200 citations · 311 across the 21 of their papers we have counts for
4 papers · 1 filter
SG-VAE: Scene Grammar Variational Autoencoder to generate new indoor scenes
Pulak Purkait, Christopher Zach, Ian Reid
Deep generative models have been used in recent years to learn coherent latent representations in order to synthesize high-quality images. In this work, we propose a neural network…
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
Eskil Jörgensen, Christopher Zach, Fredrik Kahl
Three-dimensional object detection from a single view is a challenging task which, if performed with good accuracy, is an important enabler of low-cost mobile robot perception. Pre…
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions
Pulak Purkait, Christopher Zach, Ian Reid
Semantic segmentation and instance level segmentation made substantial progress in recent years due to the emergence of deep neural networks (DNNs). A number of deep architectures…
Contrastive Learning for Lifted Networks
Christopher Zach, Virginia Estellers
In this work we address supervised learning of neural networks via lifted network formulations. Lifted networks are interesting because they allow training on massively parallel ha…