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Zixiang Zhao
Zixiang Zhao
Xi'an Jiaotong University | ETH Zurich | Harvard University
Verified email at stu.xjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
DIDFuse: Deep image decomposition for infrared and visible image fusion
Z Zhao, S Xu, C Zhang, J Liu, J Zhang, P Li
2020 International Joint Conferences on Artificial Intelligence (IJCAI), 2021
1482021
Deep gradient projection networks for pan-sharpening
S Xu, J Zhang, Z Zhao, K Sun, J Liu, C Zhang
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1252021
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
Z Zhao, H Bai, J Zhang, Y Zhang, S Xu, Z Lin, R Timofte, L Van Gool
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
1162023
Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling
Z Zhao, S Xu, J Zhang, C Liang, C Zhang, J Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2021
1052021
Bayesian fusion for infrared and visible images
Z Zhao, S Xu, C Zhang, J Liu, J Zhang
Signal Processing 177, 107734, 2020
932020
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Z Zhao, J Zhang, S Xu, Z Lin, H Pfister
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2022
792022
DDFM: denoising diffusion model for multi-modality image fusion
Z Zhao, H Bai, Y Zhu, J Zhang, S Xu, Y Zhang, K Zhang, D Meng, ...
2023 IEEE/CVF International Conference on Computer Vision (ICCV), Oral, 2023
492023
MFIF-GAN: A new generative adversarial network for multi-focus image fusion
Y Wang, S Xu, J Liu, Z Zhao, C Zhang, J Zhang
Signal Processing: Image Communication 96, 116295, 2021
312021
FGF-GAN: A lightweight generative adversarial network for pansharpening via fast guided filter
Z Zhao, J Zhan, S Xu, K Sun, L Huang, J Liu, C Zhang
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
202021
Spherical space feature decomposition for guided depth map super-resolution
Z Zhao, J Zhang, X Gu, C Tan, S Xu, Y Zhang, R Timofte, L Van Gool
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
152023
Deep convolutional sparse coding network for pansharpening with guidance of side information
S Xu, J Zhang, K Sun, Z Zhao, L Huang, J Liu, C Zhang
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
102021
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion
Z Zhao, J Zhang, H Bai, Y Wang, Y Cui, L Deng, K Sun, C Zhang, J Liu, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop …, 2023
9*2023
Equivariant multi-modality image fusion
Z Zhao, H Bai, J Zhang, Y Zhang, K Zhang, S Xu, D Chen, R Timofte, ...
arXiv preprint arXiv:2305.11443, 2023
82023
Optimization algorithm unfolding deep networks of detail injection model for pansharpening
Y Feng, J Liu, K Chen, B Wang, Z Zhao
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
82021
Automatic velocity picking using a multi-information fusion deep semantic segmentation network
H Wang, J Zhang, Z Zhao, C Zhang, L Long, Z Yang, W Geng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2022
32022
Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction
X Wei, C Zhang, H Wang, Z Zhao, D Xiong, S Xu, J Zhang, SW Kim
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
22022
Domain adaptive object detection via feature separation and alignment
C Liang, Z Zhao, J Liu, J Zhang
arXiv preprint arXiv:2012.08689, 2020
22020
CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition
K Sun, J Zhang, S Xu, Z Zhao, C Zhang, J Liu, J Hu
IEEE Transactions on Neural Networks and Learning Systems, 2023
12023
When image decomposition meets deep learning: A novel infrared and visible image fusion method
Z Zhao, J Zhang, S Xu, K Sun, C Zhang, J Liu
arXiv preprint arXiv:2009.01315, 2020
12020
Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks
C Tan, J Zhang, J Liu, Z Zhao
2024
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Articles 1–20