activity
20202022
most citedMobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image

7 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 7 cited

Bridging CLIP and StyleGAN through Latent Alignment for Image Editing

Wanfeng Zheng, Qiang Li, Xiaoyan Guo +2

Text-driven image manipulation is developed since the vision-language model (CLIP) has been proposed. Previous work has adopted CLIP to design a text-image consistency-based object…

cs.CV2021★ 7 cited

MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image

Xingyu Chen, Yufeng Liu, Yajiao Dong +5

In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coh…

cs.CV2021

Improving Robustness for Pose Estimation via Stable Heatmap Regression

Yumeng Zhang, Li Chen, Yufeng Liu +3

Deep learning methods have achieved excellent performance in pose estimation, but the lack of robustness causes the keypoints to change drastically between similar images. In view…

cs.CV2021★ 5 cited

Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration

Xingyu Chen, Yufeng Liu, Chongyang Ma +6

Recent years have witnessed significant progress in 3D hand mesh recovery. Nevertheless, because of the intrinsic 2D-to-3D ambiguity, recovering camera-space 3D information from a…

cs.CV2020★ 2 cited

Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets

Tian Chen, Shijie An, Yuan Zhang +4

Monocular depth estimation plays a crucial role in 3D recognition and understanding. One key limitation of existing approaches lies in their lack of structural information exploita…