◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jing Lin

12 papers hereh-index 122.4k citations16 works total

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

author position
  • first author3
  • middle author9

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

fields
  • cs.CV8
  • eess.IV4
same name
  • Jing Lin — 9 papers, h 4
  • Jing Lin — 7 papers, h 8
  • Jing Lin — 6 papers, h 2
  • Jing Lin — 5 papers, h 3
  • Jing Lin — 4 papers, h 4
  • Jing Lin — 2 papers, h 6

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
20212025
most citedDegradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

63 citations · 156 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

DPoser: Diffusion Model as Robust 3D Human Pose Prior

Junzhe Lu, Jing Lin, Hongkun Dou +4

This work targets to construct a robust human pose prior. However, it remains a persistent challenge due to biomechanical constraints and diverse human movements. Traditional prior…

cs.CV2023

BinaryHPE: 3D Human Pose and Shape Estimation via Binarization

Zhiteng Li, Yulun Zhang, Jing Lin +5

3D human pose and shape estimation (HPE) aims to reconstruct the 3D human body, face, and hands from a single image. Although powerful deep learning models have achieved accurate e…

cs.CV2023★ 9 cited

Binarized Spectral Compressive Imaging

Yuanhao Cai, Yuxin Zheng, Jing Lin +3

Existing deep learning models for hyperspectral image (HSI) reconstruction achieve good performance but require powerful hardwares with enormous memory and computational resources.…

cs.CV2023★ 19 cited

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

Yuanhao Cai, Hao Bian, Jing Lin +3

When enhancing low-light images, many deep learning algorithms are based on the Retinex theory. However, the Retinex model does not consider the corruptions hidden in the dark or i…

◍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.