Name: Armen Avetisyan
Position: Ph.D Candidate
E-Mail: a.avetisyan@tum.de
Phone: +49-89-289-18489
Room No: 02.13.040

Bio

I am Armen, I graduated in Mechnical Engineering at the ETH Zurich. Now I am doing research in the Visual Computing Lab at TUM.

My hobby and asset is high performance computing, where I want to squeeze every FPS from a real-time application. Check out my github page.

Research Interest

My research focus lies in 3D Alignment and Object retrieval between Scan and CAD. I would like to build the bridge for synthetic2real translation with Deep Learning.

Publications

2020

SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner
ECCV 2020
We present a novel approach to reconstructing lightweight, CAD-based representations of scanned 3D environments from commodity RGB-D sensors.
[code][bibtex][project page]

2019

RIO: 3D Object Instance Re-Localization in Changing Indoor Environments
Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner
ICCV 2019 (Oral)
In this work, we explore the task of 3D object instance re-localization (RIO): given one or multiple objects in an RGB-D scan, we want to estimate their corresponding 6DoF poses in another 3D scan of the same environment taken at a later point in time.
[video][bibtex][project page]

End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans
Armen Avetisyan, Angela Dai, Matthias Nießner
ICCV 2019
We present a novel, end-to-end approach to align CAD models to an 3D scan of a scene, enabling transformation of a noisy, incomplete 3D scan to a compact, CAD reconstruction with clean, complete object geometry.
[bibtex][project page]

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Angel X. Chang, Manolis Savva, Matthias Nießner
CVPR 2019 (Oral)
We present Scan2CAD, a novel data-driven method that learns to align clean 3D CAD models from a shape database to the noisy and incomplete geometry of a commodity RGB-D scan.
[video][code][bibtex][project page]