Shengxi Li

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Blind VQA on 360° Video via Progressively Learning From Pixels, Frames, and Video.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Reciprocal GAN Through Characteristic Functions (RCF-GAN).

[BibT_eX]

[DOI]

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

Learned Structure-Based Hybrid Framework for Martian Image Compression.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

Predicting the Invariance Behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Optimizing DNN based quality assessment metric for image compression: A novel rate control method.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Residual based hierarchical feature compression for multi-task machine vision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Neural Characteristic Function Learning for Conditional Image Generation.

[BibT_eX]

[DOI]

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

Learnt Mutual Feature Compression for Machine Vision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

MRS-Net+ for Enhancing Face Quality of Compressed Videos.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Demystifying CNNs for Images by Matched Filters.

[BibT_eX]

[DOI]

CoRR, 2022

A Learning-based Approach for Martian Image Compression.

[BibT_eX]

[DOI]

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

Low-Complexity Attention Modelling via Graph Tensor Networks.

[BibT_eX]

[DOI]

Yao Lei Xu

Kriton Konstantinidis

Ljubisa Stankovic

Proceedings of the IEEE International Conference on Acoustics, 2022

Does text attract attention on e-commerce images: A novel saliency prediction dataset and method.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Universal Framework for Learning the Elliptical Mixture Model.

[BibT_eX]

[DOI]

Zeyang Yu

IEEE Trans. Neural Networks Learn. Syst., 2021

Synergetic application of E-tongue and E-eye based on deep learning to discrimination of Pu-erh tea storage time.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

Kernel Learning with Tensor Networks.

[BibT_eX]

[DOI]

Kriton Konstantinidis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part II: Signals on Graphs.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part I: Graphs and Spectra on Graphs.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2020

Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications.

[BibT_eX]

[DOI]

CoRR, 2020

Reciprocal Adversarial Learning via Characteristic Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MRS-Net: Multi-Scale Recurrent Scalable Network for Face Quality Enhancement of Compressed Videos.

[BibT_eX]

[DOI]

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

Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Optimal Bit Allocation at Frame Level for Rate Control in HEVC.

[BibT_eX]

[DOI]

IEEE Trans. Broadcast., 2019

A general solver to the elliptical mixture model through an approximate Wasserstein manifold.

[BibT_eX]

[DOI]

CoRR, 2019

A Progressive Learning Framework for Unconstrained Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Tracking Dynamic Systems in α-Stable Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models.

[BibT_eX]

[DOI]

Zeyang Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Enhanced Normalized Mean Error loss for Robust Facial Landmark detection.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Closed-Form Optimization on Saliency-Guided Image Compression for HEVC-MSP.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

A universal framework for learning based on the elliptical mixture model (EMM).

[BibT_eX]

[DOI]

Zeyang Yu

CoRR, 2018

2017

Optimal Bit Allocation for CTU Level Rate Control in HEVC.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

A novel rate control scheme for panoramic video coding.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method.

[BibT_eX]

[DOI]

Yuhang Song

Mai Xu

Proceedings of the 2017 Data Compression Conference, 2017

Learning Dynamic GMM for Attention Distribution on Single-Face Videos.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Optimizing Subjective Quality in HEVC-MSP: An Approximate Closed-form Image Compression Approach.

[BibT_eX]

[DOI]

Proceedings of the 2016 Data Compression Conference, 2016

2015

Weight-based R-λ rate control for perceptual HEVC coding on conversational videos.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2015

A novel method on optimal bit allocation at LCU level for rate control in HEVC.

[BibT_eX]

[DOI]