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Jingfen Xie

4 papers hereh-index 6559 citations9 works total

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Jingfen Xie — 1 paper

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
20212026
most citedCOAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

167 citations · 175 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

VQ-Jarvis: Retrieval-Augmented Video Restoration Agent with Sharp Vision and Fast Thought

Xuanyu Zhang, Weiqi Li, Qunliang Xing +6

Video restoration in real-world scenarios is challenged by heterogeneous degradations, where static architectures and fixed inference pipelines often fail to generalize. Recent age…

cs.CV2025

UARE: A Unified Vision-Language Model for Image Quality Assessment, Restoration, and Enhancement

Weiqi Li, Xuanyu Zhang, Bin Chen +7

Image quality assessment (IQA) and image restoration are fundamental problems in low-level vision. Although IQA and restoration are closely connected conceptually, most existing wo…

cs.CV2021★ 167 cited

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

Di You, Jian Zhang, Jingfen Xie +2

Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and…

cs.CV2021★ 8 cited

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

Di You, Jingfen Xie, Jian Zhang

While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene ima…

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