Chenghua Li

Orcid: 0000-0003-1407-7810

According to our database1, Chenghua Li authored at least 60 papers between 2008 and 2024.

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Bibliography

2024
Dynamic Weighted Gradient Reversal Network for Visible-infrared Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

NTIRE 2024 Image Shadow Removal Challenge Report.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Shadow Removal based on Diffusion, Segmentation and Super-resolution Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Image super-resolution algorithm based on V-transform combined with neural network.
Int. J. Comput. Appl. Technol., 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report.
CoRR, 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
CoRR, 2022

A RAW Burst Super-Resolution Method with Enhanced Denoising.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

EESRNet: A Network for Energy Efficient Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022


CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022




RISPNet: A Network for Reversed Image Signal Processing.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022



Gamma-enhanced Spatial Attention Network for Efficient High Dynamic Range Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022


2021
Noise Map Guided Inpainting Network for Low-Light Image Enhancement.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

LTNet: Light Transfer Network for Depth Guided Image Relighting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Few-Shot Visual Classification Using Image Pairs With Binary Transformation.
IEEE Trans. Circuits Syst. Video Technol., 2020

Novel QoS optimization paradigm for IoT systems with fuzzy logic and visual information mining integration.
Neural Comput. Appl., 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
CoRR, 2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
CoRR, 2020

Motion Complementary Network for Efficient Action Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

EEDNet: Enhanced Encoder-Decoder Network for AutoISP.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020





An Ensemble Neural Network for Scene Relighting with Light Classification.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


MMDM: Multi-frame and Multi-scale for Image Demoiréing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


2019
Adaptive deep residual network for single image super-resolution.
Comput. Vis. Media, 2019

A silhouette based novel algorithm for object detection and tracking using information fusion of video frames.
Clust. Comput., 2019

DeLTR: A Deep Learning Based Approach to Traffic Light Recognition.
Proceedings of the Image and Graphics - 10th International Conference, 2019

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

ASSR: A Lightweight Super Resolution Network with Aggregative Structure.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Video Image Defogging Recognition Based on Recurrent Neural Network.
IEEE Trans. Ind. Informatics, 2018

Birds of a feather flock together: Visual representation with scale and class consistency.
Inf. Sci., 2018

Weighted estimation for texture analysis based on Fisher discriminative analysis.
Int. J. Inf. Commun. Technol., 2018

A modified K-means clustering for mining of multimedia databases based on dimensionality reduction and similarity measures.
Clust. Comput., 2018

BundleNet: Learning with Noisy Label via Sample Correlations.
IEEE Access, 2018

2017
Study on compressed sensing reconstruction algorithm of medical image based on curvelet transform of image block.
Neurocomputing, 2017

Predicting edge sign and finding prestige of nodes in networks.
Clust. Comput., 2017

2016
Prediction of Drying Indices for Paddy Rice in a Deep Fixed-Bed Based on Neural Network.
Proceedings of the Computer and Computing Technologies in Agriculture X, 2016

Learning to recognition from Bing Clickture data.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

DeepBE: Learning Deep Binary Encoding for Multi-label Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Exploring the Effect Rules of Paddy Drying on a Deep Fixed-Bed.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

2014
Integrating the enriched feature with machine learning algorithms for human movement and fall detection.
J. Supercomput., 2014

Parallel Training of An Improved Neural Network for Text Categorization.
Int. J. Parallel Program., 2014

2011
Design on a unipolar and unidirectional stepper motor circuit.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010
E-passport EAC scheme based on Identity-Based Cryptography.
Inf. Process. Lett., 2010

2008
Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008


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