In this paper we demonstrate that context free grammar (CFG) based
metho...
In this paper, we propose a novel approach to convert given speech audio...
The financial sector presents many opportunities to apply various machin...
Previous methods on estimating detailed human depth often require superv...
In this paper, we present a large-scale detailed 3D face dataset, FaceSc...
Building home assistant robots has long been a pursuit for vision and
ro...
Audio-visual learning, aimed at exploiting the relationship between audi...
Fraud detection is extremely critical for e-commerce business. It is the...
Grasping is among the most fundamental and long-lasting problems in robo...
We present FewRel 2.0, a more challenging task to investigate two aspect...
This paper presents a novel end-to-end Learned Point Cloud Geometry
Comp...
We introduce a conceptually simple and effective method to quantify the
...
This paper studies recommender systems with knowledge graphs, which can
...
Policy gradient (PG) methods are a widely used reinforcement learning
me...
This paper presents a novel framework to recover detailed human body sha...
Light-field cameras (LFC) have received increasing attention due to thei...
Recently, progress has been made towards improving relational reasoning ...
Given an arbitrary speech clip and a facial image, talking face generati...
Multi-person pose estimation is fundamental to many computer vision task...
Most language modeling methods rely on large-scale data to statistically...
We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
Sememes are minimum semantic units of concepts in human languages, such ...
Light field records numerous light rays from real-world scene. However,
...
We study how to synthesize novel views of human body from a single image...
Efficient and accurate segmentation of light field is an important task ...
Occlusion is one of the most challenging problems in depth estimation.
P...
This chapter deals with decentralized learning algorithms for in-network...