Enabling robots to understand language instructions and react accordingl...
Liquid perception is critical for robotic pouring tasks. It usually requ...
Multimodal summarization usually suffers from the problem that the
contr...
Most existing works solving Room-to-Room VLN problem only utilize RGB im...
Solving partial differential equations is difficult. Recently proposed n...
Role-oriented dialogue summarization is to generate summaries for differ...
This paper studies the task of any objects grasping from the known categ...
In this paper, we are interested in the problem of generating target gra...
Temporal point process as the stochastic process on continuous domain of...
Accuracy, Robustness to noises and scales,
Interpretability, Speed, and ...
Dialogue summarization has drawn much attention recently. Especially in ...
Spoken Language Understanding (SLU) is one essential step in building a
...
We propose a method of Category-level 6D Object Pose and Size Estimation...
Recent years have witnessed great success in handling node classificatio...
Deep learning on graphs has recently achieved remarkable success on a va...
Spatio-temporal prediction is challenging attributing to the high
nonlin...
Convolution and pooling are the key operations to learn hierarchical
rep...
Data clustering with uneven distribution in high level noise is challeng...
Pose transfer has been studied for decades, in which the pose of a sourc...
It is an active topic to investigate the schemes based on machine learni...