Incorporating conversational context and knowledge into dialogue generat...
Recently, long-tailed image classification harvests lots of research
att...
Graph contrastive learning (GCL) emerges as the most representative appr...
Point cloud completion concerns to predict missing part for incomplete 3...
Most existing point cloud completion methods suffered from discrete natu...
Generative Adversarial Networks (GANs) have made a dramatic leap in
high...
Point cloud completion aims to predict a complete shape in high accuracy...
By considering the spatial correspondence, dense self-supervised
represe...
Deep learning methods have achieved excellent performance in pose estima...
Image matting refers to the estimation of the opacity of foreground obje...
In this paper, we present a novel unpaired point cloud completion networ...
Recent years have witnessed significant progress in 3D hand mesh recover...
The task of point cloud completion aims to predict the missing part for ...
Visual object tracking aims to estimate the location of an arbitrary tar...
Insufficient labeled training datasets is one of the bottlenecks of 3D h...
Multi-Style Transfer (MST) intents to capture the high-level visual
voca...
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackl...
Multi-armed bandit (MAB) is a class of online learning problems where a
...