model retrieval methods have been proposed and have achieved state-of-the-art performance. Most of these methods focus on extracting more discriminativ…

cs.CV2020

Improving auto-encoder novelty detection using channel attention and entropy minimization

Miao Tian, Dongyan Guo, Ying Cui +2

Novelty detection is a important research area which mainly solves the classification problem of inliers which usually consists of normal samples and outliers composed of abnormal…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.