Juan Wang

Orcid: 0000-0002-3848-9433

Affiliations:

Tsinghua University, Beijing, China

According to our database¹, Juan Wang authored at least 21 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2024

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DeformSg2im: Scene graph based multi-instance image generation with a deformable geometric layout.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

HiMoReNet: A Hierarchical Model for Human Motion Refinement.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

Hierarchical Curriculum Learning for No-Reference Image Quality Assessment.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Teacher-Guided Learning for Blind Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

2020

Local-to-Global Semantic Supervised Learning for Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Semantic Perceptual Image Compression with a Laplacian Pyramid of Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Hierarchical objectness network for region proposal generation and object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Boundary Objectness Network for Object Detection and Localization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Prior-Information-Based Remote Sensing Image Compression with Bayesian Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

A nonparametric Bayesian method of structural saliency dictionary learning for image compression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Quantization and Entropy Coding Scheme for Dictionary Learning Based Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

2015

A New Radiation Correction Method for Remote Sensing Images Based on Change Detection.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 8th International Conference, 2015

Juan Wang

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