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Quantum-inspired multimodal fusion for video sentiment analysis
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“Multimodal Transformer (MulT) [8] takes a different approach by directly computing the inter-modal representations via the encoder of Transformer [34], resulting in a simpler but better-performed network.”
BackgroundMethodInfluentialTensor Fusion Network for Multimodal Sentiment Analysis
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“We evaluate our model by comparing it against state-of-the-art (SOTA) baselines on two benchmarking multimodal sentiment analysis datasets, namely CMU-MOSI [25] and CMU-MOSEI [6].”
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Research works printed but not linked: 1
- J. Wang, D. Song, K. Leszek, Tensor Product of Correlated Textual and Visual Features: A Quantum Theory Inspired Image Retrieval Framework, in: AAAI Fall Symposium Series, URL https://www.aaai.org/ocs/index.php/FSS/FSS10/paper/view/2297.
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Metadata
- Authors
- Li, Q., Gkoumas, D., Lioma, C., & Melucci, M.
- Affiliations
- University of Padua (IT)
- The Open University (GB)
- University of Copenhagen (DK)
- Corresponding author
- Li, Qiuchi
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 65
- Pages
- 58-71
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W3048195943
- Cited by
- 143
- References
- 65
- Citations by year
- 2026: 12 · 2025: 31 · 2024: 23 · 2023: 31 · 2022: 32 · 2021: 13
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Information Fusion (publishedVersion)
- Open Research Online (The Open University) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University) (cc-by)
- Funders
- H2020 Marie Skłodowska-Curie Actions
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- multimodal fusion, video sentiment analysis, quantum-inspired neural networks, quantum entanglement, superposition, complex-valued neural networks, interpretability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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