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Chunwei Tian

7 papers hereh-index 12396 citations24 works total

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

author position
  • first author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV3
same name
  • Chunwei Tian — 10 papers, h 23
  • Chunwei Tian — 10 papers, h 4
  • Chunwei Tian — 1 paper, h 4
  • Chunwei Tian — 1 paper, h 2
  • Chunwei Tian — 1 paper, h 3

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

most citedAdaptive Convolutional Neural Network for Image Super-resolution

3 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Application of convolutional neural networks in image super-resolution

Chunwei Tian, Mingjian Song, Wangmeng Zuo +3

Due to strong learning abilities of convolutional neural networks (CNNs), they have become mainstream methods for image super-resolution. However, there are big differences of diff…

cs.CV2025

A Dynamic Transformer Network for Vehicle Detection

Chunwei Tian, Kai Liu, Bob Zhang +3

Stable consumer electronic systems can assist traffic better. Good traffic consumer electronic systems require collaborative work between traffic algorithms and hardware. However,…

cs.CV2024

A self-supervised CNN for image watermark removal

Chunwei Tian, Menghua Zheng, Tiancai Jiao +3

Popular convolutional neural networks mainly use paired images in a supervised way for image watermark removal. However, watermarked images do not have reference images in the real…

cs.CV2024

Perceptive self-supervised learning network for noisy image watermark removal

Chunwei Tian, Menghua Zheng, Bo Li +3

Popular methods usually use a degradation model in a supervised way to learn a watermark removal model. However, it is true that reference images are difficult to obtain in the rea…

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