multimodal fusion - Robuta Search

https://arxiv.org/abs/2506.13971 [2506.13971] Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for... Abstract page for arXiv paper 2506.13971: Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for Modeling Videoconference... semi supervised learning multimodal fusion https://deepai.org/publication/interpretable-multimodal-fusion-networks-reveal-mechanisms-of-brain-cognition Interpretable multimodal fusion networks reveal mechanisms of brain cognition | DeepAI Jun 16, 2020 - 06/16/20 - Multimodal fusion benefits disease diagnosis by providing a more comprehensive perspective. Developing algorithms is challenging d... multimodal fusion brain cognition networks reveal mechanisms https://openreview.net/forum?id=xAR2jnDZObi&referrer=%5Bthe%20profile%20of%20Vaishnavi%20Subramanian%5D(%2Fprofile%3Fid%3D~Vaishnavi_Subramanian1) Multimodal fusion of imaging and genomics for lung cancer recurrence prediction | OpenReview Lung cancer has a high rate of recurrence in early-stage patients. Predicting the post-surgical recurrence in lung cancer patients has traditionally been... multimodal fusion https://openreview.net/forum?id=KJ5h-yfUHa Attention Bottlenecks for Multimodal Fusion | OpenReview We propose a new multimodal fusion model for video that exchanges cross-modal information between modalities via a small number of 'attention bottleneck'... multimodal fusion attention bottlenecks openreview https://aclanthology.org/2020.findings-emnlp.35/ Dual Low-Rank Multimodal Fusion - ACL Anthology Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. multimodal fusion dual low rank acl https://www.news-medical.net/news/20181004/Multimodal-fusion-model-can-better-predict-cognitive-impairment.aspx Multimodal fusion model can better predict cognitive impairment Jun 19, 2019 - A new study has shown that by combining imaging and neuropsychological testing, one can more accurately assess the cognitive status of individuals. multimodal fusion model better predict cognitive https://openreview.net/forum?id=3dzeN4vEFy Multi-Task Network Guided Multimodal Fusion for Fake News Detection | OpenReview Fake news detection has become a hot research topic in the multimodal domain. Existing multimodal fake news detection research utilizes a series of feature... fake news detection multi task multimodal fusion network guided https://pmc.ncbi.nlm.nih.gov/articles/PMC10734907/ Data-driven multimodal fusion: approaches and applications in psychiatric research - PMC In the era of big data, where vast amounts of information are being generated and collected at an unprecedented rate, there is a pressing demand for innovative... data driven multimodal fusion approaches https://www.utwente.nl/en/eemcs/ps/education/master%20theses/Adarsh/ Assignment: Evaluating and Improving Multimodal Fusion Robustness in Drone-Based Object Detection |... evaluating and improving multimodal fusion https://www.mdpi.com/1424-8220/22/20/7918 Visual Relationship Detection with Multimodal Fusion and Reasoning Visual relationship detection aims to completely understand visual scenes and has recently received increasing attention. However, current methods only use the... multimodal fusion visual relationship detection reasoning https://openreview.net/forum?id=AobzdtqiMe Federated Multimodal Fusion for Action Recognition Leveraging Vision-Language Embeddings and... Federated learning (FL) for Video Action Recognition (VAR) faces significant challenges in balancing privacy preservation, communication efficiency, and model... multimodal fusion for action federated https://www.preprints.org/manuscript/202505.1631 Eye Guided Multimodal Fusion: Toward an Adaptive Learning Framework Using Explainable Artificial... Interpreting diagnostic imaging and identifying relevant features in healthcare present significant challenges. For novices, the risk of misdiagnosis can be... multimodal fusion https://deepai.org/publication/autonomous-soundscape-augmentation-with-multimodal-fusion-of-visual-and-participant-linked-inputs Autonomous Soundscape Augmentation with Multimodal Fusion of Visual and Participant-linked Inputs |... Mar 15, 2023 - 03/15/23 - Autonomous soundscape augmentation systems typically use trained models to pick optimal maskers to effect a desired perceptual cha... multimodal fusion https://www.preprints.org/manuscript/202509.0094 GBV-Net: Hierarchical Fusion of Facial Expressions and Physiological Signals for Multimodal Emotion... A core challenge in multimodal emotion recognition lies in the precise capture of the inherent multimodal interactive nature of human emotions. Addressing the... https://arxiv.org/abs/2407.18552v4 [2407.18552v4] Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross... Abstract page for arXiv paper 2407.18552v4: Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention emotion recognition https://ojp.gov/library/publications/identifying-illicit-drug-dealers-instagram-large-scale-multimodal-data-fusion Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion | Office of... https://openreview.net/forum?id=aP6R9C5skC&referrer=%5Bthe%20profile%20of%20Kun%20Yi%5D(%2Fprofile%3Fid%3D~Kun_Yi2) Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal... Multimodal content, such as mixing text with images, presents significant challenges to rumor detection in social media. Existing multimodal rumor detection... frequency spectrum more effective https://www.brunel.ac.uk/research/Research-degrees/PhD-Topics/Topics?id=388c01ba-b189-4d72-9676-343fdb60ac65 AI-Driven Multimodal Biomedical Data Fusion AI-Driven Multimodal Biomedical Data Fusion Technological advances in biomedicine now enable the collection of high-dimensional, heterogeneous data across... ai driven biomedical data multimodal fusion https://deepai.org/publication/research-on-facial-expression-recognition-based-on-multimodal-data-fusion-and-neural-network Research on facial expression recognition based on Multimodal data fusion and neural network |... Sep 26, 2021 - 09/26/21 - Facial expression recognition is a challenging task when neural network is applied to pattern recognition. Most of the current rec... facial expression recognition https://arxiv.org/abs/2001.09485v1 [2001.09485v1] Multimodal Data Fusion based on the Global Workspace Theory Abstract page for arXiv paper 2001.09485v1: Multimodal Data Fusion based on the Global Workspace Theory multimodal data based on global workspace 2001 fusion https://www.preprints.org/manuscript/202503.2247 Multimodal Fall Detection Using Spatial-Temporal Attention and Bi-LSTM Based Feature Fusion[v1] |... Human fall detection is a significant healthcare concern, particularly among the elderly, due to its links to muscle weakness, cardiovascular issues, and... https://www.umu.se/en/research/groups/train-lab/discriminative-models--multimodal-fusion/ Discriminative models & Multimodal Fusion models multimodal fusion https://www.easychair.org/publications/keyword/zWBS Keyword: Attention-based Multimodal Fusion keyword attention based multimodal fusion https://www.spandidos-publications.com/10.3892/etm.2023.11870/abstract 3D multimodal image fusion based on MRI in the preoperative evaluation of microvascular... Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine. https://www.amazon.science/publications/leveraging-efficient-training-and-feature-fusion-in-transformers-for-multimodal-classification Leveraging efficient training and feature fusion in transformers for multimodal classification -... People navigate a world that involves many different modalities and make decision on what they observe. Many of the classification problems that we face in the... efficient training leveraging feature https://www.inderscience.com/info/inarticle.php?artid=149699 Article: Intelligent home interactive gesture recognition method based on multimodal feature fusion... Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,... intelligent home gesture recognition https://arxiv.org/html/2412.02283 VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple... emotion recognition https://openreview.net/forum?id=2MF4aDRfiE Provable Dynamic Fusion for Low-Quality Multimodal Data | OpenReview The inherent challenge of multimodal fusion is to precisely capture the cross-modal correlation and flexibly conduct cross-modal interaction. To fully release... low quality multimodal data provable dynamic fusion https://openreview.net/forum?id=KI1G4N5mBm&referrer=%5Bthe%20profile%20of%20Jaywon%20Koo%5D(%2Fprofile%3Fid%3D~Jaywon_Koo1) Multimodal Multi-loss Fusion Network for Sentiment Analysis | OpenReview This paper investigates the optimal selection and fusion of feature encoders across multiple modalities and combines these in one neural network to improve... fusion network sentiment analysis multimodal loss openreview https://www.easychair.org/publications/preprint/9f4s MobileFuse: Multimodal Image Fusion at the Edge image fusion multimodal edge https://www.preprints.org/manuscript/202605.0313 Keyframe Selection and Multimodal Fusion for Product Recognition in E-Commerce Live Streaming[v1] |... Product recognition in e-commerce live streaming is hindered by rapid viewpoint changes, occlusions, motion blur, and inconsistencies between visual and spoken... https://m4d.iti.gr/ Multimodal Data Fusion and Analytics Group multimodal data fusion analytics group https://arxiv.org/abs/1802.00924 [1802.00924] Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning Abstract page for arXiv paper 1802.00924: Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning multimodal sentiment analysis https://openreview.net/forum?id=dpGns2IHRW UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification | OpenReview Multimodal Re-Identification (ReID) is a popular retrieval task that aims to re-identify objects across diverse data streams, prompting many researchers to... re identification unicat crafting stronger fusion https://deepai.org/publication/knowledge-base-completion-using-web-based-question-answering-and-multimodal-fusion Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion | DeepAI Nov 14, 2022 - 11/14/22 - Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge. However, these knowled... knowledge base web based https://pmc.ncbi.nlm.nih.gov/articles/PMC4917230/ Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental... It is becoming increasingly clear that combining multi-modal brain imaging data is able to provide more information for individual subjects by exploiting the... https://deepai.org/publication/muse-toolbox-the-multimodal-sentiment-analysis-continuous-annotation-fusion-and-discrete-class-transformation-toolbox MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class... Jul 25, 2021 - 07/25/21 - We introduce the MuSe-Toolbox - a Python-based open-source toolkit for creating a variety of continuous and discrete emotion gold ... multimodal sentiment analysis https://pmc.ncbi.nlm.nih.gov/articles/PMC7984774/ Multimodal fusion of EEG-fNIRS: a mutual information-based hybrid classification framework - PMC Multimodal data fusion is one of the current primary neuroimaging research directions to overcome the fundamental limitations of individual modalities by... https://www.scirp.org/journal/paperinformation?paperid=1096 Multimodal Belief Fusion for Face and Ear Biometrics Discover a robust and efficient multimodal biometric system using GMM and DS theory for face and ear biometrics. Explore the fusion of Gabor wavelet filters... for face multimodal belief fusion ear https://www.preprints.org/manuscript/202605.0163 A Systematic Review of Data-Driven Multimodal Fusion Methods for Simultaneous EEG-fMRI[v1] |... Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) provide complementary views of brain activity, capturing neural... https://www.mdpi.com/1424-8220/20/18/5328 FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a... Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends in affective computing. Several studies have utilized state... https://www.ornl.gov/publication/2023-annual-report-multimodal-data-fusion-3d-gamma-ray-imaging-safeguards 2023 Annual Report: Multimodal Data Fusion with 3D Gamma-Ray Imaging for Safeguards | ORNL 2023 annual report https://openreview.net/forum?id=YVnTOmu9a8 Chemical Language Meets Geometric Graphs: A Multimodal Fusion Approach for Molecular Properties |... Rapid and accurate prediction of the physicochemical properties of molecules given their structures remains a key challenge in cheminformatics. Machine... https://www.mdpi.com/1424-8220/23/13/5855 Node-Loss Detection Methods for CZ Silicon Single Crystal Based on Multimodal Data Fusion Monocrystalline silicon is an important raw material in the semiconductor and photovoltaic industries. In the Czochralski (CZ) method of growing... https://openreview.net/forum?id=ad6Q54fHMr A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection | OpenReview We present a new way to detect 3D objects from multimodal inputs, leveraging both LiDAR and RGB cameras in a hybrid late-cascade scheme, that combines an RGB... https://pmc.ncbi.nlm.nih.gov/articles/PMC11240882/ Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using... Brain function is understood to be regulated by complex spatiotemporal dynamics, and can be characterized by a combination of observed brain response patterns...