38 citations · 50 across the 6 of their papers we have counts for
11 papers
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…
NeuRoRA: Neural Robust Rotation Averaging
Pulak Purkait, Tat-Jun Chin, Ian Reid
Multiple rotation averaging is an essential task for structure from motion, mapping, and robot navigation. The task is to estimate the absolute orientations of several cameras give…
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints
Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait +2
Planar markers are useful in robotics and computer vision for mapping and localisation. Given a detected marker in an image, a frequent task is to estimate the 6DOF pose of the mar…
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…
Morphological Networks for Image De-raining
Ranjan Mondal, Pulak Purkait, Sanchayan Santra +1
Mathematical morphological methods have successfully been applied to filter out (emphasize or remove) different structures of an image. However, it is argued that these methods cou…
Weakly supervised learning of indoor geometry by dual warping
Pulak Purkait, Ujwal Bonde, Christopher Zach
A major element of depth perception and 3D understanding is the ability to predict the 3D layout of a scene and its contained objects for a novel pose. Indoor environments are part…