Dingquan Li

According to our database, Dingquan Li authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical Prior-Based Super Resolution for Point Cloud Geometry Compression.

Dingquan Li, Kede Ma, Jing Wang, Ge Li

IEEE Trans. Image Process., 2024

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization.

Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang

CoRR, 2024

Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents.

Weixia Zhang, Dingquan Li, Guangtao Zhai, Xiaokang Yang, Kede Ma

CoRR, 2024

Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression.

Dingquan Li, Kede Ma, Jing Wang, Ge Li

CoRR, 2024

Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method.

Chenxi Yang, Yujia Liu, Dingquan Li, Tingting Jiang

CoRR, 2024

2023

Continual Learning for Blind Image Quality Assessment.

Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma

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

Lightweight super resolution network for point cloud geometry compression.

Wei Zhang, Dingquan Li, Ge Li, Wen Gao

CoRR, 2023

Personalized Image Generation for Color Vision Deficiency Population.

Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches.

Peibei Cao, Dingquan Li, Kede Ma

CoRR, 2022

Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation.

Dingquan Li, Jing Wang, Ge Li

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop.

Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

No-reference Image Quality Assessment via Non-local Dependency Modeling.

Shuvue Jia, Baoliang Chen, Dingquan Li, Shiqi Wang

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Deep Geometry Post-Processing for Decompressed Point Clouds.

Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training.

Dingquan Li, Tingting Jiang, Ming Jiang

Int. J. Comput. Vis., 2021

Semi-Supervised Deep Ensembles for Blind Image Quality Assessment.

Zhihua Wang, Dingquan Li, Kede Ma

CoRR, 2021

Reproducibility Companion Paper: Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment.

Dingquan Li, Tingting Jiang, Ming Jiang, Vajira Lasantha Thambawita, Haoliang Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment.

Dingquan Li, Tingting Jiang, Ming Jiang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?

Dingquan Li, Tingting Jiang, Weisi Lin, Ming Jiang

IEEE Trans. Multim., 2019

Quality Assessment of In-the-Wild Videos.

Dingquan Li, Tingting Jiang, Ming Jiang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information.

Qin He, Dingquan Li, Tingting Jiang, Ming Jiang

Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

2017

Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images.

Dingquan Li, Tingting Jiang, Ming Jiang

Proceedings of the 2017 ACM on Multimedia Conference, 2017