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检索条件"任意字段=Wavelets - Applications in Signal and Image Processing X Conference"
4118 条 记 录,以下是71-80 订阅
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Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations
Enhancing Robustness of Implicit Neural Representations Agai...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Wenyong Zhou Yuxin Cheng Zhengwu Liu Taiqiang Wu Chen Zhang Ngai Wong Department of EEE The University of Hong Kong Hong Kong SAR
Implicit Neural Representations (INRs) encode discrete signals in a continuous manner using neural networks, demonstrating significant value across various multimedia applications. However, the vulnerability of INRs p... 详细信息
来源: 评论
Evidential Deep Learning with Reweighted Margin Adjustment for Uncertainty-Driven Cervical OCT image Diagnosis
Evidential Deep Learning with Reweighted Margin Adjustment f...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Hanfeng Zhu Yi Qu Yutao Ma Yuchen Pei School of Computer Science Central China Normal University Wuhan China
Cervical optical coherence tomography (OCT) is crucial in diagnosing cervical diseases due to its high-resolution imaging and non-invasive characteristics. However, recent improvements in classifying cervical OCT imag... 详细信息
来源: 评论
Cross-Channel Unlabeled Sensing over a Union of signal Subspaces
Cross-Channel Unlabeled Sensing over a Union of Signal Subsp...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Taulant Koka Manolis C. Tsakiris Benjamín Béjar Haro Michael Muma Robust Data Science Group Technische Universität Darmstadt Darmstadt Germany Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Swiss Data Science Center Paul Scherrer Institute Villigen Switzerland
Cross-channel unlabeled sensing addresses the problem of recovering a multi-channel signal from measurements that were shuffled across channels. This work expands the cross-channel unlabeled sensing framework to signa... 详细信息
来源: 评论
A Convolutional Recurrent Mixer Network For Radar Meteorological image Super-Resolution
A Convolutional Recurrent Mixer Network For Radar Meteorolog...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Rafael Gonçalves Pires Daniel F. S Santos Roberto V. Calheiros João Paulo Papa Ik Hyun Lee Sambit Bakshi Khan Muhammad Department of Computing São Paulo State University Bauru Brasil Meteorological Research Institute São Paulo State University Bauru Brasil Dept. of Mechatronics Engineering Tech University of Korea IKLAB Inc. South Korea Dept. of CS&E National Institute of Technology Rourkela India School of Convergence Sungkyunkwan University Seoul South Korea
image super-resolution (SR) focuses on reconstructing high-resolution images from their low-resolution counter-parts, often affected by sensor limitations or environmental factors. Convolutional Neural Networks (CNNs)... 详细信息
来源: 评论
Refiner: Fine-grained Cross-modal Concepts Refinement for Compositional Zero-Shot Learning
Refiner: Fine-grained Cross-modal Concepts Refinement for Co...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: xiao Zhang Haodong Jing Hui Chen Yongqiang Ma Nanning Zheng National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications and Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University China
Recent Compositional Zero-Shot Learning (CZSL) methods increasingly adopt the pre-trained vision-language models to capture the contextual relations between image and text spaces. However, the single-class-token desig... 详细信息
来源: 评论
NeRF-VLD: Efficient Visual Landmark Database Construction via Scene Constraints
NeRF-VLD: Efficient Visual Landmark Database Construction vi...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Tao Chen Qun Niu Ning Liu Sun Yat-Sen University
Visual landmarks, with their unique textures, play a crucial role in vision-based environmental sensing applications (such as augmented reality-based advertising, indoor navigation). However, few studies have focused ... 详细信息
来源: 评论
Cross-Component Residual Prediction for Geometry-Based Point Cloud Compression
Cross-Component Residual Prediction for Geometry-Based Point...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Bharath Vishwanath Yingzhan xu Kai Zhang Li Zhang Bytedance Inc. San Diego CA USA
Point cloud compression is pivotal for the success of immersive multimedia applications. For attribute compression in geometry-based point cloud compression (G-PCC), Region Adaptive Hierarchical Transform (RAHT) is th... 详细信息
来源: 评论
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
Leveraging Multimodal Diffusion Models to Accelerate Imaging...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Timofey Efimov Harry Dong Megna Shah Jeff Simmons Sean Donegan Yuejie Chi Electrical and Computer Engineering Carnegie Mellon University Materials and Manufacturing Directorate Air Force Research Laboratory
Diffusion models have found phenomenal success as expressive priors for solving inverse problems, but their extension beyond natural images to more structured scientific domains remains limited. Motivated by applicati... 详细信息
来源: 评论
CabiNet: A Deep Learning Framework for Multiclass Medical image Segmentation from Multiple Single Class Datasets
CabiNet: A Deep Learning Framework for Multiclass Medical Im...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Aman Soni Ishita Maiti Nirmalya Ghosh Electrical Engineering IIT Kharagpur Kharagpur India School of Medical Science and Technology IIT Kharagpur Kharagpur India
The development of deep learning based image segmentation algorithms is often hindered by the lack of adequately annotated datasets, and this issue becomes a severe bottleneck in multi-class segmentation. The models c... 详细信息
来源: 评论
LSU-NET: Lightweight Automatic Organs Segmentation Network for Medical images
LSU-NET: Lightweight Automatic Organs Segmentation Network f...
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International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Yujie Ding Shenghua Teng Zuoyong Li xiao Chen College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control School of Computer and Big Data Minjiang University Fuzhou China
UNet and its variants have widespread applications in medical image segmentation. However, the substantial number of parameters and computational complexity of these models make them less suitable for use in clinical ... 详细信息
来源: 评论