Li, Shengxi

16 publications

AAAI 2025 InstructOCR: Instruction Boosting Scene Text Spotting Chen Duan, Qianyi Jiang, Pei Fu, Jiamin Chen, Shengxi Li, Zining Wang, Shan Guo, Junfeng Luo

NeurIPS 2025 Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement Derong Kong, Zhixiong Yang, Shengxi Li, Shuaifeng Zhi, Li Liu, Zhen Liu, Jingyuan Xia

CVPR 2025 Spherical Manifold Guided Diffusion Model for Panoramic Image Generation Xiancheng Sun, Mai Xu, Shengxi Li, Senmao Ma, Xin Deng, Lai Jiang, Gang Shen

ICML 2025 Spherical-Nested Diffusion Model for Panoramic Image Outpainting Xiancheng Sun, Senmao Ma, Shengxi Li, Mai Xu, Jingyuan Xia, Lai Jiang, Xin Deng, Jiali Wang

CVPR 2024 A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution Zhixiong Yang, Jingyuan Xia, Shengxi Li, Xinghua Huang, Shuanghui Zhang, Zhen Liu, Yaowen Fu, Yongxiang Liu

NeurIPS 2024 Causal Context Adjustment Loss for Learned Image Compression Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu

CVPR 2024 Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain Qunliang Xing, Mai Xu, Shengxi Li, Xin Deng, Meisong Zheng, Huaida Liu, Ying Chen

ICCV 2023 Neural Characteristic Function Learning for Conditional Image Generation Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li

CVPR 2022 Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method Lai Jiang, Yifei Li, Shengxi Li, Mai Xu, Se Lei, Yichen Guo, Bo Huang

FnTML 2020 Data Analytics on Graphs Part I: Graphs and Spectra on Graphs Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides

FnTML 2020 Data Analytics on Graphs Part II: Signals on Graphs Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides

FnTML 2020 Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides

NeurIPS 2020 Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

AAAI 2020 Solving General Elliptical Mixture Models Through an Approximate Wasserstein Manifold Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

ICCVW 2019 A Progressive Learning Framework for Unconstrained Face Recognition Zhenhua Chai, Shengxi Li, Huanhuan Meng, Shenqi Lai, Xiaoming Wei, Jianwei Zhang

CVPRW 2017 Learning Dynamic GMM for Attention Distribution on Single-Face Videos Yun Ren, Zulin Wang, Mai Xu, Haoyu Dong, Shengxi Li