In this supplementary material we first (Section 2) describe the details of a variant of scene carving (Sc. Carve-D.) not fully described in the paper but mentioned in Sect. 5.2 and Fig. 8(f) and Fig. 8(g). This algorithm aims to minimize the visible distortion in the next image, in contrast to the scene carving algorithm (Sc. Carve) we present in the paper in which the distortion in the backgr...

Understanding indoor scene structure from a single RGB image is useful for a wide variety of applications ranging from the editing of scenes to the mining of statistics about space utilization. Most efforts in scene understanding focus on extraction of either dense information such as pixel-level depth or semantic labels, or very sparse information such as bounding boxes obtained through object...

background and aim : the hearing loss and acoustic feedback signal in the binaural hearing aids may annoy users, make speech reorganization difficult, and affect the sound quality. this paper presents a new method for acoustic feedback suppression in binaural hearing aids, based on the combination of binaural information and blind source separation. this method can enhance sound from the specif...

Classifying multi-temporal scene land-use categories and detecting their semantic scene-level changes for imagery covering urban regions could straightly reflect the transitions. Existing methods change detection rarely focus on temporal correlation of bi-temporal features, are mainly evaluated small scale datasets. In this work, we proposed a CorrFusion module that fuses highly correlated comp...