Boning Liu

According to our database, Boning Liu authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression.

Boning Liu, Yan Zhao, Xiaomeng Jiang, Xingguang Ji, Shigang Wang, Yebin Liu, Jian Wei

IEEE Trans. Image Process., 2024

Implicit Surface Representation Using Epanechnikov Mixture Regression.

Boning Liu, Zerong Zheng, Yebin Liu

IEEE Signal Process. Lett., 2024

GPS-Gaussian: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human Novel View Synthesis.

Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, Yebin Liu

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

GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians.

Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, Liqiang Nie

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

2023

AvatarReX: Real-time Expressive Full-body Avatars.

Zerong Zheng, Xiaochen Zhao, Hongwen Zhang, Boning Liu, Yebin Liu

ACM Trans. Graph., August, 2023

Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering.

Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, Yebin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

4D Epanechnikov Mixture Regression in LF Image Compression.

Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei

IEEE Trans. Circuits Syst. Video Technol., 2022

2021

Three-dimensional Epanechnikov mixture regression in image coding.

Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang

Signal Process., 2021

3-D Epanechnikov Mixture Regression in integral imaging compression.

Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei

J. Vis. Commun. Image Represent., 2021

2020

Improved Multitask Learning in Neural Networks for Predicting Selective Compounds.

Boning Liu

Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

2019

An Image Coding Approach Based on Mixture-of-experts Regression Using Epanechnikov Kernel.

Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang

Proceedings of the IEEE International Conference on Acoustics, 2019