Search Results for author: Fazhi He

Found 7 papers, 1 papers with code

P2CADNet: An End-to-End Reconstruction Network for Parametric 3D CAD Model from Point Clouds

no code implementations4 Oct 2023 Zhihao Zong, Fazhi He, Rubin Fan, Yuxin Liu

Computer Aided Design (CAD), especially the feature-based parametric CAD, plays an important role in modern industry and society.

Machining feature recognition using descriptors with range constraints for mechanical 3D models

no code implementations9 Jan 2023 Seungeun Lim, Changmo Yeo, Fazhi He, Jinwon Lee, Duhwan Mun

Machining feature recognition tests were conducted for two test cases using the proposed method, and all machining features included in the test cases were successfully recognized.

Retrieval

Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape

no code implementations28 Nov 2022 Linkun Fan, Fazhi He, Qing Guo, Wei Tang, Xiaolin Hong, Bing Li

As a result, backdoor pattern designed for one certain 3D data structure will be disable for other data structures of the same 3D scene.

Backdoor Attack

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection

1 code implementation23 Aug 2022 Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, DaCheng Tao

The threat of fingerprint leakage from social media raises a strong desire for anonymizing shared images while maintaining image qualities, since fingerprints act as a lifelong individual biometric password.

Adversarial Attack

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

no code implementations20 Jul 2022 Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He

We first randomly mask some patches of the mesh and feed the corrupted mesh into Mesh Transformers.

A Correlative Denoising Autoencoder to Model Social Influence for Top-N Recommender System

no code implementations6 Mar 2017 Yiteng Pan, Fazhi He, Haiping Yu

Towards this problem, we propose a novel Correlative Denoising Autoencoder (CoDAE) method by taking correlations between users with multiple roles into account to learn robust representations from sparse inputs of ratings and social networks for recommendation.

Denoising Recommendation Systems

A propagation matting method based on the Local Sampling and KNN Classification with adaptive feature space

no code implementations3 May 2016 Xiao Chen, Fazhi He

Second, adaptively use local sampling or using local KNN classifier for processing based on the pros and cons of the sample performance of unknown image areas.

General Classification Image Matting

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