Common deep learning models for 3D environment perception often use
pill...
Large-scale LiDAR-based point cloud semantic segmentation is a critical ...
Due to the over-parameterization of neural networks, many model compress...
This paper presents an unsupervised approach that leverages raw aerial v...
Reverse engineering CAD models from raw geometry is a classic but strenu...
We introduce a Power-of-Two post-training quantization( PTQ) method for ...
Semantic segmentation of 3D point cloud is an essential task for autonom...
We propose an efficient once-for-all budgeted pruning framework (OFARPru...
In order to deploy deep convolutional neural networks (CNNs) on
resource...
We propose a novel data augmentation method named 'FenceMask' that exhib...
We present a learning-based method for extracting whistles of toothed wh...
Text style transfer is a hot issue in recent natural language
processing...
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphi...