Jixiang Luo

According to our database, Jixiang Luo authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization.

Jixiang Luo, Yan Wang, Hongwei Qin

CoRR, 2024

2023

Learned Lossless Compression for JPEG via Frequency-Domain Prediction.

Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

CoRR, 2023

Bit Allocation using Optimization.

Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

Proceedings of the International Conference on Machine Learning, 2023

Unified Learning-Based Lossy and Lossless Jpeg Recompression.

Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin

Proceedings of the IEEE International Conference on Image Processing, 2023

Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis.

Haoran Lv, Junyi Liu, Henan Wang, Yaoming Wang, Jixiang Luo, Yaxiao Liu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Evaluating the Practicality of Learned Image Compression.

Hongjiu Yu, Qiancheng Sun, Jin Hu, Xingyuan Xue, Jixiang Luo, Dailan He, Yilong Li, Pengbo Wang, Yuanyuan Wang, Yaxu Dai, Yan Wang, Hongwei Qin

CoRR, 2022

Efficient Decoder for Learned Image Compression via Structured Pruning.

Liewen Liao, Shaohui Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2022

Video Compression via Inter-frame Chroma Prediction.

Rulin Huang, Shaohui Li, Wenrui Dai, Jixiang Luo, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2022

PO-ELIC: Perception-Oriented Efficient Learned Image Coding.

Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang

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

2021

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising.

Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu

CoRR, 2021

Learned Image Compression with Channel-Wise Grouped Context Modeling.

Liang Yuan, Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.

Jixiang Luo, Shaohui Li, Wenrui Dai, De Cheng, Gang Li, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the 31st Data Compression Conference, 2021

2020

Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression.

Chongxin Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.

Jixiang Luo, Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong

Proceedings of the Data Compression Conference, 2020