Search Results - "Yao, Taiping"

Magnetic Field Sensing Based on Magnetoelectric Coupling of Ampere Force Effect with Piezoelectric Effect in Silver/Poly(vinylidine Fluoride)/Silver Laminated Composite by Qi, Bing, Zhang, Yudong, Yao, Taiping

“…With the advantages of large piezoelectric constant, wide frequency response range and good flexibility, Poly(vinylidine fluoride) (PVDF) is receiving…”
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End-to-End Reconstruction-Classification Learning for Face Forgery Detection by Cao, Junyi, Ma, Chao, Yao, Taiping, Chen, Shen, Ding, Shouhong, Yang, Xiaokang

“…Existing face forgery detectors mainly focus on specific forgery patterns like noise characteristics, local textures, or frequency statistics for forgery…”
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Reciprocal normalization for domain adaptation by Huang, Zhiyong, Sheng, Kekai, Li, Ke, Liang, Jian, Yao, Taiping, Dong, Weiming, Zhou, Dengwen, Sun, Xing

“…Batch normalization (BN) is widely used in modern deep neural networks, which has been shown to represent the domain-related knowledge, and thus is ineffective…”
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Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning by Cao, Junyi, Zhang, Ke-Yue, Yao, Taiping, Ding, Shouhong, Yang, Xiaokang, Ma, Chao

“…Real-world face recognition systems are vulnerable to diverse face attacks, ranging from digitally manipulated artifacts to physically crafted spoofing…”
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Correction: Continual Face Forgery Detection via Historical Distribution Preserving by Sun, Ke, Chen, Shen, Yao, Taiping, Sun, Xiaoshuai, Ding, Shouhong, Ji, Rongrong

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Continual Face Forgery Detection via Historical Distribution Preserving by Sun, Ke, Chen, Shen, Yao, Taiping, Sun, Xiaoshuai, Ding, Shouhong, Ji, Rongrong

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Rethinking Open-World DeepFake Attribution with Multi-perspective Sensory Learning by Sun, Zhimin, Chen, Shen, Yao, Taiping, Yi, Ran, Ding, Shouhong, Ma, Lizhuang

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AC/DC Magnetic Field Sensing Utilizing Mechanically Mediated Product Effect of Ampere Force Caused by Eddy Currents and Piezoelectricity in a Magnetoelectric Disk by Qi, Bing, Zhang, Yudong, Yao, Taiping, Shang, Haikun

“…The last two decades have witnessed an ever‐increasing research effort devoted to the development and application of magnetoelectric (ME) sensing composites…”
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Functional nano‐fillers in waterborne polyurethane/acrylic composites and the thermal, mechanical, and dielectrical properties by Zhou, Xing, Song, Yonghua, Wang, Dong, Fang, Changqing, Xie, Li, Yao, Taiping, Zhang, Xin, Zhang, Jiawei

“…Modification is mostly used to adjust and increase the performance of polymers by employing organic or inorganic fillers in composites. It is significant to…”
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Exploring Frequency Adversarial Attacks for Face Forgery Detection by Jia, Shuai, Ma, Chao, Yao, Taiping, Yin, Bangjie, Ding, Shouhong, Yang, Xiaokang

“…Various facial manipulation techniques have drawn seri-ous public concerns in morality, security, and privacy. Al- though existing face forgery classifiers…”
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Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition by Li, Zexin, Yin, Bangjie, Yao, Taiping, Guo, Junfeng, Ding, Shouhong, Chen, Simin, Liu, Cong

“…A hard challenge in developing practical face recognition (FR) attacks is due to the black-box nature of the target FR model, i.e., inaccessible gradient and…”
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Delving into Data: Effectively Substitute Training for Black-box Attack by Wang, Wenxuan, Yin, Bangjie, Yao, Taiping, Zhang, Li, Fu, Yanwei, Ding, Shouhong, Li, Jilin, Huang, Feiyue, Xue, Xiangyang

“…Deep models have shown their vulnerability when processing adversarial samples. As for the black-box attack, without access to the architecture and weights of…”
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Improvement in anti-static property and thermal conductivity of epoxy resin by doping graphene by Zhang, Jiawei, Yao, Taiping, Shahsavarian, Tohid, Li, Chuanyang, Lei, Zhipeng, Zhang, Zhousheng, Jia, Ruokun, Diaham, Sombel

“…This work investigates the effect of graphene filler in epoxy resin with the purpose of developing an improved thermally conductive epoxy encapsulation…”
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Multiple Granularity Group Interaction Prediction by Yao, Taiping, Wang, Minsi, Ni, Bingbing, Wei, Huawei, Yang, Xiaokang

“…Most human activity analysis works (i.e., recognition or prediction) only focus on a single granularity, i.e., either modelling global motion based on the…”
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Instance-Aware Domain Generalization for Face Anti-Spoofing by Zhou, Qianyu, Zhang, Ke-Yue, Yao, Taiping, Lu, Xuequan, Yi, Ran, Ding, Shouhong, Ma, Lizhuang

“…Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to improve the generalization on unseen scenarios. Previous methods…”
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A Dual-stream Framework for 3D Mask Face Presentation Attack Detection by Chen, Shen, Yao, Taiping, Zhang, Keyue, Chen, Yang, Sun, Ke, Ding, Shouhong, Li, Jilin, Huang, Feiyue, Ji, Rongrong

“…Face presentation attack detection (PAD) plays a vital role in face recognition systems. Many previous face antispoofing methods mainly focus on the 2D face…”
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Structure Destruction and Content Combination for Generalizable Anti-Spoofing by Hu, Chengyang, Cao, Junyi, Zhang, Ke-Yue, Yao, Taiping, Ding, Shouhong, Ma, Lizhuang

“…In securing the face verification systems, prior face anti-spoofing studies excavate hidden cues in original images to discriminate real persons and diverse…”
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Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection by Lin, Kaiqing, Lin, Yuzhen, Li, Weixiang, Yao, Taiping, Li, Bin

“…The proliferation of deepfake faces poses huge potential negative impacts on our daily lives. Despite substantial advancements in deepfake detection over these…”
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DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion by Sun, Ke, Chen, Shen, Yao, Taiping, Liu, Hong, Sun, Xiaoshuai, Ding, Shouhong, Ji, Rongrong

“…The rapid progress of Deepfake technology has made face swapping highly realistic, raising concerns about the malicious use of fabricated facial content…”
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Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning by Yan, Zhiyuan, Zhao, Yandan, Chen, Shen, Fu, Xinghe, Yao, Taiping, Ding, Shouhong, Yuan, Li

“…Three key challenges hinder the development of current deepfake video detection: (1) Temporal features can be complex and diverse: how can we identify general…”
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