Search Results for author: Xiaobo Li

Found 11 papers, 3 papers with code

Context Attention Network for Skeleton Extraction

no code implementations24 May 2022 Zixuan Huang, Yunfeng Wang, Zhiwen Chen, Xin Gao, Ruili Feng, Xiaobo Li

Skeleton extraction is a task focused on providing a simple representation of an object by extracting the skeleton from the given binary or RGB image.

Single-Image 3D Face Reconstruction under Perspective Projection

no code implementations9 May 2022 Yueying Kao, Bowen Pan, Miao Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei, Zixiong Qin

In 3D face reconstruction, orthogonal projection has been widely employed to substitute perspective projection to simplify the fitting process.

3D Face Reconstruction

Weakly Supervised High-Fidelity Clothing Model Generation

1 code implementation CVPR 2022 Ruili Feng, Cheng Ma, Chengji Shen, Xin Gao, Zhenjiang Liu, Xiaobo Li, Kairi Ou, ZhengJun Zha

The development of online economics arouses the demand of generating images of models on product clothes, to display new clothes and promote sales.

Virtual Try-on

Multi-Granularity Network with Modal Attention for Dense Affective Understanding

no code implementations18 Jun 2021 Baoming Yan, Lin Wang, Ke Gao, Bo Gao, Xiao Liu, Chao Ban, Jiang Yang, Xiaobo Li

Video affective understanding, which aims to predict the evoked expressions by the video content, is desired for video creation and recommendation.

A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265

no code implementations5 Apr 2021 Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li

This paper introduces a dual-critic reinforcement learning (RL) framework to address the problem of frame-level bit allocation in HEVC/H. 265.

reinforcement-learning

Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction

no code implementations28 Aug 2020 Jiangjing Lyu, Xiaobo Li, Xiangyu Zhu, Cheng Cheng

It is also a challenging task due to the lack of high-quality datasets that can fuel current deep learning-based methods.

3D Face Reconstruction

Augmented Bi-path Network for Few-shot Learning

no code implementations15 Jul 2020 Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang

Finally, the model learns to compare global and local features separately, i. e., in two paths, before merging the similarities.

Few-Shot Learning

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