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

The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

Manually annotating object bounding boxes is central to building computer vision datasets,
and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box …

We present a single-shot, bottom-up approach for whole image parsing. Whole image
parsing, also known as Panoptic Segmentation, generalizes the tasks of semantic …

We propose a novel automatic salient object segmentation algorithm which integrates both
bottom-up salient stimuli and object-level shape prior, ie, a salient object has a well-defined …

Fine-grained categorization, which aims to distinguish subordinate-level categories such as
bird species or dog breeds, is an extremely challenging task. This is due to two main issues …

We introduce an approach for selecting objects in neural volumetric 3D representations,
such as multi-plane images (MPI) and neural radiance fields (NeRF). Our approach takes a …

Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …

In this paper we introduce a new shape constraint for interactive image segmentation. It is an
extension of Veksler's star-convexity prior, in two ways: from a single star to multiple stars …

摘要鉴于图割的理论意义和实际应用价值, 系统综述了基于图割的图像分割方法. 首先,
深入分析了基于图割的图像分割方法的基本原理, 主要从定性和定量角度剖析了图割与能量函数 …