Hong Shang — accepted AI-conference papers

2023

ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling

Kai Yang, Hong Shang, Tianyang Shi, Xinghan Chen, Jingkai Zhou, Zhongqian Sun +1

ICCV 2023poster

The research fields of parametric face model and 3D face reconstruction have been extensively studied. However, a critical question remains unanswered: how to tailor the face model for specific reconstruction settings. We argue that reconstruction with multi-view uncalibrated images demands a new mo…

Cited by 6 PDF ↗Scholar ↗

2020

Weakly Supervised Learning with Side Information for Noisy Labeled Images

Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng +2

ECCV 2020poster

In many real-world datasets, like WebVision, the performance of DNN based classier is often limited by the noisy labeled data. To tackle this problem, some image related side information, such as captions and tags, often reveal underlying relationships across images. In this paper, we present an eff…

Cited by 60 Source ↗PDF ↗Scholar ↗