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20212025
most citedRobust Causal Graph Representation Learning against Confounding Effects

4 citations · 12 across the 21 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023★ 1 cited

UIEDP:Underwater Image Enhancement with Diffusion Prior

Dazhao Du, Enhan Li, Lingyu Si +3

Underwater image enhancement (UIE) aims to generate clear images from low-quality underwater images. Due to the unavailability of clear reference images, researchers often synthesi…

cs.CV2023★ 1 cited

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification

Meijuan Su, Feihong He, Fanzhang Li

Few-shot image classification has received considerable attention for overcoming the challenge of limited classification performance with limited samples in novel classes. Most exi…

cs.CV2023

Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models

Feihong He, Gang Li, Lingyu Si +4

Image cartoonization has attracted significant interest in the field of image generation. However, most of the existing image cartoonization techniques require re-training models u…

cs.CV2023

Background Debiased SAR Target Recognition via Causal Interventional Regularizer

Hongwei Dong, Fangzhou Han, Lingyu Si +2

Recent studies have utilized deep learning (DL) techniques to automatically extract features from synthetic aperture radar (SAR) images, which shows great promise for enhancing the…

cs.CV2023

A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning

Lingyu Si, Hongwei Dong, Wenwen Qiang +5

Due to limitations in data quality, some essential visual tasks are difficult to perform independently. Introducing previously unavailable information to transfer informative dark…