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Depeng Dang

4 papers here

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

author position
  • last author4

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

fields
  • cs.CV4
ORCID 0000-0001-7923-9329

identity via Semantic Scholar / OpenAlex

most citedLearning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring

Hu Gao, Depeng Dang

Image deblurring aims to reconstruct a latent sharp image from its corresponding blurred one. Although existing methods have achieved good performance, most of them operate exclusi…

cs.CV2024

Exploring Richer and More Accurate Information via Frequency Selection for Image Restoration

Hu Gao, Depeng Dang

Image restoration aims to recover high-quality images from their corrupted counterparts. Many existing methods primarily focus on the spatial domain, neglecting the understanding o…

cs.CV2024

Learning Accurate and Enriched Features for Stereo Image Super-Resolution

Hu Gao, Depeng Dang

Stereo image super-resolution (stereoSR) aims to enhance the quality of super-resolution results by incorporating complementary information from an alternative view. Although curre…

cs.CV2024★ 1 cited

Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

Hu Gao, Depeng Dang

Image deblurring aims to restore a high-quality image from its corresponding blurred. The emergence of CNNs and Transformers has enabled significant progress. However, these method…

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