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Dongwei Ren

Harbin Institute of Technology

31 papers hereh-index 269.7k citations73 works total

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

author position
  • first author4
  • middle author21
  • last author3

Across the 28 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV29
  • eess.IV2
affiliations
  • Harbin Institute of Technology
Homepage
same name
  • Dongwei Ren — 3 papers, h 1
  • Dongwei Ren — 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
20182025
most citedDistance-IoU Loss: Faster and Better Learning for Bounding Box Regression

961 citations · 1.5k across the 30 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

BasicAVSR: Arbitrary-Scale Video Super-Resolution via Image Priors and Enhanced Motion Compensation

Wei Shang, Wanying Zhang, Shuhang Gu +3

Arbitrary-scale video super-resolution (AVSR) aims to enhance the resolution of video frames, potentially at various scaling factors, which presents several challenges regarding sp…

cs.CV2025

Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring

Wei Shang, Dongwei Ren, Wanying Zhang +3

Local motion blur in digital images originates from the relative motion between dynamic objects and static imaging systems during exposure. Existing deblurring methods face signifi…

cs.CV2025

High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution

Wei Shang, Dongwei Ren, Wanying Zhang +3

The primary challenge in accelerating image super-resolution lies in reducing computation while maintaining performance and adaptability. Motivated by the observation that high-fre…

eess.IV2025

Efficient RAW Image Deblurring with Adaptive Frequency Modulation

Wenlong Jiao, Binglong Li, Wei Shang +2

Image deblurring plays a crucial role in enhancing visual clarity across various applications. Although most deep learning approaches primarily focus on sRGB images, which inherent…

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