Boning Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Image Compression

Lapped Transforms

Linear Regression

Top Venues

IEEE Signal Process. Lett.

IEEE Trans. Circuits Syst. Video Technol.

J. Vis. Commun. Image Represent.

Publications

Boning Liu, Yan Zhao, Xiaomeng Jiang, Xingguang Ji, Shigang Wang, Yebin Liu, Jian Wei
5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression. IEEE Trans. Image Process. 33 (2024)
Boning Liu, Zerong Zheng, Yebin Liu
Implicit Surface Representation Using Epanechnikov Mixture Regression. IEEE Signal Process. Lett. 31 (2024)
Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, Yebin Liu
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis. CoRR (2023)
Zerong Zheng, Xiaochen Zhao, Hongwen Zhang, Boning Liu, Yebin Liu
AvatarReX: Real-time Expressive Full-body Avatars. ACM Trans. Graph. 42 (4) (2023)
Zerong Zheng, Xiaochen Zhao, Hongwen Zhang, Boning Liu, Yebin Liu
AvatarReX: Real-time Expressive Full-body Avatars. CoRR (2023)
Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, Yebin Liu
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering. CVPR (2023)
Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, Liqiang Nie
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians. CoRR (2023)
Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, Yebin Liu
Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering. CoRR (2022)
Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei
4D Epanechnikov Mixture Regression in LF Image Compression. IEEE Trans. Circuits Syst. Video Technol. 32 (6) (2022)
Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang
Three-dimensional Epanechnikov mixture regression in image coding. Signal Process. 185 (2021)
Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei
3-D Epanechnikov Mixture Regression in integral imaging compression. J. Vis. Commun. Image Represent. 81 (2021)
Boning Liu
Improved Multitask Learning in Neural Networks for Predicting Selective Compounds. HPCCT/BDAI (2020)
Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang
An Image Coding Approach Based on Mixture-of-experts Regression Using Epanechnikov Kernel. ICASSP (2019)