Source code of a sample iOS app for the paper "Automatic Fused Multimodal Deep Learning for Plant Identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2024)
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Updated
Nov 12, 2024 - Swift
Source code of a sample iOS app for the paper "Automatic Fused Multimodal Deep Learning for Plant Identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2024)
Source code for the paper "Automatic Fused Multimodal Deep Learning for Plant Identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2024)
Official implementation of "Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection"
[Research] Multimodal Emotion Recognition for On-device AI
E2E-MFD-OOD
SuperYOLO is accepted by TGRS
This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, DisasterImageNet, and DisasterMultFusionNet, the approach addresses a key gap in Bangla disaster research.
VAPOR: Legged Robot Navigation in Outdoor Vegetation using Offline Reinforcement Learning (ICRA2024)
The code and data for the Paper 'Inferring Climate Change Stances from Multimodal Tweets' accepted by the Short Paper track of SIGIR 2024
Web scraper for Wildberries + simple vectorization/multimodal embedding workflow
We propose Multi-Modal Segmentation TransFormer (MMSFormer) that incorporates a novel fusion strategy to perform multimodal material segmentation.
A Transferability-guided Protein-Ligand Interaction Prediction Method
[FR|EN - Trio] 2023 - 2024 Centrale Méditerranée AI Master | Multimodal retranscription with text, audio and video
Repo for "Centaur: Robust Multimodal Fusion for Human Activity Recognition"
MIntRec: A New Dataset for Multimodal Intent Recognition (ACM MM 2022)
The codebase for our paper on Multi-modal Medical Dialogue Summarization
Repository for context based emotion recognition
[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"
Multimodal sentiment analysis
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