Dailan He

According to our database, Dailan He authored at least 36 papers between 2019 and 2026.

Collaborative distances:

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

2026

Robust Cross Supervision With Target Mining for Source-Free Graph Domain Adaptation.

Junyu Luo, Haoyu Tao, Xiao Luo, Yusheng Zhao, Zhiping Xiao, Dailan He, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang

IEEE Trans. Knowl. Data Eng., April, 2026

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation.

Xingtong Ge, Yi Zhang, Yushi Huang, Dailan He, Xiahong Wang, Bingqi Ma, Guanglu Song, Yu Liu, Jun Zhang

CoRR, April, 2026

Improving Joint Audio-Video Generation with Cross-Modal Context Learning.

Bingqi Ma, Linlong Lang, Ming Zhang, Dailan He, Xingtong Ge, Yi Zhang, Guanglu Song, Yu Liu

CoRR, March, 2026

AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization.

Dailan He, Guanlin Feng, Xingtong Ge, Yi Zhang, Bingqi Ma, Guanglu Song, Yu Liu, Hongsheng Li

CoRR, March, 2026

GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splatting.

Tiantian Li, Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Jun Zhang, Yan Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models.

Dailan He, Guanlin Feng, Xingtong Ge, Yazhe Niu, Yi Zhang, Bingqi Ma, Guanglu Song, Yu Liu, Hongsheng Li

CoRR, November, 2025

Fast Training-free Perceptual Image Compression.

Ziran Zhu, Tongda Xu, Minye Huang, Dailan He, Xingtong Ge, Xinjie Zhang, Ling Li, Yan Wang

CoRR, June, 2025

High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning.

Dailan He, Xiahong Wang, Shulun Wang, Guanglu Song, Bingqi Ma, Hao Shao, Yu Liu, Hongsheng Li

CoRR, March, 2025

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior.

Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Limin Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang

CoRR, January, 2025

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior.

Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes.

Xinjie Zhang, Zhening Liu, Yifan Zhang, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Zehong Lin, Shuicheng Yan, Jun Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

CAMSIC: 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping.

Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, Shuo Qin, Zhuofan Zong, Bingqi Ma, Yu Liu, Hongsheng Li

CoRR, 2024

Task-Aware Encoder Control for Deep Video Compression.

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

CoRR, 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

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task-Aware Encoder Control for Deep Video Compression.

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

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