Image segmentation refers to the process to divide an image into meaningful non-
overlap** regions according to human perception, which has become a classic topic since …

Abstract Objects often occlude each other in scenes; Inferring their appearance beyond their
visible parts plays an important role in scene understanding, depth estimation, object …

The field-of-view of standard cameras is very small, which is one of the main reasons that
contextual information is not as useful as it should be for object detection. To overcome this …

Common visual recognition tasks such as classification, object detection, and semantic
segmentation are rapidly reaching maturity, and given the recent rate of progress, it is not …

This paper presents a system for image parsing, or labeling each pixel in an image with its
semantic category, aimed at achieving broad coverage across hundreds of object …

Semantic amodal segmentation is a recently proposed extension to instance-aware
segmentation that includes the prediction of the invisible region of each object instance. We …

Constructing Birds-Eye-View (BEV) maps from monocular images is typically a complex
multi-stage process involving the separate vision tasks of ground plane estimation, road …

Abstract We introduce SAIL-VOS (Semantic Amodal Instance Level Video Object
Segmentation), a new dataset aiming to stimulate semantic amodal segmentation research …

This work proposes a method to interpret a scene by assigning a semantic label at every
pixel and inferring the spatial extent of individual object instances together with their …

Scene understanding is an important yet very challenging problem in computer vision. In the
past few years, researchers have taken advantage of the recent diffusion of depth-RGB …