Teaching neural models to generate narrative coherent texts is a critica...
Despite recent progress of pre-trained language models on generating flu...
Controllable text generation is an appealing but challenging task, which...
Impressive milestones have been achieved in text matching by adopting a
...
In this paper, we propose a robust and efficient end-to-end non-local sp...
Single image super resolution aims to enhance image quality with respect...
Abstractive summarization systems aim to produce more coherent and conci...
Automatic argument generation is an appealing but challenging task. In t...
Deep convolutional neural networks (DCNNs) have recently demonstrated
hi...
In this paper, we present a robotic navigation algorithm with natural
la...
Single-image super-resolution is a fundamental task for vision applicati...
In this paper, we present a general learning-based framework to automati...
Human faces are one interesting object class with numerous applications....
We present a novel approach for robust manipulation of high-DOF deformab...
Traditional approaches to interpolating/extrapolating frames in a video
...
The complex physical properties of highly deformable materials like clot...