Room layout estimation predicts layouts from a single panorama. It requi...
Pedestrian trajectory prediction is an essential component in a wide ran...
Semi-supervised domain adaptation (SSDA) is quite a challenging problem
...
Sign language is commonly used by deaf or mute people to communicate but...
Sign language is a visual language that is used by deaf or speech impair...
3D object classification has attracted appealing attentions in academic
...
Job Title Benchmarking (JTB) aims at matching job titles with similar
ex...
Multi-view action recognition (MVAR) leverages complementary temporal
in...
Current adversarial adaptation methods attempt to align the cross-domain...
Multi-view time series classification aims to fuse the distinctive tempo...
Domain Adaptation (DA) approaches achieved significant improvements in a...
Multi-modal human motion analysis is a critical and attractive research
...
One primary focus in multimodal feature extraction is to find the
repres...
Convolutional neural network (CNN) depth is of crucial importance for im...