Food image recognition is a complex computer vision task, because of the large number of fine-grained food classes. Fine-grained recognition tasks focus on learning subtle discriminative details to distinguish similar classes. In this paper, we ...

An automatic meal recording is one of typical applications of image recognition technology. In fact, some mobile apps on meal recording have been released so far. Most of the apps assume that a user takes a meal photo before start eating. However, this ...

By using semantic segmentation dataset with pixel-wise annotation for training GANs, image generation from a given mask image drawn by a user is possible. However, regarding mask-based food image synthesis, the existing food segmentation datasets have ...

Food plays a central role in agriculture, public wellness, public health, culinary art, and culture. Food-related data is available in varying formats and with different access levels ranging from private datasets to publicly downloadable data. Every ...

In the first part of this talk, I will review the hunt for sensors that started of the field of automated dietary monitoring (ADM) and continues to play a role in shaping current research. Moreover, I will describe the eyeglasses-based sensors that we ...