Search Results for author: Ruidong Chen

Found 4 papers, 0 papers with code

Point Cloud Completion Guided by Prior Knowledge via Causal Inference

no code implementations28 May 2023 Songxue Gao, Chuanqi Jiao, Ruidong Chen, Weijie Wang, Weizhi Nie

In this paper, we propose a novel approach to point cloud completion task called Point-PC, which uses a memory network to retrieve shape priors and designs a causal inference model to filter missing shape information as supplemental geometric information to aid point cloud completion.

Causal Inference Contrastive Learning +1

T2TD: Text-3D Generation Model based on Prior Knowledge Guidance

no code implementations25 May 2023 Weizhi Nie, Ruidong Chen, Weijie Wang, Bruno Lepri, Nicu Sebe

Meanwhile, to effectively integrate multi-modal prior knowledge into textual information, we adopt a novel multi-layer transformer structure to progressively fuse related shape and textual information, which can effectively compensate for the lack of structural information in the text and enhance the final performance of the 3D generation model.

3D Reconstruction Causal Inference

Certified Distributional Robustness via Smoothed Classifiers

no code implementations1 Jan 2021 Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

We focus on certified robustness of smoothed classifiers in this work, and propose to use the worst-case population loss over noisy inputs as a robustness metric.

Certified Distributional Robustness on Smoothed Classifiers

no code implementations21 Oct 2020 Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

For smoothed classifiers, we propose the worst-case adversarial loss over input distributions as a robustness certificate.

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