A5059033150- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Topic Modeling
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Advanced Chemical Sensor Technologies
- Culinary Culture and Tourism
- Neural Networks and Applications
- Recommender Systems and Techniques
- Domain Adaptation and Few-Shot Learning
- Image Retrieval and Classification Techniques
- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- Nutritional Studies and Diet
- Financial Distress and Bankruptcy Prediction
- Caching and Content Delivery
- IoT-based Smart Home Systems
- Time Series Analysis and Forecasting
- Speech and dialogue systems
- Natural Language Processing Techniques
- Traffic Prediction and Management Techniques
- Sentiment Analysis and Opinion Mining
Dublin City University
2023-2024
Vietnam National University Ho Chi Minh City
2021
The advent of large language models (LLMs) has energised research in Question-Answering (QA) tasks, enabling responses across varied domains like economics and mathematics. Despite their capabilities, LLMs often lack explainability due to complex parameter embeddings. Additionally, integrating multimedia data into QA systems introduces challenges processing interpreting diverse types such as text, images, audio, video. This necessitates sophisticated algorithms for accurate information...
Lifelogging is an activity of recording all events that happen in the daily life individual. The can contain images, audio, health index, etc which are collected through various devices such as wearable cameras, smartwatches, and other digital services. Exploiting lifelog data bring significant benefits for lifeloggers from creating personalized healthcare plans to retrieving past. In recent years, there has been a growing development interactive retrieval systems, competitors at annual...
Lifelog retrieval plays an important role in memory support for lifeloggers. It helps the lifeloggers to browse, search and navigate their life moments from lifelog data. However, volume variety of data are enormous range multiple modalities so they impose a big challenge retrieve accurate moments. The Search Challenges (LSCs) benchmark evaluating systems different tasks. In this paper, we introduce MemoriEase 2.0 system that participates LSC'24. This not only inherits core functions...
In food recommendation systems, users can use mobile devices to capture images of the dishes they eat. The types in will be automatically recognized and input system suggest other which likely enjoy. Food image recognition is therefore an essential part system. This used a hard problem computer vision as many foods are very similar color texture. Thanks development artificial intelligent especially deep learning techniques, it much easier build program recognize type image. paper examines...
Lifelogging is the process of automatically logging data about an individual's daily life, which can then be used in various domains, such as behavior analysis and health monitoring. Various technological devices, including wearable cameras smartwatches, help record lifelog data, but getting access to has proven difficult recent years, due a lack devices on market. Creating camera that not only easy use cost-efficient also provides comprehensive functions log all images life challenging...
Diacritic restoration is a challenging problem in natural language processing (NLP). With diacritic restoration, one can text faster and easier. also helpful making use of diacritic-missing texts, which are normally discarded many NLP applications. This paper deals with the for Vietnamese text. Three state- of-the-art deep learning models including Gated Recurrent Unit, Bidirectional Long-short Term Memory Unit have been examined last turned out to be best among them. Besides models, it was...