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Lip-Audio Modality Fusion for Deep Forgery Video Detection: 《Computers, Materials & Continua》2025年第2期3499-3515,共17页Yong Liu Zhiyu Wang Shouling Ji Daofu Gong Lanxin Cheng Ruosi Cheng; In response to the problem of traditional methods ignoring audio modality tampering, this study aims to explore an effective deep forgery video detection technique that improves detection precision and reliability by ...; 关键词：Deep forgery video detection lip-audio modality fusion mel frequency cepstrum coefficient siamese neural network band-pass filter

Explore human parsing modality for action recognition: 《CAAI Transactions on Intelligence Technology》2024年第6期1623-1633,共11页Jinfu Liu Runwei Ding Yuhang Wen Nan Dai Fanyang Meng Fang-Lue Zhang Shen Zhao Mengyuan Liu; National Natural Science Foundation of China,Grant/Award Number:62203476;Natural Science Foundation of Guangdong Province,Grant/Award Number:2024A1515012089;Natural Science Foundation of Shenzhen,Grant/Award Number:JCYJ20230807120801002;Shenzhen Innovation in Science and Technology Foundation for The Excellent Youth Scholars,Grant/Award Number:RCYX20231211090248064。; Multimodal-based action recognition methods have achieved high success using pose and RGB modality.However,skeletons sequences lack appearance depiction and RGB images suffer irrelevant noise due to modality limitatio...; 关键词：action recognition human parsing human skeletons

A cross-modal fusion network based on graph feature learning for multimodal emotion recognition: 《The Journal of China Universities of Posts and Telecommunications》2024年第6期16-25,共10页Cao Xiaopeng Zhang Linying Chen Qiuxian Ning Hailong Dong Yizhuo; supported by National Natural Science Foundation of China (62201452)。; In the realm of human-computer interaction, accurately discerning the user's emotional state during a conversation has become increasingly critical. Multimodal emotion recognition has garnered considerable attention.H...; 关键词：multimodal emotion recognition cross-modal complementarity graph neural network(GNN) modality interaction

TransTACs:novel heterobispecific antibodies for targeted protein degradation in cancer therapy: 《Signal Transduction and Targeted Therapy》2024年第12期5370-5372,共3页Wolfgang Walther Sebastian Torke Ulrike Stein; In a recent article in Nature,Dingpeng Zhang and colleagues1 describe a novel approach for the degradation of target proteins.Their newly designed heterobispecific antibody modality hijacks the transferrin receptor in...; 关键词：CANCER MODALITY ANTIBODIES

Modality-experts coordinated adaptation for large multimodal models: 《Science China(Information Sciences)》2024年第12期75-92,共18页Yan ZHANG Zhong JI Yanwei PANG Jungong HAN Xuelong LI; supported by National Key Research and Development Program of China (Grant No.2022ZD0160403);National Natural Science Foundation of China (Grant No.62176178)。; Driven by the expansion of foundation models and the increasing variety of downstream tasks,parameter-efficient fine-tuning(PEFT) methods have exhibited remarkable efficacy in the unimodal domain,effectively mitigatin...; 关键词：large multimodal model multimodal learning vision-language pretraining parameter-efficient fine-tuning ADAPTER modality expert

Non-invasively differentiate non-alcoholic steatohepatitis by visualizing hepatic integrin αvβ3 expression with a targeted molecular imaging modality: 《World Journal of Hepatology》2024年第11期1290-1305,共16页Xiao-Quan Huang Ling Wu Chun-Yan Xue Chen-Yi Rao Qing-Qing Fang Ying Chen Cao Xie Sheng-Xiang Rao Shi-Yao Chen Feng Li; Supported by the National Natural Science Foundation of China,No.81670513;and Young Scientists Fund of the National Natural Science Foundation of China,No.81900511。; BACKGROUND Non-invasive methods to diagnose non-alcoholic steatohepatitis(NASH),an inflammatory subtype of non-alcoholic fatty liver disease(NAFLD),are currently unavailable.AIM To develop an integrin αvβ3-targeted ...; 关键词：Non-alcoholic steatohepatitis Cyclic peptides Magnetic resonance imaging Non-invasive diagnosis Hepatic integrinαvβ3

Current status and impact of the Young Scientist Foundation of the National Natural Science Foundation on Chinese young scholars in cardiovascular research: 《Science China(Life Sciences)》2024年第10期2294-2296,共3页Fei Gao Zhenzhen Chen Wendong Li Hujun Jiang Rui Wang; Cardiovascular disease(CVD)remains the leading cause of disease burden globally,and continued efforts are required in identifying new targets for CVD prevention and treatment(Vaduganathan et al.,2022).Breakthroughs in...; 关键词：PREVENTION MODALITY

The role of multimodality imaging in calcified valves with infective endocarditis: 《Journal of Geriatric Cardiology》2024年第9期927-930,共4页Aker Amir Alexander Fuks Salim Adawi Yuval Avidan Vsevolod Tabachnikov Amnon Eitan Avinoam Shiran; A 68-years old woman presented with ahistory of recurrent fever of 38-39°ac-companied by chills and weakness over the past month.Her physical examination was unremarkable except for an audible 3/6 ejection murmur at ...; 关键词：ELEVATED MODALITY FEVER

LMR-CBT: learning modality-fused representations with CB-Transformer for multimodal emotion recognition from unaligned multimodal sequences被引量：1: 《Frontiers of Computer Science》2024年第4期39-47,共9页Ziwang FU Feng LIU Qing XU Xiangling FU Jiayin QI; National Natural Science Foundation of China(Grant No.72293583).; Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition.Existing approaches use directional pairwise attention or a messag...; 关键词：modality-fused representations cross-model blocks multimodal emotion recognition unaligned multimodal sequences computational affection

Implicit Modality Mining: An End-to-End Method for Multimodal Information Extraction: 《Journal of Electronic Research and Application》2024年第2期124-139,共16页Jinle Lu Qinglang Guo; Multimodal named entity recognition(MNER)and relation extraction(MRE)are key in social media analysis but face challenges like inefficient visual processing and non-optimal modality interaction.(1)Heavy visual embeddi...; 关键词：MULTIMODAL Named entity recognition Relation extraction Patch projection

MODALITY