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researcher

Jing Lin

5 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 author1
  • middle author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
same name
  • Jing Lin — 9 papers, h 4
  • Jing Lin — 6 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 28

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
20222025
most citedFlow-Guided Sparse Transformer for Video Deblurring

22 citations · 26 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior

Junzhe Lu, Jing Lin, Hongkun Dou +8

We present DPoser-X, a diffusion-based prior model for 3D whole-body human poses. Building a versatile and robust full-body human pose prior remains challenging due to the inherent…

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.CV2022★ 4 cited

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Yuanhao Cai, Jing Lin, Zudi Lin +5

Existing leading methods for spectral reconstruction (SR) focus on designing deeper or wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB image…

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