The paper investigates tracking multiple zebrafish simuntaniously from two unique camea views, in order to generate 3D trajectories of each zebrafish. In the paper we present our novel zebrafish 3D ...
Abstract: Integration of advanced signal processing, image processing, deep learning, edge computing, and the Internet of Things (IoT) into vehicles allows intelligent automated vehicles to navigate ...
We present our on-line tracking method, which wins the first place award of the NuScenes Tracking Challenge[1], held in the AI Driving Olympics Workshop at NeurIPS 2019. Our technical report is ...
Abstract: Knowledge distillation (KD) possesses immense potential to accelerate the deep neural networks (DNNs) for LiDAR-based 3D detection. However, in most of prevailing approaches, the suboptimal ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results