Chunle Guo

Orcid: 0000-0002-2432-2026

According to our database1, Chunle Guo authored at least 47 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Depth-Aware Unpaired Video Dehazing.
IEEE Trans. Image Process., 2024

The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation.
CoRR, 2024

AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network.
Sci. China Inf. Sci., January, 2023

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators.
IEEE Trans. Image Process., 2023

LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation.
CoRR, 2023

Unlocking Low-Light-Rainy Image Restoration by Pairwise Degradation Feature Vector Guidance.
CoRR, 2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration.
CoRR, 2023

Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration.
CoRR, 2023

SRFormer: Permuted Self-Attention for Single Image Super-Resolution.
CoRR, 2023

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fourmer: An Efficient Global Modeling Paradigm for Image Restoration.
Proceedings of the International Conference on Machine Learning, 2023

Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SRFormer: Permuted Self-Attention for Single Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BeautyREC: Robust, Efficient, and Component-Specific Makeup Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlexiCurve: Flexible Piecewise Curves Estimation for Photo Retouching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DNF: Decouple and Feedback Network for Seeing in the Dark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Underwater Ranker: Learn Which Is Better and How to Be Better.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Designing an Illumination-Aware Network for Deep Image Relighting.
IEEE Trans. Image Process., 2022

Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Low-Light Image and Video Enhancement Using Deep Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

FCMNet: Frequency-aware cross-modality attention networks for RGB-D salient object detection.
Neurocomputing, 2022

BeautyREC: Robust, Efficient, and Content-preserving Makeup Transfer.
CoRR, 2022

CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment.
CoRR, 2022

Image Harmonization by Matching Regional References.
CoRR, 2022

KnifeCut: Refining Thin Part Segmentation with Cutting Lines.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Image Dehazing Transformer with Transmission-Aware 3D Position Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


Towards An End-to-End Framework for Flow-Guided Video Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FocusCut: Diving into a Focus View in Interactive Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding.
IEEE Trans. Image Process., 2021

Lighting the Darkness in the Deep Learning Era.
CoRR, 2021

Deep Retinal Image Non-Uniform Illumination Removal.
Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020
PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement.
IEEE Trans. Multim., 2020

An Underwater Image Enhancement Benchmark Dataset and Beyond.
IEEE Trans. Image Process., 2020

A parallel down-up fusion network for salient object detection in optical remote sensing images.
Neurocomputing, 2020

Flexible Piecewise Curves Estimation for Photo Enhancement.
CoRR, 2020

Accurate Light Field Depth Estimation via an Occlusion-Aware Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution.
IEEE Trans. Image Process., 2019

2018
Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer.
IEEE Signal Process. Lett., 2018

2017
A hybrid method for underwater image correction.
Pattern Recognit. Lett., 2017

DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement.
CoRR, 2017


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