Event-Assisted Blurriness Representation Learning for Blurry Image Unfolding [0.03%]
基于事件的图像模糊表示学习及恢复模型
Pengyu Zhang,Hao Ju,Lei Yu et al.
Pengyu Zhang et al.
The goal of blurry image deblurring and unfolding task is to recover a single sharp frame or a sequence from a blurry one. Recently, its performance is greatly improved with introduction of a bio-inspired visual sensor, event camera. Most e...
Daniel Menges,Adil Rasheed,Harald Martens et al.
Daniel Menges et al.
This article presents an algorithmic framework for real-time condition monitoring and state forecasting using multivariate data demonstrated on thermal imagery data of a ship's engine. The proposed method aims to improve the accuracy, effic...
Jianbiao Mei,Yu Yang,Mengmeng Wang et al.
Jianbiao Mei et al.
Semantic scene completion (SSC) aims to predict the semantic occupancy of each voxel in the entire 3D scene from limited observations, which is an emerging and critical task for autonomous driving. Recently, many studies have turned to came...
SWFormer: Stochastic Windows Convolutional Transformer for Hybrid Modality Hyperspectral Classification [0.03%]
基于随机窗口卷积变换器的混合模态高光谱分类方法
Jiaojiao Li,Zhiyuan Zhang,Yuzhe Liu et al.
Jiaojiao Li et al.
Joint classification of hyperspectral images with hybrid modality can significantly enhance interpretation potentials, particularly when elevation information from the LiDAR sensor is integrated for outstanding performance. Recently, the tr...
SRNSD: Structure-Regularized Night-Time Self-Supervised Monocular Depth Estimation for Outdoor Scenes [0.03%]
基于结构正则化的室外场景夜间单目自监督深度估计方法
Runmin Cong,Chunlei Wu,Xibin Song et al.
Runmin Cong et al.
Deep CNNs have achieved impressive improvements for night-time self-supervised depth estimation form a monocular image. However, the performance degrades considerably compared to day-time depth estimation due to significant domain gaps, low...
Yujie Zheng,Chong Wang,Chenchen Tao et al.
Yujie Zheng et al.
Knowledge distillation aims to achieve model compression by transferring knowledge from complex teacher models to lightweight student models. To reduce reliance on pre-trained teacher models, self-distillation methods utilize knowledge from...
Analysis and Benchmarking of Extending Blind Face Image Restoration to Videos [0.03%]
面向视频扩展的盲面部图像恢复分析与基准测试
Zhouxia Wang,Jiawei Zhang,Xintao Wang et al.
Zhouxia Wang et al.
Recent progress in blind face restoration has resulted in producing high-quality restored results for static images. However, efforts to extend these advancements to video scenarios have been minimal, partly because of the absence of benchm...
Subjective Quality Assessment of Compressed Tone-Mapped High Dynamic Range Videos [0.03%]
压缩的 tone-mapping 超高清动态范围视频的质量评估
Abhinau K Venkataramanan,Alan C Bovik
Abhinau K Venkataramanan
High Dynamic Range (HDR) videos are able to represent wider ranges of contrasts and colors than Standard Dynamic Range (SDR) videos, giving more vivid experiences. Due to this, HDR videos are expected to grow into the dominant video modalit...
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity [0.03%]
基于深度和高度互补的CoBEV：提升路边3D目标检测性能
Hao Shi,Chengshan Pang,Jiaming Zhang et al.
Hao Shi et al.
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehicles and enhances road safety. While previous studies have l...
LDPC Code-Based Distributed Source Coding With an Efficient Message Passing Mechanism for the Compression of Correlated Image Sources [0.03%]
基于高效的信道消息传递机制的用于压缩相关图像源的LDPC码分布式源编码方法
Hong Mo,Jianhua Chen
Hong Mo
Different from traditional source coding techniques, distributed source coding (DSC) techniques rely on independent encoding at the encoding end but joint decoding at the decoding end to compress image sources which exhibit correlation. Cha...