20 citations · 61 across the 16 of their papers we have counts for
9 papers · 1 filter
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…