Shaifali Parashar

According to our database, Shaifali Parashar authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping.

Ruochen Chen, Liming Chen, Shaifali Parashar

CoRR, 2023

2022

Robust Isometric Non-Rigid Structure-From-Motion.

Shaifali Parashar, Daniel Pizarro, Adrien Bartoli

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss.

Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

DefSLAM: Tracking and Mapping of Deforming Scenes From Monocular Sequences.

Jose Lamarca, Shaifali Parashar, Adrien Bartoli, J. M. M. Montiel

IEEE Trans. Robotics, 2021

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases.

Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua

CoRR, 2021

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.

Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Local Deformable 3D Reconstruction with Cartan's Connections.

Shaifali Parashar, Daniel Pizarro, Adrien Bartoli

IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Closed-Form Solution to Local Non-Rigid Structure-from-Motion.

Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua

CoRR, 2020

GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss.

Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

CoRR, 2020

Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings.

Shaifali Parashar, Mathieu Salzmann, Pascal Fua

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Shape Reconstruction by Learning Differentiable Surface Representations.

Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

3DVFX: 3D Video Editing using Non-Rigid Structure-from-Motion.

Shaifali Parashar, Adrien Bartoli

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

2018

Isometric Non-Rigid Shape-from-Motion with Riemannian Geometry Solved in Linear Time.

Shaifali Parashar, Daniel Pizarro, Adrien Bartoli

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Self-Calibrating Isometric Non-Rigid Structure-from-Motion.

Shaifali Parashar, Adrien Bartoli, Daniel Pizarro

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Image-based Deformable 3D Reconstruction using Differential Geometry and Cartan's Connections. (Reconstruction 3D déformable basée sur l'image utilisant la géométrie différentielle et les connexions de Cartan).

Shaifali Parashar

PhD thesis, 2017

2016

Isometric Non-rigid Shape-from-Motion in Linear Time.

Shaifali Parashar, Daniel Pizarro, Adrien Bartoli

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

As-Rigid-as-Possible Volumetric Shape-from-Template.

Shaifali Parashar, Daniel Pizarro, Adrien Bartoli, Toby Collins

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015