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Baoping Cheng
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2020 – today
- 2024
- [j2]Chengyang Li, Baoping Cheng, Yao Cheng, Haocheng Zhang, Renshuai Liu, Yinglin Zheng, Jing Liao, Xuan Cheng:
FaceRefiner: High-Fidelity Facial Texture Refinement With Differentiable Rendering-Based Style Transfer. IEEE Trans. Multim. 26: 7225-7236 (2024) - [c6]Haitao Cao, Baoping Cheng, Qiran Pu, Haocheng Zhang, Bin Luo, Yixiang Zhuang, Juncong Lin, Liyan Chen, Xuan Cheng:
DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details. ICME 2024: 1-6 - [i3]Yixiang Zhuang, Baoping Cheng, Yao Cheng, Yuntao Jin, Renshuai Liu, Chengyang Li, Xuan Cheng, Jing Liao, Juncong Lin:
Learn2Talk: 3D Talking Face Learns from 2D Talking Face. CoRR abs/2404.12888 (2024) - [i2]Haitao Cao, Baoping Cheng, Qiran Pu, Haocheng Zhang, Bin Luo, Yixiang Zhuang, Juncong Lin, Liyan Chen, Xuan Cheng:
DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details. CoRR abs/2405.19688 (2024) - [i1]Baoping Cheng, Peng Lei, Xiaoyan Xie, Tao Fu, Yukun Zhang, Xiaoming Tao:
Joint Optimization of Buffer Delay and HARQ for Video Communications. CoRR abs/2408.07957 (2024) - 2023
- [c5]Junjie Wu, Baoping Cheng, Lei Luo, Ce Zhu, Hongwei Guo:
Efficient Video SoftCast For Intelligent Reflective Surfaces Assisted Symbiotic Radio Network. BMSB 2023: 1-3 - [c4]Baoping Cheng, Kai Zhang, Junjie Zhao, Sheng Wang, Junjie Yuan:
Remaining Useful Life Prediction with Missing Data based on Knowledge Distillation. ICBAR 2023: 909-916 - [c3]Jian Zhang, Baoping Cheng, Jun Lei, Xiaoming Tao, Lu Yu, Jiaming Lin, Zhijin Qin:
Image Deblurring based on a U-shaped Network for Vehicle Surveillance Scenarios. WCSP 2023: 128-133 - 2022
- [c2]Bingrui Geng, Baoping Cheng, Lei Zhang, Shuai Liu, Guangjin Zhang, Jun Lei, Tao Xiang:
Interference Identification Based on China Mobile Current Network Data. VTC Fall 2022: 1-5 - [c1]Jiaming Lin, Baoping Cheng, Jun Lei:
Investigation Of Infants' Crying Detection In Noisy Home Scene With Deep Learning. VTC Fall 2022: 1-6 - 2020
- [j1]Qingmao Zeng, Xinhui Ma, Baoping Cheng, Erxun Zhou, Wei Pang:
GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning. IEEE Access 8: 172882-172891 (2020)
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last updated on 2024-10-08 21:30 CEST by the dblp team
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