20 citations · 61 across the 16 of their papers we have counts for
16 papers
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…
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…
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…
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…
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…
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…
TabMixer: Excavating Label Distribution Learning with Small-scale Features
Weiyi Cong, Zhuoran Zheng, Xiuyi Jia
Label distribution learning (LDL) differs from multi-label learning which aims at representing the polysemy of instances by transforming single-label values into descriptive degree…
Label distribution learning via label correlation grid
Qimeng Guo, Zhuoran Zheng, Xiuyi Jia +1
Label distribution learning can characterize the polysemy of an instance through label distributions. However, some noise and uncertainty may be introduced into the label space whe…
Label Distribution Learning via Implicit Distribution Representation
Zhuoran Zheng, Xiuyi Jia
In contrast to multi-label learning, label distribution learning characterizes the polysemy of examples by a label distribution to represent richer semantics. In the learning proce…
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…
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…
HELoC: Hierarchical Contrastive Learning of Source Code Representation
Xiao Wang, Qiong Wu, Hongyu Zhang +5
Abstract syntax trees (ASTs) play a crucial role in source code representation. However, due to the large number of nodes in an AST and the typically deep AST hierarchy, it is chal…
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning
Xiang Chen, Zhentao Fan, Pengpeng Li +5
We offer a practical unpaired learning based image dehazing network from an unpaired set of clear and hazy images. This paper provides a new perspective to treat image dehazing as…
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…
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…
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
Xue Jiang, Zhuoran Zheng, Chen Lyu +2
Source code can be parsed into the abstract syntax tree (AST) based on defined syntax rules. However, in pre-training, little work has considered the incorporation of tree structur…