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Yatong An

2 accepted papers

2023

POINTACL: Adversarial Contrastive Learning for Robust Point Clouds Representation Under Adversarial Attack

ICASSP 2023accepted

Adversarial contrastive learning (ACL) is considered an effective way to improve the robustness of pre-trained models. In contrastive learning, a projector which consists of multilayer perceptron (MLP) will project high dimension 3D point cloud feature into low dimension for calculating contrastive…

Cited by 0SourceScholar
2022

3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching

ECCV 2022poster

"We tackle the essential task of finding dense visual correspondences between a pair of images. This is a challenging problem due to various factors such as poor texture, repetitive patterns, illumination variation, and motion blur in practical scenarios. In contrast to methods that use dense corres…