Search Results for author: Zihao Xiao

Found 16 papers, 3 papers with code

Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems

no code implementations10 Apr 2018 Zihao Xiao, Jianfei Chen, Jun Zhu

We also propose an extension to train pLSI and a method to prune the network to obey the limited fan-in of some NMSs.

Stochastic Optimization Topic Models

RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition

no code implementations3 Dec 2019 Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan Yuille

In this paper, we propose the Randomized Simulation as Augmentation (RSA) framework which augments real-world training data with synthetic data to improve the robustness of action recognition networks.

Action Recognition Temporal Action Localization

DASZL: Dynamic Action Signatures for Zero-shot Learning

no code implementations8 Dec 2019 Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager

There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large.

Action Detection Activity Detection +3

Benchmarking Adversarial Robustness

no code implementations26 Dec 2019 Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu

Deep neural networks are vulnerable to adversarial examples, which becomes one of the most important research problems in the development of deep learning.

Adversarial Attack Adversarial Robustness +2

Black-box Detection of Backdoor Attacks with Limited Information and Data

no code implementations ICCV 2021 Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

Although deep neural networks (DNNs) have made rapid progress in recent years, they are vulnerable in adversarial environments.

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

no code implementations CVPR 2021 Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu

However, deep CNNs are vulnerable to adversarial patches, which are physically realizable and stealthy, raising new security concerns on the real-world applications of these models.

Face Recognition

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition

no code implementations9 Mar 2022 Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

It is therefore imperative to develop a framework that can enable a comprehensive evaluation of the vulnerability of face recognition in the physical world.

3D Face Modelling Face Recognition

Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge

2 code implementations16 Jun 2022 Dingcheng Yang, Zihao Xiao, Wenjian Yu

This paper proposes a method for training a surrogate model with dark knowledge to boost the transferability of the adversarial examples generated by the surrogate model.

Adversarial Attack Face Verification +1

Learning Road Scene-level Representations via Semantic Region Prediction

no code implementations2 Jan 2023 Zihao Xiao, Alan Yuille, Yi-Ting Chen

In this work, we tackle two vital tasks in automated driving systems, i. e., driver intent prediction and risk object identification from egocentric images.

Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model

2 code implementations14 Apr 2023 Dingcheng Yang, Wenjian Yu, Zihao Xiao, Jiaqi Luo

In this paper, we propose to improve the transferability of adversarial examples in the transfer-based attack via masking unimportant parameters (MUP).

PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image

1 code implementation CVPR 2023 Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu

As for imprecise image editing, we attribute the problem to the gap between the latent space of real images and that of generated images.

Attribute

Generating Images with 3D Annotations Using Diffusion Models

no code implementations13 Jun 2023 Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille

With explicit 3D geometry control, we can easily change the 3D structures of the objects in the generated images and obtain ground-truth 3D annotations automatically.

3D Pose Estimation Style Transfer

Self-Supervised Transformer with Domain Adaptive Reconstruction for General Face Forgery Video Detection

no code implementations9 Sep 2023 Daichi Zhang, Zihao Xiao, Jianmin Li, Shiming Ge

In this paper, a Self-supervised Transformer cooperating with Contrastive and Reconstruction learning (CoReST) is proposed, which is first pre-trained only on real face videos in a self-supervised manner, and then fine-tuned a linear head on specific face forgery video datasets.

Representation Learning

Learning Part Segmentation from Synthetic Animals

no code implementations30 Nov 2023 Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan Yuille

We then benchmark Syn-to-Real animal part segmentation from SAP to PartImageNet, namely SynRealPart, with existing semantic segmentation domain adaptation methods and further improve them as our second contribution.

Domain Adaptation Pseudo Label +2

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