Search Results - Cross-modal autoencoder

Deep supervised multimodal semantic autoencoder for cross‐modal retrieval by Tian, Yu, Yang, Wenjing, Liu, Qingsong, Yang, Qiong

“…Cross‐modal retrieval aims to do flexible retrieval among different modals, whose main issue is how to measure the semantic similarities among multimodal data…”
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Multi-modal semantic autoencoder for cross-modal retrieval by Wu, Yiling, Wang, Shuhui, Huang, Qingming

“…Cross-modal retrieval has gained much attention in recent years. As the research mainstream, most of existing approaches learn projections for data from different modalities into a common space where data can be compared directly…”
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Cross-modal autoencoder framework learns holistic representations of cardiovascular state by Radhakrishnan, Adityanarayanan, Friedman, Sam F., Khurshid, Shaan, Ng, Kenney, Batra, Puneet, Lubitz, Steven A., Philippakis, Anthony A., Uhler, Caroline

“… Using the heart as a model system, we develop a cross-modal autoencoder framework for integrating distinct data modalities and constructing a holistic representation of cardiovascular state…”
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Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction by Rajaram, Sara, Mitchell, Cassie S.

“… This work presents DACMVA, a novel framework to conduct data augmentation in a cross-modal dataset by translating between modalities and oversampling imputations of missing data…”
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A Cross-Modal Autoencoder for Contactless Electrocardiography Monitoring Using Frequency-Modulated Continuous Wave Radar by Liu, Kai-Chun, Peng, Sheng-Yu, Tsao, Yu, Liu, Che-Yu, Chen, Zhu-An, Han Han, Zong, Chen, Wen-Chi, Hsieh, Po-Quan, Li, You-Jin, Hsu, Yu-Juei, Hsu, Shun-Neng

“…) radar signals reflecting cardiac mechanical activity. The proposed method uses a cascade framework with a cross-modal autoencoder trained using joint waveforms, spectrograms, and deep feature losses…”
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Cross-modal semantic autoencoder with embedding consensus by Sun, Shengzi, Guo, Binghui, Mi, Zhilong, Zheng, Zhiming

“… In this work, a cross-modal semantic autoencoder with embedding consensus (CSAEC) is proposed, mapping the original data to a low-dimensional shared space to retain semantic information…”
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Convolutional Cross-Modal Autoencoder-Based Few-Shot Learning for Data Augmentation with Application to Alzheimer Dementia Diagnosis by Bazine, Othmane, Rai, Omar, Aiadi, Oussama, Hedjam, Rachid, Khaldi, Belal, Zhong, Guoqiang

“… With regard to data augmentation and, to deal with data scarcity issues, we designed a convolutional cross-modal autoencoder (CCMAE…”
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Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception Using a Dual Cross-Modal Autoencoder by Park, Chaeree, Park, Hyunkyu, Kim, Jung

“… A dual cross-modal autoencoder was designed to match the sensor domains at a feature level without any extensive labeling process, facilitating the computationally efficient transferability to various tasks…”
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AutoSen: Improving Automatic WiFi Human Sensing through Cross-Modal Autoencoder by Gao, Qian, Hao, Yanling, Liu, Yuanwei

“… AutoSen establishes a direct link between amplitude and phase through automated cross-modal autoencoder learning…”
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Cross-Modal Contrastive Masked AutoEncoder for Compressed Video Pre-Training by Li, Bing, Chen, Jiaxin, Li, Guohao, Zhang, Dongming, Bao, Xiuguo, Huang, Di

“…In this paper, we propose a novel Transformer based approach, namely Cross-modal Contrastive Masked AutoEncoder (C2MAE…”
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Perceptual Compression of Multimodal Tactile Signals with an Attention-Enhanced Autoencoder and Cross-Modal Psychohaptic Loss Function by Wei, Wenxuan, Xu, Xiao, Nockenberg, Lars, Rodriguez-Guevara, Daniel, Steinbach, Eckehard

“…This paper presents MPTC-Net, an autoencoder-based perceptual codec for multimodal tactile signals, capable of jointly compressing data across multiple tactile dimensions…”
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Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification by Ma, Suqiang, Liu, Chun, Li, Zheng, Yang, Wei

“… seen in the training stage are of great significance. By projecting the image visual features and the class semantic features into the latent space and ensuring their alignment, the variational autoencoder (VAE…”
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A Cross-Modal Adaptive Masked Autoencoder for Decoding Emotions With Multimodal Data by Cheng, Cheng, Liu, Wenzhe, Zhang, Yong, Feng, Lin, Jia, Ziyu

“… To this end, we propose a unified model called cross-modal adaptive masked autoencoder (CMA-MAE) for incomplete multimodal learning…”
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CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation by Xi, Qiyuan, Wang, Fei, Tao, Liangze, Zhang, Hanjing, Jiang, Xun, Wu, Juan

“… Furthermore, this approach can be applied to robot-related tasks. This letter presents a cross-modal adversarial variational autoencoder (CM-AVAE…”
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Unsupervised Contrastive Hashing With Autoencoder Semantic Similarity for Cross-Modal Retrieval in Remote Sensing by Liu, Na, Wu, Guodong, Huang, Yonggui, Chen, Xi, Li, Qingdu, Wan, Lihong

“…In large-scale multimodal remote sensing data archives, the application of cross-modal technology to achieve fast retrieval between different modalities has attracted great attention…”
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A Novel Obstacle Traversal Method for Multiple Robotic Fish Based on Cross-Modal Variational Autoencoders and Imitation Learning by Wang, Ruilong, Wang, Ming, Zhao, Qianchuan, Gong, Yanling, Zuo, Lingchen, Zheng, Xuehan, Gao, He

“… To address this problem, this paper proposes a multi-robot fish obstacle traversal technique based on the combination of cross-modal variational autoencoder (CM-VAE…”
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Cross-Modal Information Recovery and Enhancement Using Multiple-Input-Multiple-Output Variational Autoencoder by Liang, Jessica E.

“…) variational autoencoder (VAE) and subsequently apply it to cross-modal information recovery and enhancement…”
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Variational autoencoder based on distributional semantic embedding and cross-modal reconstruction for generalized zero-shot fault diagnosis of industrial processes by Mou, Miao, Zhao, Xiaoqiang, Liu, Kai, Hui, Yongyong

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Autoencoder-based self-supervised hashing for cross-modal retrieval by Li, Yifan, Wang, Xuan, Cui, Lei, Zhang, Jiajia, Huang, Chengkai, Luo, Xuan, Qi, Shuhan

“…Cross-modal retrieval has gained lots of attention in the era of the multimedia data explosion…”
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Embedding Consensus Autoencoder for Cross-modal Semantic Analysis by Sun, Sheng-Zi, Guo, Bing-Hui, Yang, Xiao-Bo

“… data.In this work, an Embedding Consensus Autoencoder for Cross-Modal Semantic Analysis is proposed, which maps the original data to a low-dimensional shared space to retain semantic…”
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