activity
20182022
most citedOptimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction

27 citations · 74 across the 8 of their papers we have counts for

collaborators

11 papers

cs.HC2022★ 5 cited

Mutual Scene Synthesis for Mixed Reality Telepresence

Mohammad Keshavarzi, Michael Zollhoefer, Allen Y. Yang +2

Remote telepresence via next-generation mixed reality platforms can provide higher levels of immersion for computer-mediated communications, allowing participants to engage in a wi…

cs.CV2021

Contextual Scene Augmentation and Synthesis via GSACNet

Mohammad Keshavarzi, Flaviano Christian Reyes, Ritika Shrivastava +3

Indoor scene augmentation has become an emerging topic in the field of computer vision and graphics with applications in augmented and virtual reality. However, current state-of-th…

cs.GR2021

GenFloor: Interactive Generative Space Layout System via Encoded Tree Graphs

Mohammad Keshavarzi, Mohammad Rahmani-Asl

Automated floorplanning or space layout planning has been a long-standing NP-hard problem in the field of computer-aided design, with applications in integrated circuits, architect…

cs.CV2020★ 1 cited

GenScan: A Generative Method for Populating Parametric 3D Scan Datasets

Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas +2

The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To…

cs.GR2020★ 13 cited

SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors

Mohammad Keshavarzi, Aakash Parikh, Xiyu Zhai +3

Spatial computing experiences are constrained by the real-world surroundings of the user. In such experiences, augmenting virtual objects to existing scenes require a contextual ap…

cs.HC2020

SketchOpt: Sketch-based Parametric Model Retrieval for Generative Design

Mohammad Keshavarzi, Clayton Hutson, Chin-Yi Cheng +3

Developing fully parametric building models for performance-based generative design tasks often requires proficiency in many advanced 3D modeling and visual programming, limiting i…