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2020 – today
- 2024
[c11]Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin:
Task-Aware Encoder Control for Deep Video Compression. CVPR 2024: 26036-26045- [i8]Jixiang Luo, Yan Wang, Hongwei Qin:
Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization. CoRR abs/2403.13030 (2024) - [i7]Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin:
Task-Aware Encoder Control for Deep Video Compression. CoRR abs/2404.04848 (2024) - [i6]Jixiang Luo:
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression. CoRR abs/2404.10234 (2024) - [i5]Jixiang Luo:
Rethinking Learned Image Compression: Context is All You Need. CoRR abs/2407.11590 (2024) - 2023
- [c10]Haoran Lv, Junyi Liu, Henan Wang, Yaoming Wang, Jixiang Luo, Yaxiao Liu:
Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis. EACL 2023: 1007-1018 - [c9]Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin:
Unified Learning-Based Lossy and Lossless Jpeg Recompression. ICIP 2023: 216-220 - [c8]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:
Bit Allocation using Optimization. ICML 2023: 38377-38399 - [i4]Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Learned Lossless Compression for JPEG via Frequency-Domain Prediction. CoRR abs/2303.02666 (2023) - [i3]Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin:
Unified learning-based lossy and lossless JPEG recompression. CoRR abs/2312.02705 (2023) - 2022
- [c7]Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang:
PO-ELIC: Perception-Oriented Efficient Learned Image Coding. CVPR Workshops 2022: 1763-1768 - [c6]Rulin Huang, Shaohui Li, Wenrui Dai, Jixiang Luo, Chenglin Li, Junni Zou, Hongkai Xiong:
Video Compression via Inter-frame Chroma Prediction. DCC 2022: 457 - [c5]Liewen Liao, Shaohui Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Efficient Decoder for Learned Image Compression via Structured Pruning. DCC 2022: 464 - [i2]Hongjiu Yu, Qiancheng Sun, Jin Hu, Xingyuan Xue, Jixiang Luo, Dailan He, Yilong Li, Pengbo Wang, Yuanyuan Wang, Yaxu Dai, Yan Wang, Hongwei Qin:
Evaluating the Practicality of Learned Image Compression. CoRR abs/2207.14524 (2022) - 2021
- [c4]Jixiang Luo, Shaohui Li, Wenrui Dai, De Cheng, Gang Li, Chenglin Li, Junni Zou, Hongkai Xiong:
Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging. DCC 2021: 353 - [c3]Liang Yuan, Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Learned Image Compression with Channel-Wise Grouped Context Modeling. ICIP 2021: 2099-2103 - [i1]Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu:
RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising. CoRR abs/2105.07146 (2021) - 2020
- [c2]Jixiang Luo, Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong
:
Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding. DCC 2020: 33-42 - [c1]Chongxin Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression. VCIP 2020: 222-225
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