Research graph
References from CP-RRA: Clean-Preserving Residual Reliability Adaptation for Robust Multimodal Crisis Classification Under Degraded and Missing Evidence. Local targets link to admitted publications; unresolved targets remain external evidence.
CrisisMMD: Multimodal Twitter datasets from natural disasters
2018 · External reference
HumAID: Human-annotated disaster incidents data from Twitter with deep learning benchmarks
10.1609/icwsm.v15i1.18116 · 2021 · External reference
10.1109/cvpr42600.2020.01469
10.1109/cvpr42600.2020.01469 · External reference
10.3390/app15158758
10.3390/app15158758 · External reference
MKAN-Refine: Fine-grained crisis information mining via reliability-aware nonlinear refinement and Kolmogorov–Arnold networks
10.1109/access.2026.3688494 · 2026 · External reference
10.1145/3589334.3648143
10.1145/3589334.3648143 · External reference
Unresolved reference
External reference
Crossmodal bipolar attention for multimodal classification on social media
10.1016/j.neucom.2022.09.140 · 2022 · External reference
Categorizing crises from social media feeds via multimodal channel attention
10.1109/access.2023.3294474 · 2023 · External reference
10.18653/v1/2023.emnlp-main.471
10.18653/v1/2023.emnlp-main.471 · External reference
ModDrop: Adaptive multi-modal gesture recognition
10.1109/tpami.2015.2461544 · 2016 · External reference
SMIL: Multimodal learning with severely missing modality
2021 · External reference
10.1109/cvpr52688.2022.01764
10.1109/cvpr52688.2022.01764 · External reference
MissModal: Increasing robustness to missing modality in multimodal sentiment analysis
10.1162/tacl_a_00628 · 2023 · External reference
10.1109/iccv51701.2025.02231
10.1109/iccv51701.2025.02231 · External reference
10.1109/iccv51701.2025.02272
10.1109/iccv51701.2025.02272 · External reference
10.18653/v1/2025.emnlp-main.1084
10.18653/v1/2025.emnlp-main.1084 · External reference
10.18653/v1/2025.findings-emnlp.689
10.18653/v1/2025.findings-emnlp.689 · External reference
Disaster assessment from social media using multimodal deep learning
10.1007/s11042-024-19818-0 · 2025 · External reference
Unresolved reference
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Unresolved reference
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Crisis-DIAS: Towards multimodal damage analysis—deployment, challenges and assessment
2020 · External reference
10.3390/ijgi10100636
10.3390/ijgi10100636 · External reference
10.21203/rs.3.rs-1033015/v1
10.21203/rs.3.rs-1033015/v1 · External reference
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
10.1007/s00521-022-07790-5 · 2023 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
ViLBERT: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
2019 · External reference
Unresolved reference
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Unresolved reference
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Unresolved reference
External reference
10.18653/v1/n19-1423
10.18653/v1/n19-1423 · External reference
Unresolved reference
External reference
10.18653/v1/2020.emnlp-demos.2
10.18653/v1/2020.emnlp-demos.2 · External reference
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
10.1016/j.eswa.2024.125337 · 2025 · External reference
CrisisKAN: Knowledge-infused and explainable multimodal attention network for crisis event classification
2024 · External reference
10.1007/978-3-319-46723-8_54
10.1007/978-3-319-46723-8_54 · External reference
10.1109/cvpr52729.2023.01524
10.1109/cvpr52729.2023.01524 · External reference
Unresolved reference
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Attention is all you need
2017 · External reference
Unresolved reference
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Can you trust your model’s uncertainty? Evaluating predictive uncertainty under dataset shift
2019 · External reference
Unresolved reference
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Simple and scalable predictive uncertainty estimation using deep ensembles
2017 · External reference
Unresolved reference
External reference
Cross-modal representation flattening for multi-modal domain generalization
10.52202/079017-2133 · 2024 · External reference
Unresolved reference
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Unresolved reference
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Unresolved reference
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10.1109/cvpr.2019.00949
10.1109/cvpr.2019.00949 · External reference
10.1007/978-3-319-46723-8_54
10.1007/978-3-319-46723-8_54 · ExternalCitation · doi-reference
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
10.1007/s00521-022-07790-5 · ExternalCitation · doi-reference
Disaster assessment from social media using multimodal deep learning
10.1007/s11042-024-19818-0 · ExternalCitation · doi-reference
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
10.1016/j.eswa.2024.125337 · ExternalCitation · doi-reference
Crossmodal bipolar attention for multimodal classification on social media
10.1016/j.neucom.2022.09.140 · ExternalCitation · doi-reference
Categorizing crises from social media feeds via multimodal channel attention
10.1109/access.2023.3294474 · ExternalCitation · doi-reference
MKAN-Refine: Fine-grained crisis information mining via reliability-aware nonlinear refinement and Kolmogorov–Arnold networks
10.1109/access.2026.3688494 · ExternalCitation · doi-reference
10.1109/cvpr.2019.00949
10.1109/cvpr.2019.00949 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.01469
10.1109/cvpr42600.2020.01469 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01764
10.1109/cvpr52688.2022.01764 · ExternalCitation · doi-reference
10.1109/cvpr52729.2023.01524
10.1109/cvpr52729.2023.01524 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.02231
10.1109/iccv51701.2025.02231 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.02272
10.1109/iccv51701.2025.02272 · ExternalCitation · doi-reference
ModDrop: Adaptive multi-modal gesture recognition
10.1109/tpami.2015.2461544 · ExternalCitation · doi-reference
10.1145/3589334.3648143
10.1145/3589334.3648143 · ExternalCitation · doi-reference
MissModal: Increasing robustness to missing modality in multimodal sentiment analysis
10.1162/tacl_a_00628 · ExternalCitation · doi-reference
HumAID: Human-annotated disaster incidents data from Twitter with deep learning benchmarks
10.1609/icwsm.v15i1.18116 · ExternalCitation · doi-reference
10.18653/v1/2020.emnlp-demos.2
10.18653/v1/2020.emnlp-demos.2 · ExternalCitation · doi-reference
10.18653/v1/2023.emnlp-main.471
10.18653/v1/2023.emnlp-main.471 · ExternalCitation · doi-reference
10.18653/v1/2025.emnlp-main.1084
10.18653/v1/2025.emnlp-main.1084 · ExternalCitation · doi-reference
10.18653/v1/2025.findings-emnlp.689
10.18653/v1/2025.findings-emnlp.689 · ExternalCitation · doi-reference
10.18653/v1/n19-1423
10.18653/v1/n19-1423 · ExternalCitation · doi-reference
10.21203/rs.3.rs-1033015/v1
10.21203/rs.3.rs-1033015/v1 · ExternalCitation · doi-reference
10.3390/app15158758
10.3390/app15158758 · ExternalCitation · doi-reference
10.3390/ijgi10100636
10.3390/ijgi10100636 · ExternalCitation · doi-reference
Cross-modal representation flattening for multi-modal domain generalization
10.52202/079017-2133 · ExternalCitation · doi-reference
