6 citations · 22 across the 20 of their papers we have counts for
5 papers · 2 filters
Sim2Real for Self-Supervised Monocular Depth and Segmentation
Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava
Image-based learning methods for autonomous vehicle perception tasks require large quantities of labelled, real data in order to properly train without overfitting, which can often…
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron, Punarjay Chakravarty, Tom Roussel +1
The estimation of the orientation of an observed vehicle relative to an Autonomous Vehicle (AV) from monocular camera data is an important building block in estimating its 6 DoF po…
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection
Shubham Shrivastava, Punarjay Chakravarty
We introduce a method for 3D object detection using a single monocular image. Starting from a synthetic dataset, we pre-train an RGB-to-Depth Auto-Encoder (AE). The embedding learn…
Deflating Dataset Bias Using Synthetic Data Augmentation
Nikita Jaipuria, Xianling Zhang, Rohan Bhasin +5
Deep Learning has seen an unprecedented increase in vision applications since the publication of large-scale object recognition datasets and introduction of scalable compute hardwa…
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Tom Roussel, Punarjay Chakravarty, Gaurav Pandey +2
We describe a Deep-Geometric Localizer that is able to estimate the full 6 Degree of Freedom (DoF) global pose of the camera from a single image in a previously mapped environment.…