Chang Chen

Orcid: 0000-0001-8281-9244

Affiliations:
  • Noah's Ark Lab, Huawei Technologies, Shenzhen, China


According to our database1, Chang Chen authored at least 41 papers between 2017 and 2025.

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Timeline

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Bibliography

2025
LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation.
Int. J. Comput. Vis., January, 2025

Multi-Spectral Image Color Reproduction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Toward DNN of LUTs: Learning Efficient Image Restoration With Multiple Look-Up Tables.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond.
CoRR, 2023

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence.
CoRR, 2023

Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Toward RAW Object Detection: A New Benchmark and A New Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Steerable Function for Efficient Image Resampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Style Projected Clustering for Domain Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Marine Extended Target Tracking for Scanning Radar Data Using Correlation Filter and Bayes Filter Jointly.
Remote. Sens., December, 2022

Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning.
IEEE Trans. Medical Imaging, 2022

A Unified Deep Learning Framework for ssTEM Image Restoration.
IEEE Trans. Medical Imaging, 2022

Retinal Vessel Segmentation with Pixel-Wise Adaptive Filters.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Advanced Deep Networks for 3d Mitochondria Instance Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022


Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach.
Proceedings of the Computer Vision - ECCV 2022, 2022

Contextual Outpainting with Object-Level Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Neuron Stitching for Connectomics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Light Field Super-Resolution With Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Real-World Image Denoising with Deep Boosting.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning to Restore ssTEM Images from Deformation and Corruption.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Camera Trace Erasing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Fast and Accurate Electron Microscopy Image Registration with 3D Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


Light Field Super-Resolution: A Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Camera Lens Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


2018

Deep Residual Attention Network for Spectral Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Boosting for Image Denoising.
Proceedings of the Computer Vision - ECCV 2018, 2018

HSCNN+: Advanced CNN-Based Hyperspectral Recovery From RGB Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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