
Bio
I am a PhD candidate at EPFL CVLab, under the supervision of Prof. Pascal Fua.
I obtained my Master's degree from Purdue Universty in 2019, and Bachelor's degree from University of Science and Technology of China (USTC) in 2016.
News
Publications

Reconstruction of Manipulated Garment with Guided Deformation Prior

Garment Recovery with Shape and Deformation Priors
CVPR 2024
Ren Li, Corentin Dumery, Benoît Guillard, Pascal Fua

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
NeurIPS 2023
Ren Li, Benoît Guillard, Pascal Fua

DrapeNet: Garment Generation and Self-Supervised Draping
CVPR 2023
Luca De Luigi*, Ren Li*, Benoît Guillard, Mathieu Salzmann, Pascal Fua (* Equal Contribution)

DIG: Draping Implicit Garment over the Human Body
ACCV 2022 (Oral)
Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua

Everybody Is Unique: Towards Unbiased Human Mesh Recovery
BMVC 2021 (Oral)
Ren Li, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu

Learning Local Recurrent Models for Human Mesh Recovery
3DV 2021
Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu

Towards Contactless Patient Positioning
Transactions on Medical Imaging (TMI) 2020
Ren Li*, Fan Yang*, Srikrishna Karanam*, Wei Hu, Terrence Chen, Ziyan Wu (* Equal Contribution)

Hierarchical Kinematic Human Mesh Recovery
ECCV 2020
Georgios Georgakis*, Ren Li*, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu (* Equal Contribution)

Robust Multi-modal 3D Patient Body Modeling
MICCAI 2020
Fan Yang*, Ren Li*, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu (*Equal Contribution)

The Perils and Pitfalls of Block Design for EEG Classification Experiments
TPAMI 2020
Ren Li, Jared S. Johansen, Hamad Ahmed, Thomas V. Ilyevsky, Ronnie B Wilbur, Hari M Bharadwaj, Jeffrey Mark Siskind
