CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

Zixiang Zhao, Haowen Bai, Jiangshe Zhang, +5

Convolutional Neural NetworkMachine VisionImage AnalysisDeep LearningMachine Learning +13

A connectomic study of a petascale fragment of human cerebral cortex

Alexander Shapson-Coe, Michał Januszewski, Daniel R. Berger, +26

Synaptic TransmissionHuman Cerebral CortexBrain MappingBiomedical EngineeringBrain Organization +27

A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution

Alexander Shapson-Coe, Michał Januszewski, Daniel R. Berger, +28

Science

High ResolutionHuman Cerebral CortexCerebral OrganoidBrain MappingBiomedical Engineering +25

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Yuanhao Cai, Jing Lin, Zudi Lin, +5

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Convolutional Neural NetworkEngineeringMachine LearningAutoencodersSpectrum Estimation +16

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution

Zixiang Zhao, Jiangshe Zhang, Shuang Xu, +2

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Rgb TextureEngineeringMachine LearningDepth MapSuper-resolution Imaging +15

MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images

Donglai Wei, Zudi Lin, Daniel Franco-Barranco, +10

Lecture notes in computer science

BiologyCell DetectionImage AnalysisEngineeringMedical Imaging +11

NTIRE 2022 Spectral Recovery Challenge and Data Set

Boaz Arad, Radu Timofte, Rony Yahel, +55

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Spectral TheoryEngineeringMultispectral ImagingSpectrum EstimationImage Analysis +20

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution

Salma Abdel Magid, Yulun Zhang, Donglai Wei, +4

2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Convolutional Neural NetworkEngineeringMachine LearningSuper-resolution ImagingImage Analysis +16

Revisiting RCAN: Improved Training for Image Super-Resolution

Zudi Lin, Prateek Garg, Atmadeep Banerjee, +6

arXiv (Cornell University)

Super-resolution ImagingPopular Rcan ModelConvolutional Neural NetworkImage AnalysisMachine Learning +12

Dense 4D nanoscale reconstruction of living brain tissue

Philipp Velicky, Eder Miguel, Julia M. Michalska, +17

Nature Methods