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Zheng-Jun Zha

10 papers hereh-index 10234 citations14 works total

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

author position
  • middle author1
  • last author8

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • eess.IV1
same name
  • Zheng-Jun Zha — 9 papers, h 10
  • Zheng-Jun Zha — 8 papers, h 9
  • Zheng-Jun Zha — 7 papers, h 6
  • Zheng-Jun Zha — 1 paper
  • Zheng-Jun Zha — 1 paper, h 1

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
20242026
most citedEvent-Based Eye Tracking. 2025 Event-based Vision Workshop

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

eess.IV2024

Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution

Long Peng, Wenbo Li, Jiaming Guo +7

Real-world image super-resolution (Real SR) aims to generate high-fidelity, detail-rich high-resolution (HR) images from low-resolution (LR) counterparts. Existing Real SR methods…

cs.CV2024

S3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Peizhe Xia, Long Peng, Xin Di +4

Arbitrary scale super-resolution (ASSR) aims to super-resolve low-resolution images to high-resolution images at any scale using a single model, addressing the limitations of tradi…

cs.CV2024

QMambaBSR: Burst Image Super-Resolution with Query State Space Model

Xin Di, Long Peng, Peizhe Xia +5

Burst super-resolution aims to reconstruct high-resolution images with higher quality and richer details by fusing the sub-pixel information from multiple burst low-resolution fram…

cs.CV2024

FC3DNet: A Fully Connected Encoder-Decoder for Efficient Demoir'eing

Zhibo Du, Long Peng, Yang Wang +2

Moiré patterns are commonly seen when taking photos of screens. Camera devices usually have limited hardware performance but take high-resolution photos. However, users are sensiti…

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