Dailan He

According to our database, Dailan He authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Consistency Models Improve Diffusion Inverse Solvers.

Tongda Xu, Ziran Zhu, Dailan He, Yuanyuan Wang, Ming Sun, Ning Li, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CoRR, 2024

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting.

Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang

CoRR, 2024

Content-aware Masked Image Modeling Transformer for Stereo Image Compression.

Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang

CoRR, 2024

Boosting Neural Representations for Videos with a Conditional Decoder.

Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang

CoRR, 2024

Idempotence and Perceptual Image Compression.

Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CoRR, 2024

2023

Conditional Perceptual Quality Preserving Image Compression.

Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CoRR, 2023

KBNet: Kernel Basis Network for Image Restoration.

Yi Zhang, Dasong Li, Xiaoyu Shi, Dailan He, Kangning Song, Xiaogang Wang, Hongwei Qin, Hongsheng Li

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

2022

Bit Allocation using Optimization.

Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang

CoRR, 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

Post-Training Quantization for Cross-Platform Learned Image Compression.

Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang

CoRR, 2022

Multi-Sample Training for Neural Image Compression.

Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flexible Neural Image Compression via Code Editing.

Chenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding.

Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang

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

Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain.

Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang

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

2021

HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning.

Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin

CoRR, 2021

TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding.

Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Checkerboard Context Model for Efficient Learned Image Compression.

Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation.

Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019