4 citations · 7 across the 2 of their papers we have counts for
3 papers
Batch norm with entropic regularization turns deterministic autoencoders into generative models
Amur Ghose, Abdullah Rashwan, Pascal Poupart
The variational autoencoder is a well defined deep generative model that utilizes an encoder-decoder framework where an encoding neural network outputs a non-deterministic code for…
MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection
Abdullah Rashwan, Rishav Agarwal, Agastya Kalra +1
We present MatrixNets (xNets), a new deep architecture for object detection. xNets map objects with similar sizes and aspect ratios into many specialized layers, allowing xNets to…
Matrix Nets: A New Deep Architecture for Object Detection
Abdullah Rashwan, Agastya Kalra, Pascal Poupart
We present Matrix Nets (xNets), a new deep architecture for object detection. xNets map objects with different sizes and aspect ratios into layers where the sizes and the aspect ra…