DNN-based video object detection (VOD) powers autonomous driving and vid...
Adversarial patch attacks that craft the pixels in a confined region of ...
Graph convolutional network (GCN) emerges as a promising direction to le...
The research interest in specialized hardware accelerators for deep neur...
Winograd's minimal filtering algorithm has been widely used in Convoluti...
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
Convolutional Neural Network (CNN) based Deep Learning (DL) has achieved...
The increasing attention on deep learning has tremendously spurred the d...