Antonio Torralba

TL;DR: ActionSense as discussed by the authors is a multimodal dataset and recording framework with an emphasis on wearable sensing in a kitchen environment, which provides rich, synchronized data streams along with ground truth data to facilitate learning pipelines that could extract insights about how humans interact with the physical world during activities of daily living, and help lead to more capable and collaborative robot assistants.

TL;DR: In this article, the authors identify a group of interpretable units that are closely related to concepts with a segmentation-based network dissection method, and examine the contextual relationship between these units and their surrounding by inserting the discovered concepts into new images.

TL;DR: What success means from both sides of a collaboration is considered and perspectives on how to approach the opportunities and challenges that come with achieving success are offered.

TL;DR: The ten papers in this special section as mentioned in this paper focus on applications of probabilistic graphical models in all areas of computer vision, including image classification, classification, and image segmentation.

TL;DR: A large number of workers saw array of images with a category name and definition and found the image that matches the definition (4AFC) to be the best out of a set of 20 images.