Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov, Doruk Oner, Jonathan Donier, Hieu Le, Pascal FuaInternational Conference on Machine Learning (ICML), 2024
Publications
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal FuaTransactions on Machine Learning Research (TMLR), 2024
Neural Surface Detection for Unsigned Distance Fields
Federico Stella, Nicolas Talabot, Hieu Le, Pascal FuaEuropean Conference on Computer Vision (ECCV), 2024
Garment Recovery with Shape and Deformation Priors
Ren Li, Corentin Dumery, Benoit Guillard, Pascal FuaConference on Computer Vision and Pattern Recognition (CVPR), 2024
DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization
Zhen Wei, Edouard Dufour, Colin Pelletier, Pascal Fua, Michaël BauerheimDeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization
Zhen Wei, Aobo Yang, Jichao Li, Michaël Bauerheim, Rhea Patricia Liem, Pascal FuaLatent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics
Zhen Wei, Benoît Guillard, Pascal Fua, Vincent Chapin, Michaël BauerheimISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
Ren Li, Benoit Guillard, Pascal FuaAdvances in Neural Information Processing Systems (NIPS), 2023
Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning
Zhen Wei, Pascal Fua, Michaël BauerheimGECCO: Geometrically-Conditioned Point Diffusion Models
Michał J. Tyszkiewicz (EPFL), Pascal Fua (EPFL), Eduard Trulls (Google)International Conference on Computer Vision (ICCV), 2023
DrapeNet: Garment Generation and Self-Supervised Draping
Luca De Luigi*, Ren Li*, Benoit Guillard, Mathieu Salzmann, Pascal FuaConference on Computer Vision and Pattern Recognition (CVPR), 2023
Long Term Motion Prediction Using Keyposes
Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal FuaInternational Conference on 3D Vision (3DV), 2022
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Weizhe Liu, Nikita Durasov, Pascal FuaConference on Computer Vision and Pattern Recognition (CVPR), 2022
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal FuaInternational Conference on 3D Vision (3DV), 2022
Adjusting The Ground Truth Annotations for Connectivity-Based Learning to Delineate
Doruk Oner, Leonardo Citraro, Mateusz Kozinski, Pascal FuaIEEE Transactions on Medical Imaging, 2022
Masksembles for Uncertainty Estimation
Nikita Durasov, Timur Bagautdinov, Pierre Baque, Pascal FuaConference on Computer Vision and Pattern Recognition (CVPR), 2021
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
Doruk Oner Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra G. Konings, Pascal FuaIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
Jan Bednarik, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam AigermanInternational Conference on Computer Vision (ICCV), 2021