Pascal Fua
Full Professor
Leads the Computer Vision Laboratory, working on 3D reconstruction, shape modelling, biomedical image analysis and computer-assisted engineering design.
Pascal Fua's lab at EPFL works on 3D vision & neural rendering, medical image analysis and signal processing & information theory. 155 papers since 2023, 72 at top venues, mostly ICCV and CVPR. 16 PhD students. 88 alumni, most often to Google and Invision AI. Applications close .
At a glance
- papers, 2023–2026
- 40/ year
- at T1 venues
- 46%
- PhD students
- 16
- MS students
- 0
- alumni listed
- 88
Papers by yearfrom the lab homepage, 2023–2026
- 27 papers2026 · T1 8 · collecting
- 41 papers2025 · T1 19
- 31 papers2024 · T1 15
- 56 papers2023 · T1 30
T1 venuesOtherVenues: ICCV, CVPR, MICCAI, WACV, ECCV
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering19 papers
- Medical image analysis10 papers
- Signal processing & information theory3 papers
- engineering design0 papers
- biomedical image0 papers
Paper list
From the lab homepage.
202627 papers
- AIAA JournalAerodynamic Shape Design Space Exploration with Deep Latent Diffusion Model (opens in a new tab)
- Machine Vision and ApplicationsAutomated Counting of Stacked Objects in Industrial Inspection (opens in a new tab)
- Advances in Ophthalmology Practice and ResearchBenchmarking large multimodal models for ophthalmic visual question answering with OphthalWeChat (opens in a new tab)
- MICCAI (T1)DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask Diffusion (opens in a new tab)
- Computers and FluidsEmpirical uncertainty quantification in deep learning: Applications to fluid dynamics (opens in a new tab)
- TMLR (T1)End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI
- EGU26, the EGU General AssemblyESFM – A foundation model framework for heterogeneous data integration (opens in a new tab)
- EGU26, the EGU General AssemblyESFM-MoE: Climate-semantic routing for Earth System Foundation Model (ESFM) (opens in a new tab)
- Natural Hazards and Earth System SciencesExploring seismic mass-movement data with anomaly detection and dynamic time warping (opens in a new tab)
- EGU26, the EGU General AssemblyExtending foundation models from weather to climate: challenges and promises (opens in a new tab)
- WACVFastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation (opens in a new tab)
- SIGGRAPH ’26: Special Interest Group on Computer Graphics and Interactive Techniques ConferenceLearning Sewing Patterns via Latent Flow Matching of Implicit Fields (opens in a new tab)
202541 papers
- IEEE Intelligent Vehicles Symposium6Img-to-3D: Few-Image Large-Scale Outdoor Novel View Synthesis (opens in a new tab)
- Annual Conference of the German Association for Pattern RecognitionA Latent Implicit 3D Shape Model for Multiple Levels of Detail (opens in a new tab)
- npj Digital MedicineA multimodal visual–language foundation model for computational ophthalmology (opens in a new tab)
- EuropaceA novel immersive catheter ablation simulator based on individualized 3D MR patients’ heart models improves ablation performance of future electrophysiologists (opens in a new tab)
- ICCV (T1)A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields (opens in a new tab)
- ECCV (T1)Assessing Sample Quality via the Latent Space of Generative Models (opens in a new tab)
- AIAA JournalAutomated Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning (opens in a new tab)
- ECCV (T1)Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier (opens in a new tab)
- ICCV (T1)BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation (opens in a new tab)
- ICCV (T1)Counting Stacked Objects
- 6 Northern Lights Deep Learning ConferenceDeep Active Latent Surfaces for Medical Geometries
- PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFICDeep Learning to Improve the Discovery of Near-earth Asteroids in the Zwicky Transient Facility (opens in a new tab)
202431 papers
- TPAMI (T1)A Closed-Form Pairwise Solution to Local Non-Rigid Structure-from-Motion (opens in a new tab)
- FRONTIERS IN ONCOLOGYAdvancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features (opens in a new tab)
- 35 British Machine Vision ConferenceAttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
- IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPRCLOAF: CoLlisiOn-Aware Human Flow (opens in a new tab)
- —DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization
- TPAMI (T1)DeepMesh: Differentiable Iso-Surface Extraction
- TPAMI (T1)Detecting Road Obstacles by Erasing Them (opens in a new tab)
- BioengineeringDevelopment of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion (opens in a new tab)
- AIAA AVIATION ForumDiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization
- IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPRDvmnet: Computing Relative Pose for Unseen Objects Beyond Hypotheses (opens in a new tab)
- ICML (T1)Enabling Uncertainty Estimation in Iterative Neural Networks
- MICCAI (T1)Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance (opens in a new tab)
202356 papers
- ICCV (T1)3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping (opens in a new tab)
- Nature NeuroscienceAscending neurons convey behavioral state to integrative sensory and action selection brain regions (opens in a new tab)
- WACVAutomated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification (opens in a new tab)
- AIAA Aviation ForumAutomatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning (opens in a new tab)
- ICCV (T1)AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration (opens in a new tab)
- Nature Methods (T1)BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets (opens in a new tab)
- WACVCenter-aware Adversarial Augmentation for Single Domain Generalization (opens in a new tab)
- ICCV (T1)Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation (opens in a new tab)
- CVPR (T1)CLIP the Gap: A Single Domain Generalization Approach for Object Detection (opens in a new tab)
- Computer Physics CommunicationsCoarsest-level improvements in multigrid for lattice QCD on large-scale computers (opens in a new tab)
- Respiratory ResearchDeep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening (opens in a new tab)
- Lung CancerDeep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma (opens in a new tab)
Where alumni went88 listed, 70% to industry
Industry 21Academia 9
Most often to
- Invision AI
- Meta
Also to
- NUS
- Bielefeld University
- Bilkent University
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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