18 citations · 73 across the 41 of their papers we have counts for
5 papers · 1 filter
Long-tailed Food Classification
Jiangpeng He, Luotao Lin, Heather Eicher-Miller +1
Food classification serves as the basic step of image-based dietary assessment to predict the types of foods in each input image. However, food image predictions in a real world sc…
Simulating Personal Food Consumption Patterns using a Modified Markov Chain
Xinyue Pan, Jiangpeng He, Andrew Peng +1
Food image classification serves as the foundation of image-based dietary assessment to predict food categories. Since there are many different food classes in real life, conventio…
Towards the Creation of a Nutrition and Food Group Based Image Database
Zeman Shao, Jiangpeng He, Ya-Yuan Yu +4
Food classification is critical to the analysis of nutrients comprising foods reported in dietary assessment. Advances in mobile and wearable sensors, combined with new image based…
Out-Of-Distribution Detection In Unsupervised Continual Learning
Jiangpeng He, Fengqing Zhu
Unsupervised continual learning aims to learn new tasks incrementally without requiring human annotations. However, most existing methods, especially those targeted on image classi…
Exemplar-free Online Continual Learning
Jiangpeng He, Fengqing Zhu
Targeted for real world scenarios, online continual learning aims to learn new tasks from sequentially available data under the condition that each data is observed only once by th…