Search Results for author: Zhipeng Yu

Found 11 papers, 1 papers with code

Multi-Stage Expansion Planning for Decarbonizing Thermal Generation Supported Renewable Power Systems Using Hydrogen and Ammonia Storage

no code implementations31 Aug 2023 Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yingtian Chi, Yonghua Song, Zhengwei Ren

Large-scale centralized development of wind and solar energy and peer-to-grid transmission of renewable energy source (RES) via high voltage direct current (HVDC) has been regarded as one of the most promising ways to achieve goals of peak carbon and carbon neutrality in China.

Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework

no code implementations6 May 2023 Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang

In this paper, we propose the Adversarial Decoupling Augmentation Framework (ADAF), addressing these issues by targeting the image-text fusion module to enhance the defensive performance of facial privacy protection algorithms.

Denoising

Optimal Sizing of Isolated Renewable Power Systems with Ammonia Synthesis: Model and Solution Approach

no code implementations10 Mar 2023 Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yuxuan Zhao, Yonghua Song

However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multi-year uncertainty of renewable generation lead to difficulties in planning.

HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects

no code implementations18 Jan 2023 Wei Xie, Zhipeng Yu, Zimeng Zhao, Binghui Zuo, Yangang Wang

We construct the first markerless deformable interaction dataset recording interactive motions of the hands and deformable objects, called HMDO (Hand Manipulation with Deformable Objects).

Object Object Reconstruction +1

ICD-Face: Intra-class Compactness Distillation for Face Recognition

no code implementations ICCV 2023 Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang

Knowledge distillation is an effective model compression method to improve the performance of a lightweight student model by transferring the knowledge of a well-performed teacher model, which has been widely adopted in many computer vision tasks, including face recognition (FR).

Face Recognition Knowledge Distillation +1

Action Recognition With Motion Diversification and Dynamic Selection

no code implementations TIP 2022 Peiqin Zhuang, Yu Guo, Zhipeng Yu, Luping Zhou, Lei Bai, Ding Liang, Zhiyong Wang, Yali Wang, Wanli Ouyang

To address this issue, we introduce a Motion Diversification and Selection (MoDS) module to generate diversified spatio-temporal motion features and then select the suitable motion representation dynamically for categorizing the input video.

Action Recognition Computational Efficiency +1

Speckle-based optical cryptosystem and its application for human face recognition via deep learning

no code implementations26 Jan 2022 Qi Zhao, Huanhao Li, Zhipeng Yu, Chi Man Woo, Tianting Zhong, Shengfu Cheng, Yuanjin Zheng, Honglin Liu, Jie Tian, Puxiang Lai

A scattering ground glass is exploited to generate physical secret keys of gigabit length and encrypt face images via seemingly random optical speckles at light speed.

Face Recognition

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