Few-Shot Segmentation (FSS) aims to segment the novel class images with ...
Few-Shot Segmentation (FSS) is challenging for limited support images an...
Deep metric learning has attracted much attention in recent years, due t...
In this paper, we focus on the problem of applying the transformer struc...
This paper addresses the challenging task of video captioning which aims...
This paper presents a novel method to manipulate the visual appearance (...
In this work, we present a Multi-Channel deep convolutional Pyramid Pers...
In this work, we present a deep convolutional pyramid person matching ne...
In this paper, we propose a novel deep coherence model (DCM) using a
con...
Tensor decomposition is an important technique for capturing the high-or...
Recently, multi-view representation learning has become a rapidly growin...
This work studies the representational mapping across multimodal data su...