Search Results for author: Bolun Zheng

Found 10 papers, 4 papers with code

Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems

no code implementations21 Mar 2023 Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen

We use an encoder to map a facial image and its identity message to a cross-model adversarial example which can disrupt multiple facial manipulation systems to achieve initiative protection.

Fake Image Detection

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective

no code implementations30 Nov 2022 Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen

Additionally, our experiments demonstrate that model selection is non-trivial for OOD detection and should be considered as an integral of the proposed method, which differs from the claim in existing works that proposed methods are universal across different models.

Model Selection Out-of-Distribution Detection +1

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective

2 code implementations9 Oct 2022 Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang

We conduct comprehensive transferable attacks against multiple DNNs to demonstrate the effectiveness of the proposed method.

Boosting Out-of-distribution Detection with Typical Features

1 code implementation9 Oct 2022 Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen

Out-of-distribution (OOD) detection is a critical task for ensuring the reliability and safety of deep neural networks in real-world scenarios.

Out-of-Distribution Detection

Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization

1 code implementation26 Aug 2020 Tingyu Wang, Zhedong Zheng, Chenggang Yan, Jiyong Zhang, Yaoqi Sun, Bolun Zheng, Yi Yang

Existing methods usually concentrate on mining the fine-grained feature of the geographic target in the image center, but underestimate the contextual information in neighbor areas.

Drone navigation Drone-view target localization +2

Image Demoireing with Learnable Bandpass Filters

1 code implementation CVPR 2020 Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis

Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.

Ranked #2 on Image Enhancement on TIP 2018 (using extra training data)

Demoire Image Restoration +2

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