Bloodstain pattern analysis plays a crucial role in crime scene
investig...
We introduce Noise2Music, where a series of diffusion models is trained ...
Predicting the future motion of multiple agents is necessary for plannin...
Segmentation algorithms of medical image volumes are widely studied for ...
Recently Transformer and Convolution neural network (CNN) based models h...
Convolutional neural networks (CNN) have shown promising results for
end...
Autonomous vehicles operate in a dynamic environment, where the speed wi...
As Deep Convolutional Neural Networks (DCNNs) have shown robust performa...
Exploration tasks are embedded in many robotics applications, such as se...
This paper presents Navion, an energy-efficient accelerator for
visual-i...
Machine learning plays a critical role in extracting meaningful informat...
This paper presents a programmable, energy-efficient and real-time objec...
State-of-the-art super-resolution (SR) algorithms require significant
co...
In this paper, we study the problem of reproducing the world lighting fr...
In this paper, we show how to efficiently and effectively extract a clas...