Self-supervised Learning for Single View Depth and Surface Normal Estimation

Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg +1

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera +3

Non-Parametric Priors For Generative Adversarial Networks

Rajhans Singh, Pavan Turaga, Suren Jayasuriya +2

Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction

Chamara Saroj Weerasekera, Ravi Garg, Yasir Latif +1

A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records

Ravi Garg, Shu Dong, Sanjiv Shah +1

Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks

Yasir Latif, Ravi Garg, Michael Milford +1

Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette

Kejie Li, Ravi Garg, Ming Cai +1

The paper introduces an online optimization framework that uses a deep autoencoder to learn latent codes of 3D object shapes and a Gaussian mixture model as a shape prior, jointly…

Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors

Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg +2

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Ravi Garg, Vijay Kumar BG, Gustavo Carneiro +1

Non-linear Dimensionality Regularizer for Solving Inverse Problems

Ravi Garg, Anders Eriksson, Ian Reid

Adaptive Low-Rank Kernel Subspace Clustering

Pan Ji, Ian Reid, Ravi Garg +2