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20212026
most citedEmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation

9 citations · 33 across the 18 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022

SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation

Zhaoxin Fan, Kaixing Yang, Min Zhang +3

Recently, over-height vehicle strike frequently occurs, causing great economic cost and serious safety problems. Hence, an alert system which can accurately discover any possible h…

cs.CV2022★ 1 cited

FuRPE: Learning Full-body Reconstruction from Part Experts

Zhaoxin Fan, Yuqing Pan, Hao Xu +5

In the field of full-body reconstruction, the scarcity of annotated data often impedes the efficacy of prevailing methods. To address this issue, we introduce FuRPE, a novel framew…

cs.CV2022

GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition

Zhaoxin Fan, Zhenbo Song, Hongyan Liu +1

Large-scale place recognition is a fundamental but challenging task, which plays an increasingly important role in autonomous driving and robotics. Existing methods have achieved a…

cs.CV2022★ 2 cited

Human Pose Driven Object Effects Recommendation

Zhaoxin Fan, Fengxin Li, Hongyan Liu +2

In this paper, we research the new topic of object effects recommendation in micro-video platforms, which is a challenging but important task for many practical applications such a…

cs.CV2022★ 1 cited

Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion

Zhaoxin Fan, Yulin He, Zhicheng Wang +3

Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important. However, most existing completion methods rely…

cs.CV2022★ 1 cited

Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image

Zhaoxin Fan, Zhenbo Song, Jian Xu +4

Recently, RGBD-based category-level 6D object pose estimation has achieved promising improvement in performance, however, the requirement of depth information prohibits broader app…