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20212024
most citedTreeBERT: A Tree-Based Pre-Trained Model for Programming Language

20 citations · 61 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.CV2024

Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning

Tianhang Pan, Xiuyi Jia

Currently, most crowd counting methods have outstanding performance under normal weather conditions. However, our experimental validation reveals two key obstacles limiting the acc…

cs.CV2024★ 15 cited

U-shaped Vision Mamba for Single Image Dehazing

Zhuoran Zheng, Chen Wu

Currently, Transformer is the most popular architecture for image dehazing, but due to its large computational complexity, its ability to handle long-range dependency is limited on…

cs.CV2024

Polyp-DAM: Polyp segmentation via depth anything model

Zhuoran Zheng, Chen Wu, Wei Wang +2

Recently, large models (Segment Anything model) came on the scene to provide a new baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient imag…

cs.CV2024★ 1 cited

MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

Chen Wu, Zhuoran Zheng, Yuning Cui +1

Recent advancements in image restoration methods employing global modeling have shown promising results. However, these approaches often incur substantial memory requirements, part…

cs.CV2023★ 4 cited

Complex Mixer for MedMNIST Classification Decathlon

Zhuoran Zheng, Xiuyi Jia

With the development of the medical image field, researchers seek to develop a class of datasets to block the need for medical knowledge, such as \text{MedMNIST} (v2). MedMNIST (v2…

cs.CV2023★ 2 cited

4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free Images

Zhuoran Zheng, Xiuyi Jia

Currently, mobile and IoT devices are in dire need of a series of methods to enhance 4K images with limited resource expenditure. The absence of large-scale 4K benchmark datasets h…

cs.CV2022★ 13 cited

DPFNet: A Dual-branch Dilated Network with Phase-aware Fourier Convolution for Low-light Image Enhancement

Yunliang Zhuang, Zhuoran Zheng, Chen Lyu

Low-light image enhancement is a classical computer vision problem aiming to recover normal-exposure images from low-light images. However, convolutional neural networks commonly u…

cs.CV2022

Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixer

Xingchi Chen, Xiuyi Jia, Zhuoran Zheng

Currently, transformer-based algorithms are making a splash in the domain of image deblurring. Their achievement depends on the self-attention mechanism with CNN stem to model long…

cs.CV2022

Single UHD Image Dehazing via Interpretable Pyramid Network

Boxue Xiao, Zhuoran Zheng, Xiang Chen +3

Currently, most single image dehazing models cannot run an ultra-high-resolution (UHD) image with a single GPU shader in real-time. To address the problem, we introduce the princip…

cs.CV2022★ 1 cited

Zero-Reference Image Restoration for Under-Display Camera of UAV

Zhuoran Zheng, Xiuyi Jia, Yunliang Zhuang

The exposed cameras of UAV can shake, shift, or even malfunction under the influence of harsh weather, while the add-on devices (Dupont lines) are very vulnerable to damage. We can…