A5047795765- Nutritional Studies and Diet
- Machine Learning in Healthcare
- Image Processing Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Advanced Vision and Imaging
- Advanced Chemical Sensor Technologies
- Image Enhancement Techniques
- 3D Shape Modeling and Analysis
- Artificial Intelligence in Healthcare
- Culinary Culture and Tourism
- Context-Aware Activity Recognition Systems
- Medical Image Segmentation Techniques
- Anatomy and Medical Technology
- Radiomics and Machine Learning in Medical Imaging
University of Oxford
2023-2024
Imperial College London
2022-2023
Accurate depth estimation under adverse night conditions has practical impact and applications, such as on autonomous driving rescue robots. In this work, we studied monocular at time in which various weather, light, different road exist, with data captured both RGB event modalities. Event camera can better capture intensity changes by virtue of its high dynamic range (HDR), is particularly suitable to be applied the amount light limited scene. Although retain visual perception that...
Food recommendation system has proven as an effective technology to provide guidance on dietary choices, and this is especially important for patients suffering from chronic diseases. Unlike other multimedia recommendations, such books movies, food task highly relied the context at moment, since users' preference can be dynamic over time. For example, individuals tend eat more calories earlier in day a little less dinner. However, there are still limited research works trying incorporate...
In our recent dietary assessment field studies on passive monitoring in Ghana, we have collected over 250k in-the-wild images. The dataset is an ongoing effort to facilitate accurate measurement of individual food and nutrient intake low middle income countries with camera technologies. current involves 20 households (74 subjects) from both the rural urban regions two different types wearable cameras were used studies. Once initiated, continuously capture subjects' activities, which yield...
Accurate depth estimation under adverse night conditions has practical impact and applications, such as on autonomous driving rescue robots. In this work, we studied monocular at time in which various weather, light, different road exist, with data captured both RGB event modalities. Event camera can better capture intensity changes by virtue of its high dynamic range (HDR), is particularly suitable to be applied the amount light limited scene. Although retain visual perception that...
Large AI models, or foundation are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions. Once pretrained, large demonstrate impressive performance in various downstream tasks. A prime example is ChatGPT, whose capability has compelled people's imagination about far-reaching influence that have their potential to transform different domains our lives. In health informatics, advent brought new paradigms for design...
In our recent dietary assessment field studies on passive monitoring in Ghana, we have collected over 250k in-the-wild images. The dataset is an ongoing effort to facilitate accurate measurement of individual food and nutrient intake low middle income countries with camera technologies. current involves 20 households (74 subjects) from both the rural urban regions two different types wearable cameras were used studies. Once initiated, continuously capture subjects' activities, which yield...