Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23
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Updated
Dec 13, 2023 - Python
Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23
A comprehensive review of techniques to address the missing-modality problem for medical images
[Paper][ISWC 2023] Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
[Paper][COLING 2025] Noise-powered Multi-modal Knowledge Graph Representation Framework
[AAAI 2023 Oral] Official pytorch implementation of "Towards Good Practices for Missing Modality Robust Action Recognition"
[MIDL 2023] MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
Official PyTorch Implementation of ModDrop++ [MICCAI 2022 (early accept)]. A simple yet effective approach to tackle missing-modality problem for multi-modality medical imaging data.
[MICCAI 26 Oral, Top 2.2% of Submissions] Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data
Multimodal Representation Learning under Imperfect Data Conditions: A Survey
When Iteration Cannot Help: Single-Pass Missing-Modality MRI Synthesis and What Actually Limits It. Official code for PRIMED (WACV 2027)
public repository of our work in multi-modal co-learning for missing modality with EO data
2nd place solution for AI4EO MapYourCity Challenge: https://platform.ai4eo.eu/map-your-city
Annotation-driven asymmetric cross-modal attention for robust multimodal sentiment analysis — text-anchored fusion with missing-modality robustness (Information Fusion, Elsevier)
Robust camera-radar-LiDAR-GPS fusion for millimeter-wave beam prediction under missing sensor inputs.
Implementation of my Master's thesis "Analyzing Network Architectures and Feature Recovery Methods for Missing Modality Scenarios in Multi-modal Medical Segmentation"
AVAIL-AI · availability-aware ML for incomplete multimodal clinical data · pip install avail-omics · web platform + bring-your-own-compute
Summer Research Internship Project made by Jyotirmoy Konwar using (Dr. Debasis Das and Mr. Ayanabha Ghosh(Chad))
Interpretable, cell-resolved virtual tissue from incomplete spatial multi-omics: one model over H&E, Visium and PhenoCycler that works with whichever modalities exist and reports its uncertainty. Unaite Fellowship for AI in Biology, 2026-27.
Missing-modality robust pathology-conditioned routing for multi-sequence cardiac CMR segmentation
[MM 2026] Official implementation of MRAF: Missing-Token Prompted Reliability-Aware Fusion for Robust Polyglot Speaker Identification.
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