Semantically coherent co-segmentation and reconstruction of dynamic scenes
In this paper we propose a framework for spatially and temporally coherent semantic co-
segmentation and reconstruction of complex dynamic scenes from multiple static or moving …
segmentation and reconstruction of complex dynamic scenes from multiple static or moving …
Hierarchical parsing net: Semantic scene parsing from global scene to objects
This paper proposes a novel Hierarchical Parsing Net (HPN) for semantic scene parsing.
Unlike previous methods, which separately classify each object, HPN leverages global …
Unlike previous methods, which separately classify each object, HPN leverages global …
Jointly learning the attributes and composition of shots for boundary detection in videos
In film making, shot has a profound influence on how the movie content is delivered and how
the audiences are echoed, where different emotions and contents can be delivered through …
the audiences are echoed, where different emotions and contents can be delivered through …
Video object segmentation via global consistency aware query strategy
In this paper, we propose a video object segmentation method via global consistency aware
query strategy. The aim is to obtain higher segmentation accuracy with less user annotation …
query strategy. The aim is to obtain higher segmentation accuracy with less user annotation …
Seeds-based part segmentation by seeds propagation and region convexity decomposition
Object part segmentation is an important and challenging task in computer vision. The
existing supervised part segmentation methods need pixel level training data which leads to …
existing supervised part segmentation methods need pixel level training data which leads to …
Joint graph learning and video segmentation via multiple cues and topology calibration
Video segmentation has become an important and active research area with a large
diversity of proposed approaches. Graph-based methods, enabling top performance on …
diversity of proposed approaches. Graph-based methods, enabling top performance on …
Real-time hierarchical supervoxel segmentation via a minimum spanning tree
Supervoxel segmentation algorithm has been applied as a preprocessing step for many
vision tasks. However, existing supervoxel segmentation algorithms cannot generate …
vision tasks. However, existing supervoxel segmentation algorithms cannot generate …
4D Temporally Coherent Multi-Person Semantic Reconstruction and Segmentation
We introduce the first approach to solve the challenging problem of automatic 4D visual
scene understanding for complex dynamic scenes with multiple interacting people from multi …
scene understanding for complex dynamic scenes with multiple interacting people from multi …
Boosting scene parsing performance via reliable scale prediction
Segmenting objects on suitable scales is a key factor to improve the scene parsing
performance. Existing methods either simply average multi-scale results or predict scales by …
performance. Existing methods either simply average multi-scale results or predict scales by …
Transductive video segmentation on tree-structured model
This paper presents a transductive multicomponent video segmentation algorithm, which is
capable of segmenting the predefined object of interest in the frames of a video sequence …
capable of segmenting the predefined object of interest in the frames of a video sequence …