In this paper, we present a conceptually simple, strong, and efficient framework for panoptic
segmentation, called Panoptic FCN. Our approach aims to represent and predict foreground …

Video instance segmentation (VIS) aims to segment and associate all instances of
predefined classes for each frame in videos. Prior methods usually obtain segmentation for …

In this paper, we present a novel approach to synthesize realistic images based on their
semantic layouts. It hypothesizes that for objects with similar appearance, they share similar …

We introduce a new image segmentation task, called Entity Segmentation (ES), which aims
to segment all visual entities (objects and stuffs) in an image without predicting their …

In instance-level detection tasks (eg, object detection), reducing input resolution is an easy
option to improve runtime efficiency. However, this option severely hurts the detection …

Humans perform co-saliency detection by first summarizing the consensus knowledge in the
whole group and then searching corresponding objects in each image. Previous methods …

Cell segmentation plays a crucial role in understanding, diagnosing, and treating diseases.
Despite the recent success of deep learning-based cell segmentation methods, it remains …

We revisit human motion synthesis, a task useful in various real-world applications, in this
paper. Whereas a number of methods have been developed previously for this task, they are …

In this paper, we present a conceptually simple, strong, and efficient framework for fully-and
weakly-supervised panoptic segmentation, called Panoptic FCN. Our approach aims to …