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2020 – today
- 2024
[j23]Zhixiong Yang
, Jingyuan Xia, Shengxi Li, Wende Liu, Shuaifeng Zhi, Shuanghui Zhang, Li Liu, Yaowen Fu, Deniz Gündüz:
Meta-learning based blind image super-resolution approach to different degradations. Neural Networks 178: 106429 (2024)- [j22]Tie Liu, Shengxi Li, Mai Xu, Li Yang, Xiaofei Wang:
Assessing Face Image Quality: A Large-Scale Database and a Transformer Method. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3981-4000 (2024) - [j21]Xin Deng, Enpeng Liu, Chao Gao, Shengxi Li, Shuhang Gu, Mai Xu:
CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5725-5742 (2024) - [j20]Xu Yang, Minfeng Huang, Hongwei Guo, Shengxi Li, Lei Luo, Ce Zhu:
Spherical Distortion Temporal Propagation and Spatial Mapping Model for Efficient Panoramic Video Coding. IEEE Trans. Broadcast. 70(2): 654-666 (2024) - [j19]Shengxi Li, Xuelong Li, Leonardo Chiariglione, Jiebo Luo, Wenwu Wang, Zhengyuan Yang, Danilo P. Mandic, Hamido Fujita:
Introduction to the Special Issue on AI-Generated Content for Multimedia. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6809-6813 (2024) - [c28]Qunliang Xing, Mai Xu, Shengxi Li, Xin Deng, Meisong Zheng, Huaida Liu, Ying Chen:
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain. CVPR 2024: 25501-25511 - [c27]Zhixiong Yang, Jingyuan Xia, Shengxi Li, Xinghua Huang, Shuanghui Zhang, Zhen Liu, Yaowen Fu, Yongxiang Liu:
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution. CVPR 2024: 26046-26056 - [c26]Minglang Qiao, Mai Xu, Shijie Wen, Lai Jiang, Shengxi Li, Tao Xu, Yunjin Chen, Leonid Sigal:
Saliency Prediction of Sports Videos: A Large-Scale Database and a Self-Adaptive Approach. ICASSP 2024: 6615-6619 - [c25]Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie:
QVD: Post-training Quantization for Video Diffusion Models. ACM Multimedia 2024: 10572-10581 - [i14]Qunliang Xing, Mai Xu, Shengxi Li, Xin Deng, Meisong Zheng, Huaida Liu, Ying Chen:
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain. CoRR abs/2402.17200 (2024) - [i13]Jingyuan Xia, Zhixiong Yang, Shengxi Li, Shuanghui Zhang, Yaowen Fu, Deniz Gündüz, Xiang Li:
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation. CoRR abs/2406.08896 (2024) - [i12]Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie:
QVD: Post-training Quantization for Video Diffusion Models. CoRR abs/2407.11585 (2024) - [i11]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers. CoRR abs/2409.12610 (2024) - 2023
- [j18]Shengxi Li, Xiancheng Sun, Mai Xu, Lai Jiang, Xin Zou:
Learned Structure-Based Hybrid Framework for Martian Image Compression. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j17]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal GAN Through Characteristic Functions (RCF-GAN). IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2246-2263 (2023) - [j16]Li Yang, Mai Xu, Shengxi Li, Yichen Guo, Zulin Wang:
Blind VQA on 360° Video via Progressively Learning From Pixels, Frames, and Video. IEEE Trans. Image Process. 32: 128-143 (2023) - [j15]Xin Deng, Enpeng Liu, Shengxi Li, Yiping Duan, Mai Xu:
Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding. IEEE Trans. Image Process. 32: 1078-1091 (2023) - [j14]Jingyuan Xia, Shengxi Li, Junjie Huang, Zhixiong Yang, Imad M. Jaimoukha, Deniz Gündüz:
Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5366-5380 (2023) - [j13]Shengxi Li, Danilo P. Mandic:
Von Mises-Fisher Elliptical Distribution. IEEE Trans. Neural Networks Learn. Syst. 34(12): 11006-11012 (2023) - [c24]Tie Liu, Mai Xu, Shengxi Li, Chaoran Chen, Li Yang, Zhuoyi Lv:
Learnt Mutual Feature Compression for Machine Vision. ICASSP 2023: 1-5 - [c23]Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li:
Neural Characteristic Function Learning for Conditional Image Generation. ICCV 2023: 7170-7180 - [c22]Qiuyue Fang, Tao Xu, Lai Jiang, Shengxi Li, Mai Xu, Yunjin Chen, Leonid Sigal:
Optimizing DNN based quality assessment metric for image compression: A novel rate control method. ICME 2023: 714-719 - [c21]Chaoran Chen, Mai Xu, Shengxi Li, Tie Liu, Minglang Qiao, Zhuoyi Lv:
Residual based hierarchical feature compression for multi-task machine vision. ICME 2023: 1463-1468 - [c20]Zhimo Yan, Jinfeng Xu, Hengyang He, Shengxi Li, Ren Yang, Mai Xu, Ce Zhu:
Predicting the Invariance Behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining. MMSP 2023: 1-6 - 2022
- [j12]Tie Liu, Mai Xu, Shengxi Li, Rui Ding, Huaida Liu:
MRS-Net+ for Enhancing Face Quality of Compressed Videos. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2881-2894 (2022) - [c19]Lai Jiang, Yifei Li, Shengxi Li, Mai Xu, Se Lei, Yichen Guo, Bo Huang:
Does text attract attention on e-commerce images: A novel saliency prediction dataset and method. CVPR 2022: 2078-2087 - [c18]Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic:
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP 2022: 3928-3932 - [c17]Qing Ding, Mai Xu, Shengxi Li, Xin Deng, Qiu Shen, Xin Zou:
A Learning-based Approach for Martian Image Compression. VCIP 2022: 1-5 - [i10]Shengxi Li, Xinyi Zhao, Ljubisa Stankovic, Danilo P. Mandic:
Demystifying CNNs for Images by Matched Filters. CoRR abs/2210.08521 (2022) - 2021
- [j11]Zhengwei Yang, Jiyong Gao, Shoucheng Wang, Zhiqiang Wang, Caihong Li, Yubin Lan, Xia Sun, Shengxi Li:
Synergetic application of E-tongue and E-eye based on deep learning to discrimination of Pu-erh tea storage time. Comput. Electron. Agric. 187: 106297 (2021) - [j10]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A Universal Framework for Learning the Elliptical Mixture Model. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3181-3195 (2021) - [c16]Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic:
Kernel Learning with Tensor Networks. ICASSP 2021: 2920-2924 - [i9]Shengxi Li, Danilo P. Mandic:
Von Mises-Fisher Elliptical Distribution. CoRR abs/2103.07948 (2021) - [i8]Li Yang, Mai Xu, Shengxi Li, Yichen Guo, Zulin Wang:
Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video. CoRR abs/2111.09503 (2021) - 2020
- [j9]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part I: Graphs and Spectra on Graphs. Found. Trends Mach. Learn. 13(1): 1-157 (2020) - [j8]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part II: Signals on Graphs. Found. Trends Mach. Learn. 13(2-3): 158-331 (2020) - [j7]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications. Found. Trends Mach. Learn. 13(4): 332-530 (2020) - [c15]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. AAAI 2020: 4658-4666 - [c14]Tie Liu, Mai Xu, Shengxi Li, Rui Ding, Huaida Liu:
MRS-Net: Multi-Scale Recurrent Scalable Network for Face Quality Enhancement of Compressed Videos. ACM Multimedia 2020: 3292-3301 - [c13]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. NeurIPS 2020 - [i7]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. CoRR abs/2001.00426 (2020) - [i6]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. CoRR abs/2006.08413 (2020) - [i5]Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad M. Jaimoukha, Xinwang Liu:
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. CoRR abs/2009.04899 (2020)
2010 – 2019
- 2019
- [j6]Hongwei Guo, Ce Zhu, Shengxi Li, Yanbo Gao:
Optimal Bit Allocation at Frame Level for Rate Control in HEVC. IEEE Trans. Broadcast. 65(2): 270-281 (2019) - [c12]Shenqi Lai, Zhenhua Chai, Shengxi Li, Huanhuan Meng, Mengzhao Yang, Xiaoming Wei:
Enhanced Normalized Mean Error loss for Robust Facial Landmark detection. BMVC 2019: 111 - [c11]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. ICANN (1) 2019: 339-350 - [c10]Sayed Pouria Talebi, Stefan Werner, Shengxi Li, Danilo P. Mandic:
Tracking Dynamic Systems in α-Stable Environments. ICASSP 2019: 4853-4857 - [c9]Zhenhua Chai, Shengxi Li, Huanhuan Meng, Shenqi Lai, Xiaoming Wei, Jianwei Zhang:
A Progressive Learning Framework for Unconstrained Face Recognition. ICCV Workshops 2019: 2703-2710 - [i4]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. CoRR abs/1903.02014 (2019) - [i3]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
A general solver to the elliptical mixture model through an approximate Wasserstein manifold. CoRR abs/1906.03700 (2019) - 2018
- [j5]Shengxi Li, Mai Xu, Yun Ren, Zulin Wang:
Closed-Form Optimization on Saliency-Guided Image Compression for HEVC-MSP. IEEE Trans. Multim. 20(1): 155-170 (2018) - [i2]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A universal framework for learning based on the elliptical mixture model (EMM). CoRR abs/1805.08045 (2018) - 2017
- [j4]Shengxi Li, Mai Xu, Zulin Wang, Xiaoyan Sun:
Optimal Bit Allocation for CTU Level Rate Control in HEVC. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2409-2424 (2017) - [c8]Yun Ren, Zulin Wang, Mai Xu, Haoyu Dong, Shengxi Li:
Learning Dynamic GMM for Attention Distribution on Single-Face Videos. CVPR Workshops 2017: 1632-1641 - [c7]Yuhang Song, Mai Xu, Shengxi Li:
Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method. DCC 2017: 461 - [c6]Yufan Liu, Mai Xu, Chen Li, Shengxi Li, Zulin Wang:
A novel rate control scheme for panoramic video coding. ICME 2017: 691-696 - [i1]Yuhang Song, Mai Xu, Shengxi Li:
Watching Videos with Certain and Constant Quality: PID-based Quality Control Method. CoRR abs/1710.09980 (2017) - 2016
- [c5]Shengxi Li, Mai Xu, Yun Ren, Chengzhang Ma, Zulin Wang:
Optimizing Subjective Quality in HEVC-MSP: An Approximate Closed-form Image Compression Approach. DCC 2016: 437-446 - 2015
- [j3]Shengxi Li, Mai Xu, Xin Deng, Zulin Wang:
Weight-based R-λ rate control for perceptual HEVC coding on conversational videos. Signal Process. Image Commun. 38: 127-140 (2015) - [c4]Shengxi Li, Ying Wang, Jie Li, Xinbo Gao:
Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields. CCCV (1) 2015: 168-178 - [c3]Shengxi Li, Mai Xu, Zulin Wang:
A novel method on optimal bit allocation at LCU level for rate control in HEVC. ICME 2015: 1-6 - 2014
- [j2]Mai Xu, Xin Deng, Shengxi Li, Zulin Wang:
Region-of-Interest Based Conversational HEVC Coding with Hierarchical Perception Model of Face. IEEE J. Sel. Top. Signal Process. 8(3): 475-489 (2014) - [j1]Mai Xu, Shengxi Li, Jianhua Lu, Wenwu Zhu:
Compressibility Constrained Sparse Representation With Learnt Dictionary for Low Bit-Rate Image Compression. IEEE Trans. Circuits Syst. Video Technol. 24(10): 1743-1757 (2014) - [c2]Shengxi Li, Mai Xu, Xin Deng, Zulin Wang:
A novel weight-based URQ scheme for perceptual video coding of conversational video in HEVC. ICME 2014: 1-6 - [c1]Xin Deng, Mai Xu, Shengxi Li, Zulin Wang:
Complexity control of HEVC based on region-of-interest attention model. VCIP 2014: 225-228
Coauthor Index
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last updated on 2024-11-08 21:32 CET by the dblp team
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