Shaifali Parashar

I am a CNRS Research scientist at LIRIS, INSA-Lyon. Previously, I was a postdoc researcher at CVLAB, EPFL working on 3D computer vision with Prof. Pascal Fua. I received my PhD in Computer Vision at University of Clermont-Auvergne, France. My PhD thesis received the award for best thesis. I was supervised by Prof. Adrien Bartoli and Dr. Daniel Pizarro.

I work on research topics related to 3D Computer Vision with strong interests in 3D reconstruction of deformable objects from RGB cameras and event-based cameras. Recently, I have also gained interest in 3D modeling of deformable objects with application to garment draping and ultrasound simulations.

I review for major omputer vision and machine learning conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, ACCV, 3DV, WACV) and journals (PAMI, IJCV), robotics conference (IROS) and journal (I-RAL) and computer graphics conferences (SIGGRAPH) and journals (TVCG, CGF).

To apply for masters internships, please send me an email with CV and transcripts. I am always looking for good students. For a prospective PhD and postdoc, please send an inquiry via email along with CV and two letters of recommendations.

Email / Scholar / Github / LinkedIn

News

2024: I will be delivering a lecture on 3D reconstruction in Annual Nepal AI School, 2024.
2024: I will be co-organising TradiCV workshop which will be held in conjunction with ECCV 2024.
2024: Best Student Paper award at 3DV 2024.

Projects

2022-2026: RHINO (ANR-JCJC, 310K euros). Focused on 3D reconstruction of Deformable Objects.
2024-2028: GarSeM (ANR-PRC, 290K euros). Focused on Garment Semantics Understanding from images of un-worn clothings.
2024-2025: US-Rec (FIL, 10K euros). Focused on Ultrasound simulation of body organs' deformations.

Supervision

PhD students

2022-2025: Ruochen Chen. PhD student under Project RHINO.
2023-2026: Thuy Tran. PhD student under Project RHINO.

Graduated PhD students

2024: Marie Daubresse-Chasle. Co-supervision with Nicolas Andreff (main). Worked on 3D recostruction of gut.

Graduated Masters students

2024: Blanca Hermosilla. Co-supervision with Adrian Bassarb. Worked on ultrasound simulation of deformable objects.

Thesis Committee

2024: Examinator for Nicola Wilser (University of Haute-Alsace).

Invited Talks

January 2025: Invited talk at Chennai Mathematical Institute, India.
December 2024: Invited talk at Annual Nepal AI School, Kathmandu-Nepal.
December 2024: Invited talk at INRIA, Grenoble.
October 2024: Invited talk at CIRM for Geometry and Computing workshop.
June 2024: Invited talk at ENS Lyon.
September 2022: Seminar at LIRIS, Lyon on September 29, 14h 30. Virtual participation link.
March 2022: Invited talk at the University of Stirling, Scotland.
July 2021: Keynote speech at the virtual winter school on Deformable SLAM hosted by UTS, Australia. Also see the Panel Discussion on future and challenges of SLAM.

Ogranisation Committees

Co-organised TradiCV workshop held in conjunction with ECCV 2024.
In Program Committee for virtual winter school on Deformable SLAM hosted by UTS, Australia.

Teaching

Fall 2022, 2023 [M2 ID3D, M2 DISS]: Introduction to Computer Vision. (40 hours)
Spring 2023,2024 [2nd year engineering students at ECL]: Image generation and processing. (10 hours)

Publications
	A Closed-Form, Pairwise Solution to Local Non-Rigid Structure-from-Motion Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua TPAMI, 2024 Code
	GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping Ruochen Chen, Liming Chen, Shaifali Parashar 3DV, 2024 (Best student paper award) Code / Video
	Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases Jan Bednarik, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman ICCV, 2021 TPAMI, 2025 Code
	Robust Isometric Non-Rigid Structure-from-Motion Shaifali Parashar, Daniel Pizarro and Adrien Bartoli TPAMI, 2021 Code
	DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences Jose Lamarca, Shaifali Parashar, Adrien Bartoli and J. M. M. Montiel TRO, 2020 Code
	GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann and Pascal Fua TPAMI, 2020 Code & Datasets
	Shape Reconstruction by Learning Differentiable Surface Representations Jan Bednarik, Shaifali Parashar, Erhan Gundogdu, Mathieu Salzmann and Pascal Fua CVPR, 2020 Code
	Local Non-Rigid Structure-from-Motion from Diffeomorphic Mappings Shaifali Parashar, Mathieu Salzmann and Pascal Fua CVPR, 2020 Code
	Local Deformable 3D Reconstruction with Cartan's Connections Shaifali Parashar, Daniel Pizarro and Adrien Bartoli TPAMI, 2019 Code
	3DVFX: 3D Video Editing using Non-Rigid Structure-from-Motion Shaifali Parashar and Adrien Bartoli Eurographics (Short papers), 2019 (Oral presentation)
	Self-Calibrating Isometric Non-Rigid Structure-from-Motion Shaifali Parashar, Adrien Bartoli and Daniel Pizarro ECCV, 2018 Code
	Isometric Non-Rigid Shape-from-Motion in Linear Time Shaifali Parashar, Daniel Pizarro and Adrien Bartoli CVPR, 2016 (Oral presentation) Isometric Non-Rigid Shape-from-Motion with Riemannian Geometry in Linear Time Shaifali Parashar, Daniel Pizarro and Adrien Bartoli TPAMI, 2017 Code / Video Lecture and Tutorial on Isometric NRSfM by Paul Gafton during the virtual winter school on deformable SLAM, July 2021.
	As-Rigid-As-Possible Volumetric Shape-From-Template Shaifali Parashar, Daniel Pizarro, Adrien Bartoli and Toby Collins ICCV, 2015 Code / Video