Publications

Selected Publications:

Zhang, Xinjie, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, and Jun Zhang. Content-aware Masked Image Modeling Transformer for Stereo Image Compression, AAAI, 2025.

Chen, Yuan, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, and Si Liu. Asynchronous Large Language Model Enhanced Planner for Autonomous Driving, ECCV, 2024.

Du, Penghui, Yu Wang, Yifan Sun, Luting Wang, Yue Liao, Gang Zhang, Errui Ding, Yan Wang, Jingdong Wang, and Si Liu. LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction, ECCV, 2024.

Zhang, Xinjie, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, and Jun Zhang. GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting, ECCV, 2024.

Zhang, Xinjie, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, and Jun Zhang. Boosting Neural Representations for Videos with a Conditional Decoder, CVPR, 2024. Highlight.

Ge, Xingtong, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, and Hongwei Qin. Task-Aware Encoder Control for Deep Video Compression, CVPR, 2024.

Tongda Xu, Dailan He, Ziran Zhu, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang, Idempotence and Perceptual Image Compression, ICLR, 2024. spotlight.

Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang, Idempotent Learned Image Compression with Right-Inverse, NeurIPS, 2023.

Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing, Ya-Qin Zhang, Bit allocation using optimization, ICML, 2023.

Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin, Multi-Sample Training for Neural Image Compression, NeurIPS, 2022.

Chenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Flexible Neural Image Compression via Code Editing, NeurIPS, 2022.

Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang, Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain, CVPR, 2022.

Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang, ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding, CVPR, 2022. oral.

Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin, Checkerboard context model for efficient learned image compression, CVPR, 2021.

Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan, Rui Fan, Fully quantized network for object detection, CVPR, 2019.

Selected tech reports and preprints:

Xu, T., Zhang, Q., Li, Y., He, D., Wang, Z., Wang, Y., Qin, H., Wang, Y., Liu, J. and Zhang, Y.Q., 2023. Conditional Perceptual Quality Preserving Image Compression. arXiv preprint arXiv:2308.08154.

Guo, L., Wang, Y., Xu, T., Luo, J., He, D., Ji, Z., Wang, S., Wang, Y. and Qin, H., 2023. Efficient Learned Lossless JPEG Recompression. arXiv preprint arXiv:2308.13287.

Yu, H., Sun, Q., Hu, J., Xue, X., Luo, J., He, D., Li, Y., Wang, P., Wang, Y., Dai, Y. and Wang, Y., 2022. Evaluating the Practicality of Learned Image Compression. arXiv preprint arXiv:2207.14524.

He, D., Yang, Z., Chen, Y., Zhang, Q., Qin, H. and Wang, Y., 2022. Post-training quantization for cross-platform learned image compression. arXiv preprint arXiv:2202.07513.