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Wenqi Ren

14 papers hereh-index 151.7k citations32 works total

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

author position
  • middle author13

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV14
same name
  • Wenqi Ren — 37 papers, h 55
  • Wenqi Ren — 8 papers, h 1
  • Wenqi Ren — 7 papers, h 4
  • Wenqi Ren — 6 papers, h 13
  • Wenqi Ren — 5 papers, h 3
  • Wenqi Ren — 3 papers, h 4

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 citedUncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network

15 citations · 30 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Ultra-High-Definition Restoration Transformers with Correlation Matching Transformation

Cong Wang, Liyan Wang, Jinshan Pan +4

We propose UHDformer++, a general Transformer-based framework to solve numerous Ultra-High-Definition (UHD) image restoration tasks. UHDformer++ operates across 4 coordinated lea…

cs.CV2026

Timestep Rescheduling in Diffusion Inversion

Shangquan Sun, Ting Gong, Zhirui Liu +5

Diffusion inversion, which maps images back to the Gaussian latent space of a diffusion model, is a critical task for image reconstruction and editing. While DDIM enables fast dete…

cs.CV2026

Learning Spatially Adaptive Structural Coordination for Underwater Salient Object Detection

Lin Hong, Chenhui Wang, Linan Deng +6

Underwater salient object detection (USOD) has attracted increasing attention for underwater scene understanding and vision-guided robotic applications. However, the spatially non-…

cs.CV2026

CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild

Siyuan Yao, Hao Sun, Ruiqi Yu +3

Discovering camouflaged objects is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. While the problem of camoufl…

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