2 papers
cs.CV2024
SDformer: Efficient End-to-End Transformer for Depth Completion
Jian Qian, Miao Sun, Ashley Lee +3
Depth completion aims to predict dense depth maps with sparse depth measurements from a depth sensor. Currently, Convolutional Neural Network (CNN) based models are the most popula…
cs.CV2018
FotonNet: A HW-Efficient Object Detection System Using 3D-Depth Segmentation and 2D-DNN Classifier
Gurjeet Singh, Sun Miao, Shi Shi +1
Object detection and classification is one of the most important computer vision problems. Ever since the introduction of deep learning \cite{krizhevsky2012imagenet}, we have witne…