Language barriers present a great challenge in our increasingly connecte...
3D object detection in point clouds is a core component for modern robot...
While multi-class 3D detectors are needed in many robotics applications,...
Data processing is an important step in various natural language process...
Pivot-based neural machine translation (NMT) is commonly used in low-res...
Complex natural language applications such as speech translation or pivo...
In autonomous driving, a LiDAR-based object detector should perform reli...
To encourage intra-class compactness and inter-class separability among
...
Prominently used in support vector machines and logistic regressions, ke...
The preprocessing pipelines in Natural Language Processing usually invol...
Reconstructing 3D shapes from single-view images has been a long-standin...
Applications in virtual and augmented reality create a demand for rapid
...
Convolutional neural networks (CNN) are limited by the lack of capabilit...
In this paper, we present a conceptually simple and powerful framework,
...
We introduce Similarity Group Proposal Network (SGPN), a simple and intu...
Recent advances in convolutional neural networks have shown promising re...
Recurrent neural network (RNN), as a powerful contextual dependency mode...
This paper addresses the problem of detecting coherent motions in crowd
...