PDF Ebook about: Deconvolution

Deconvolution

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20 documents available in our comprehensive collection of Deconvolution resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Attentive Convolution
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Attentive Convolution (Q18-1047.pdf)

1.03 MBEN 16 pages
Attentive convolution networks (ATTCONV) are proposed to equip CNNs with RNN-style attention mechanisms, extending the context scope of convolution operations...
Preview of On the Integration of Self-Attention and Convolution.
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On the Integration of Self-Attention and Convolution. (2111.14556.pdf)

1.44 MBEN 16 pages
Researchers from Tsinghua University and Huawei Technologies propose a new model, ACmix, that integrates self-attention and convolution techniques for...
Preview of 398.Chen, Yang ; Sun, Yiwen ; Pickwell-MacPherson, Emma. Total variation deconvolution for terahertz pulsed imaging. Inverse Pro
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398.Chen, Yang ; Sun, Yiwen ; Pickwell-MacPherson, Emma. Total variation deconvolution for terahertz pulsed imaging. Inverse Pro (398TitleTotal variation deconvolution for terahertz pulsed imaging.pdf)

34 KBYPEN 1 page
In terahertz pulsed imaging, a deconvolution process is applied to extract the sample impulse function
Preview of Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
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Learning Discriminative Shrinkage Deep Networks for Image Deconvolution (2111.13876.pdf)

21.7 MBEN 19 pages
The method, called Discriminative Shrinkage Deep Network (DSDNet), formulates the data and regularization terms as learnable and splits the deconvolution model
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PDF document (v9i2p6.pdf)

239 KBEN 23 pages
The Australian Journal of Mathematical Analysis and Applications discusses linear Volterra integral equations with convolution kernels.
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(1708.04943.pdf)

1.92 MBEN 12 pages
Researchers propose a Stacked Deconvolutional Network (SDN) for semantic image segmentation, addressing the issue of spatial resolution loss in Fully
Preview of Deformable CNNs
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Deformable CNNs (1703.06211.pdf)

6.63 MBEN 12 pages
Deformable convolutional networks introduce two new modules, deformable convolution and deformable RoI pooling, to enhance transformation modeling capability...
Preview of Depth Estimation
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Depth Estimation (2003.06637.pdf)

10.4 MBEN 5 pages
A novel learning-based framework for fast depth estimation from stereo images is proposed, utilizing dilated convolution, densely connected convolutional...
Preview of Sign Phonology Modeling
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Sign Phonology Modeling (ES2023-83.pdf)

1.62 MBEduardoEN 6 pages
Researchers explored strategies for modeling sign language phonology, focusing on recognizing 16 phoneme types in ASL-LEX 2.0 using graph convolution networks.
Preview of RubiksNet: Learnable 3D Shift for Efficient Video Action Recognition
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RubiksNet: Learnable 3D Shift for Efficient Video Action Recognition (eccv20.pdf)

3.08 MBEN 17 pages
RubiksNet is an efficient architecture for video action recognition that replaces temporal convolutions with a learnable 3D spatiotemporal shift operation, reducing computational cost while maintaining accuracy. This approach avoids the bottlenecks of standard 3D convolution...
Preview of PrivHAR: Supplementary Material - Privacy-preserving Human Action Recognition with Light Propagation Modeling
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PrivHAR: Supplementary Material - Privacy-preserving Human Action Recognition with Light Propagation Modeling (5080_supp.pdf)

2.05 MBEN 10 pages
This supplementary material provides detailed technical information, including modeling of light propagation, frequency analysis, face recognition metrics, deconvolutions attacks, hardware experiments, asset sources, potential negative impacts, and personal data considerations...
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PDF (916.2 KB) (epjconf_eosam2022_02009.pdf)

916 KBVettenburg TomEN 2 pages
Light-sheet fluorescence microscopy enables rapid 3D imaging of biological samples with high contrast and minimal sample exposure.
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(1805.04554v1.pdf)

12.98 MBEN 11 pages
ContextNet is a deep neural network architecture for real-time semantic segmentation, combining a deep branch at low resolution for global context information...
Preview of DeepLabv3+
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DeepLabv3+ (1802.02611.pdf)

4 MBEN 18 pages
The authors propose DeepLabv3+, an encoder-decoder model for semantic image segmentation, which extends DeepLabv3 by adding a simple yet effective decoder...
Preview of teaching:ws2011:vmcv2011:vmcv_ex03.pdf
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teaching:ws2011:vmcv2011:vmcv_ex03.pdf (vmcv_ex03.pdf)

70 KBEN 2 pages
Variational Methods for Computer Vision exercise sheet 3, dated 18 November 2011, consists of two parts: theory and practical exercises.
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[PDF] (agarSDM21.pdf)

1.77 MBEN 9 pages
AttnAR (attention-based autoregression) is a novel approach for multivariate time series forecasting, addressing limitations of previous models by capturing...
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tomto souboru (263homework.pdf)

1018 KBEN 130 pages
EE263 Autumn 2008-09 homework problems cover various topics in linear systems, including power control algorithms, linear mechanical systems, time-series...
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Download (Factorized_Higher-Order_CNNs_for_Spatio-Temporal_Emotion_Estimation.pdf)

802 KBJean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja PanEN 10 pages
Researchers propose a tensor factorization framework for efficient multidimensional convolutions of higher-order, unifying approaches to compress networks and...
Preview of VideoReTalking: Audio-based Lip Synchronization for Real-World Video Editing
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VideoReTalking: Audio-based Lip Synchronization for Real-World Video Editing (2211.14758.pdf)

3.5 MBEN 13 pages
VideoReTalking uses audio-based lip synchronization to create realistic talking head videos, even in 'in-the-wild' conditions, accurately matching lip movements to input audio and retouching facial expressions.
Preview of Gear Pitting Fault Diagnosis using Acoustic Emission
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Gear Pitting Fault Diagnosis using Acoustic Emission (pdf-158286-84583)

1.39 MBEN 8 pages
Gear pitting fault detection crucial for industrial equipment reliability. Traditional methods use vibration signals and machine learning for diagnosis.

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