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2015 IEEE International Conference on Mechatronics and Automation (ICMA), 2015
Studies both on animal and human suggest temporal principle govern audiovisual integration greatly. However, its effect on audiovisual integration of elderly adults remains ambiguous. In this study, unimodal auditory (A), unimodal visual (V) or audiovisual (AV) stimulus with various temporal gap ( 0, 100 or −100 ms) were presented randomly on the left ...
Yan-Na Ren +4 more
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Studies both on animal and human suggest temporal principle govern audiovisual integration greatly. However, its effect on audiovisual integration of elderly adults remains ambiguous. In this study, unimodal auditory (A), unimodal visual (V) or audiovisual (AV) stimulus with various temporal gap ( 0, 100 or −100 ms) were presented randomly on the left ...
Yan-Na Ren +4 more
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Bridging the gap between image and metaphor through cross-modal iconicity
2017Our minds are capable of perceiving similarities not only within the same but also across different sensory areas and different cognitive domains. Iconicity is representation based on similarity, and cross-modal iconicity, which is an extremely widespread phenomenon, should be understood as iconicity that crosses the borders of different kinds of ...
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Bridge Gap in Pixel and Feature Level for Cross-Modality Person Re-Identification
IEEE Transactions on Circuits and Systems for Video TechnologyVisible thermal person re-identification (VT-ReID) plays a vital role in intelligent surveillance systems, particularly in weak lighting environments. VT-ReID faces substantial challenges, including the cross-modality gap and intra-class variations. Existing methods address these challenges through either pixel-level image translation techniques or ...
Yongguo Ling +4 more
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Bridging the Semantic Gap: Context-Aware Cross-Modal Fusion for Enhanced AI Perception
This paper addresses the challenge of bridging the semantic gap in artificial intelligence perception by introducing a novel context-aware cross-modal fusion framework. Current AI systems often struggle with integrating information from diverse sensory modalities (e.g., vision, audio, and text) effectively, leading to suboptimal performance in complex ...Revista, Zen, IA, 10
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Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023Beichen Kang +5 more
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Bridging the cross-modal gap using adversarial training for speech-to-text translation
Digital Signal Processing, 2022Hao Zhang, Xukui Yang, Dan Qu, Zhen Li
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Bridging the Gap Between Modalities with Cross-Modal Generative AI and Large Model
2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)Arun Pratap Srivastava +5 more
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C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Fushuo Huo +4 more
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Proceedings of the 2nd International Workshop on Multimedia Computing for Health and Medicine
Junan Li +4 more
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Junan Li +4 more
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