Program of the next seminar
10:30 - 10:40
Seongro Yoon, Ph.D. student (Inria)
Flash presentation - Comprehensive Emotion Understanding and Applications
Abstract: This presentation marks the beginning of my PhD journey under the 3IA program and introduces the research project I will pursue over the next three years: Comprehensive Emotion Understanding and Applications. The goal of this project is to explore and develop computational approaches for analyzing human emotional and psychological states using artificial intelligence. In particular, the research will investigate how multi-modal signals—such as facial video (computer vision) and physiological responses (e.g., EEG)—can be integrated to enable robust and context-aware emotion recognition. I will outline the motivations behind this work, its potential applications in AI-driven healthcare and human-computer interaction, and the technical roadmap for building models that go beyond surface-level cues to capture the deeper dynamics of human affect.
10:40 - 11:00
Federica Facente, Ph.D. student (Inria)
Multi-stage CNN for fast registration of 3D preoperative CTs to 2D intraoperative X-rays
Abstract: Minimally invasive interventions often rely on live 2D X-rays for image guidance. Yet, anatomical localization and procedural accuracy can be enhanced by spatial alignment of these intraoperative X-rays with 3D preoperative computed tomographies (CTs). This 3D/2D registration problem is typically formulated as pose estimation of the X-ray source relatively to the CT, which is done by simulating synthetic X-rays from 2D projections of CT volumes. However, the optimization-based refinement used by the state-of-the-art deep learning approach takes several seconds, thus exceeding the allowed time budget in live image guidance. We propose LXPose (Live X-ray Pose estimation), a self-supervised multi-stage 3D/2D registration framework for real-time image guidance. LXpose removes the dependency on optimization and leverages a two-stage CNN trained with a projection loss to ensure high accuracy and computational efficiency. Moreover, we apply extensive data augmentation to mitigate the domain gap between simulated and real X-rays. Overall, LXPose yields comparable 2D registration error to the state-of-the-art method, while reducing inference time to 20ms, which demonstrates the potential of LXPose for real-time clinical deployment.
11:00 - 11:20
Vincenzo Marciano, Ph.D. student (EURECOM)
Diffusion-Based Quality Control of Medical Image Segmentations across Multiple Organs
Abstract: Medical image segmentation, powered by deep learning, has revolutionized automated analysis pipelines for large-scale population studies. However, state-of-the-art methods are prone to hallucinations that lead to anatomically implausible segmentations. With manual correction impractical at scale, automated quality control (QC) techniques have emerged to address the challenge. While promising, existing QC methods are designed for handling a single organ, which restricts their generalizability across different applications. To overcome this limitation, we propose no-new Quality Control (nnQC), a robust QC framework based on a diffusion-generative paradigm that self-adapts to any input organ dataset. Central to nnQC is a novel Team of Experts (ToE) architecture, where two specialized experts independently process an image and its predicted segmentation, generating a pair of independent embeddings, or opinions. A weighted conditional module combines the opinions to guide the sampling within a diffusion process, enabling the accurate generation of a spatially-aware pseudo-ground truth (pGT) used to predict QC scores. We evaluated nnQC on seven organs using publicly available datasets. By adapting the network through extracted dataset information, or fingerprints, and leveraging the proposed ToE framework, our results demonstrate that nnQC consistently outperforms state-of-the-art methods across all experiments, including cases where segmentation masks are highly degraded or completely missing, confirming it as a versatile and off-the-shelf QC solution across different organs.
11:20 - 12:00
Open discussion about all the contributions
Event open to 3IA Chairholders and theirs teams, as well as everyone from 3IA consortium interested in AI (mandatory registration, limited seats available).
Got questions? Contact us by email: 3IA.communication@univ-cotedazur.fr.
- Past Seminars (since #46)
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Doctoral & Postdoctoral Seminar #46
Speakers:
- Guillaume Méroué (Inria, Université Côte d'Azur, CNRS, I3S - PhD) | Flash presentation - Neural-based Analogical Reasoning for Link Prediction in Knowledge Graphs
- Clara Thomas (Inria - PhD) | How to reduce the energy consumption of an industrial Pick and Place Robot
- Nicolás Ocampo (Centrum Wiskunde & Informatica - Postdoc) | Where lies Meet Hate : Combating Harmful Misinformation Online
- Past Seminars (from #1 to #45)
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Doctoral & Postdoctoral Seminar #45
Speakers:
- Madina Bekbergenova (Université Côte d'Azur - ICN, PhD) | Flash presentation: MetaboT: AI-based agent for natural language-based interaction with metabolomics knowledge graphs
- Xufeng Zhang (Inria - Team Neo, PhD) | Memory-efficient online caching Policies with regret guarantees
- Cloé Mahé (Université Côte d'Azur, PhD) | First robust census of binary supermassive black holes : Deep Learning techniques applied to the Euclid space mission.
Doctoral & Postdoctoral Seminar #44
Speakers:
- Manasi Kattel (Inria, PhD) | Flash presentation: MRI-Ultrasound Image Registration for Prostate Cancer Care
- Francesco Diana (Inria, PhD) | Attribute Inference Attacks for Federated Regression Tasks
- Alexey Sergeyev (Université Côte d'Azur, Researcher) | Asteroids in the Digital Age: Insights from Modern Sky Surveys
Doctoral & Postdoctoral Seminar #43
Speakers:
- Xufeng Zhang (Inria, PhD) | Flash presentation: Online optimistic caching with switching cost
- Lisa Guzzi (Inria, PhD) | Differentiable Soft Morphological Filters for Improving Arterial Segmentation in Peripheral Artery Disease
- Luc Lehéricy (Université Côte d'Azur, Researcher) | Deconvolution with unknown noise distribution for structured signals
Doctoral & Postdoctoral Seminar #42
Speakers:
- Morgane Fierville (IPMC CNRS - Université Côte d'Azur) | Flash presentation: Spatial transcriptomics of the human lung from health to pathologies
- Davide Adamo (PhD, CEPAM lab / INRIA) | Rethinking Multiple Kernel Learning under the lenses of Variational Inference
- Emmanuel Bouilhol (Postdoc, I3S Université Côte d'Azur) | ECMQuant: Quantitative Analysis of the Tumor Extracellular Matrix in Head and Neck cancer
Doctoral & Postdoctoral Seminar #41
Speakers:
- Seydina Niang (PhD, Université Côte d'Azur / Inria) | Flash presentation: Deep generative models for the joint analysis of networks and continuous
- Greta Damo (PhD, Université Côte d'Azur / Inria) | Detecting and Countering Hate Speech Messages on Social Media
- Benjamin Billot (Researcher, INRIA) | Domain-agnostic segmentation of brain MRI scans
Doctoral & Postdoctoral Seminar #40
Speakers:
- Olivier Bisson (PhD, INRIA) | Flash presentation: Geometry, stratification and applications of structured correlation matrices
- Tomasz Stanczyk (PhD, INRIA) | Temporally Propagated Masks and Bounding Boxes: Combining the Best of Both Worlds for Multi-Object Tracking
- Jean-Pierre Merlet (3IA Chairholder, INRIA) | Solving parametric systems of equations with neural network
Doctoral & Postdoctoral Seminar #39
Speakers:
- Margaux SCHMIED (PhD, UCA) | Flash presentation: Improving assignment problems with costs
- Victor DAVID (Researcher, INRIA) | An Axiomatic Study of the Evaluation of Enthymeme Decoding in Weighted Structured Argumentation
- Rémy SUN (Researcher, INRIA) |
Doctoral & Postdoctoral Seminar #38
Speakers:
- Rafael Silva (PhD, Inria) | Flash presentation: Signal Processing and Artificial Intelligence for Cardiac Monitoring
- Eloise Da Cunha (PhD, UCA) | Speech-Based Detection of Motor and Physical Deficits in the geriatric population
- Valeriia Rezapova (PhD, UCA) | Computational analysis on mature osteoclast transcriptome revealed the existence of 3 osteoclast lineages with different functional, metabolic and regulatory properties
Doctoral & Postdoctoral Seminar #37
Speakers:
- Vincenzo Marciano (PhD, EURECOM) | Flash presentation
- Mariam Grigoryan (PhD, Inria) | Identification of Molecular Patterns for Chemical Safety Assessment
- Mathieu Carrière (Research Scientist, Inria) | Diffeomorphic interpolation for efficient topological optimization
Doctoral & Postdoctoral Seminar #36
Speakers:
- Pierpaolo Goffredo (PhD, CNRS - I3S) | Argument-based Detection and Classification of Fallacies in Political Debates
- Célian Ringwald (PhD, Inria - I3S) | Impact of Syntaxes on Data Extraction with Language Models
Doctoral & Postdoctoral Seminar #35
Speakers:
- Edoardo Sarti (permanent researcher, INRIA) | Spectral partitioning into protein structural domains
- Lucile Sassatelli (full professor, Université Côte d'Azur) | Visual objectification in films as a new AI task
Doctoral & Postdoctoral Seminar #34
Speakers:
- Gonzague Radureau (PhD, OCA) | A new high-performance computation method of the Eddington tensor in radiation hydrodynamics simulation
- Stefan Sarkadi (KCL, INRIA) | Deceptive AI and Society
Doctoral & Postdoctoral Seminar #31
Speakers:
- Ryan Cotsakis (UniCA) | The extremal range: a local statistic for studying spatial extremes
- Sara Frusone (UniCA) | Identifying spatiotemporal dispersion in catheter ablation of persistent atrial fibrillation: a comparative study of machine learning techniques using both real and realistic synthetic multipolar electrograms
Doctoral & Postdoctoral Seminar #30
Speakers:
- Francesco Galati (EURECOM) | A Single Model Strategy for Multi-Domain Cerebrovascular Segmentation
- Luca Calatroni (CNRS, I3S) | Physics-inspired learning for fluctuation-based super-resolution microscopy
Doctoral & Postdoctoral Seminar #29
Speakers:
- Hava Chaptoukaev (EURECOM) | AI for e-health: Stress Identification from Multimodal Data
- Louis Ohl (Inria) | Generalised mutual information (GEMINI) - A constellation of discriminative clustering models
Doctoral & Postdoctoral Seminar #28
Speakers:
- Matej Hladis (UniCA) | Matching receptor to odorant with protein language and graph neural networks
- Elena Di Bernardino (3IA chair, UniCA) | Geometry of excursion sets: a statistical and computational point of view
Doctoral & Postdoctoral Seminar #27
Speakers:
- Faisal Jayousi (CNRS) | Geometric and statistical analysis of the extracellular matrix
- Oualid Zari (EURECOM) | Privacy Attacks in Machine Learning and Defenses
Doctoral & Postdoctoral Seminar #26
Speakers:
- Nissim Maruani (Inria) | VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
- Julien Aubert (CNRS) | On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
Doctoral & Postdoctoral Seminar #25
Speakers:
- Stefano Spaziani (CNRS) | Estimating the functional connectivity in the brain via a multiscale spike-LFP autoregressive model
- Virginia d'Auria (invited researcher) | Quantum information science
Doctoral & Postdoctoral Seminar #24
Speakers:
- Zhijie Fang (Inria) | Landmark detection via convolutional neural network
- Josué Tchouanti (CNRS LJAD) | Detection of neural synchronization and implication for neuroscience experimental design
Doctoral & Postdoctoral Seminar #23
Speakers:
- Thi Khuyen Le (Inria) | Comparison of handcrafted radiomics and 3D-CNN models to diagnose striatal dopamine deficiency in Parkinsonian syndromes based on 18F-FDOPA PET images
- Irene Balelli (external researcher - Inria) | The search for causality in the analysis and modeling of biomedical data
Doctoral & Postdoctoral Seminar #22
Speakers:
- Valerya Strizhkova (Inria) | Multi-View Video Masked Autoencoder for Emotion Recognition
- Lucie Cadorel (invited outside 3IA - I3S & Inria) | Geospatial Knowledge in Real Estate Listings : Extracting and Localizing Uncertain Spatial Information from Text
Doctoral & Postdoctoral Seminar #21
Speakers:
- David Loiseaux (Inria) | Towards multiparameter persistent homology descriptors for machine learning
- Alessandro Betti (Inria) | Deep Learning to See
Doctoral & Postdoctoral Seminar #20
Speakers:
- Yacine Khacef (Université Côte d'Azur) | High-Resolution Traffic Monitoring with Distributed Acoustic Sensing and AI
- Daniel Inzunza (Inria) | A PINN approach for traffic state estimation and model calibration based on loop detector flow data
Doctoral & Postdoctoral Seminar #19
Speakers:
- Lucia Innocenti (Inria) | Analysis of Multi-centric AI-based frame-works in prostate segmentation
- Riccardo Taiello (Inria) | Privacy Preserving Image Registration
Doctoral & Postdoctoral Seminar #18
Speakers:
- Rémi Felin (UCA, I3S) | Optimizing the Computation of a Possibilistic Heuristic to Test OWL 2 SubClassOf Axioms Against RDF Data
- Huiyu Li (Inria, Epione) | Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Doctoral & Postdoctoral Seminar #17
Speakers:
- Benjamin Ocampo (UCA, I3S) | "We Need Two Poke Flutes to Wake You Up'' an In-depth Analysis of Implicit and Subtle Hate Speech Messages
- Tong Zhao (Inria) | Progressive Discrete Domains for Implicit Surface Reconstruction
Doctoral & Postdoctoral Seminar #16
Speakers:
- Prof. Ludovic Dibiaggio | Introduction to the OTESIA institute
- Daniel Inzunza (Inria) | PINNs approach for traffic model calibration
- Angelo Rodio (Inria) | Resource-aware Federated Learning
Doctoral & Postdoctoral Seminar #15
Speakers:
- Andrea Castagnetti (UCA, LEAT) | Neural information coding for efficient spike-based image denoising
- Christos Bountzouklis (UCA, LJAD) | Environmental factors affecting wildfire-burned areas in southeastern France
Doctoral & Postdoctoral Seminar #14
Speakers:
- Antonia Ettorre (UCA, I3S) | A systematic approach to identify the information captured by Knowledge Graph Embeddings
- Victoriya Kashtanova (Inria) | Deep Learning Approach for Cardiac Electrophysiology Modeling
Doctoral & Postdoctoral Seminar #13
Speakers:
- Aude Sportisse (Inria) | Informative labels in Semi-Supervised Learning
- Alexandra Würth (Inria) | Data driven traffic management by Macroscopic models
Doctoral & Postdoctoral Seminar #12
Speakers:
- Hind Dadoun (Inria) | AI-based Real Time Diagnosis of Abdominal Ultrasound Images
- Victor Jung (UCA) | Checking Constraint Satisfaction
Doctoral & Postdoctoral Seminar #11
Speakers:
- Bogdan Kozyrskiy (EURECOM) | Binarization for Optical Processing Units via REINFORCE
- Paul Tourniaire (Inria) | Attention-based Multiple Instance Learning for Histopathology
Doctoral & Postdoctoral Seminar #10
Speakers:
- Etrit Haxholli (Inria) | On the Estimation of Shape Parameters of Tails of Marginal Distributions
- Cedric Vincent-Cuaz (UCA) | Semi-relaxed Gromov-Wasserstein divergence with applications on graphs
Doctoral & Postdoctoral Seminar #9
Speakers:
- Santiago Marro (CNRS) | Natural Language Argumentation Quality Assessment maps
- Artem Muliukov (UCA) | Cortex-inspired multimodal AI approach based on self-organizing
Doctoral & Postdoctoral Seminar #8
Speakers:
- Kristof Huszar (Inria) | Towards Efficient Algorithms in Computational Topology
- Mauro Zucchelli (Inria) | Diffusion MRI based Brain Tissue Microstructure Characterization Using Autoencoder Neural-Networks
Doctoral & Postdoctoral Seminar #7
Speakers:
- Vasiliki Stergiopoulou (CNRS) | COL0RME: Super-Resolution Microscopy Based on the Localization of Sparse Blinking Fluorophores
- Ali Ballout (UCA) | Predicting the Possibilistic Score of Atomic Candidate OWL Axioms
Doctoral & Postdoctoral Seminar #6
Speakers:
- Hugo Schmutz (Inria) | Towards safe deep semi-supervised learning
- Amirhossein Tavakoli (MINES ParisTech) | Hybrid combinatorial optimization and machine learning algorithms for energy-efficient water network
Doctoral & Postdoctoral Seminar #5
Speakers:
- Ayse Unsal (Eurecom) | A Statistical Threshold for Adversarial Classification in Laplace Mechanisms
- Ashwin James (CNRS) | Inference of choice granularity via learning model selection in a cognitive task
Doctoral & Postdoctoral Seminar #4
Speakers:
- Mohsen Tabejamaat (Inria) | Conditional image generation using structural priors
- William Hammersley (UCA) | Randomizing gradient descents on the space of probability measures
- Athanasios Vasileiadis (UCA) | Exploration noise for Mean Field Games
Doctoral & Postdoctoral Seminar #3
Speakers:
- Amar Bouali (3IA Côte d'Azur) | Introduction to the Partnership and Innovation initiatives of 3IA Côte d'Azur
- Antoine Collin (CNRS) | Automatic cell type annotation for cell atlas construction
- Ziming Liu (Inria) | High-resolution Detection Network for Small Objects
Doctoral & Postdoctoral Seminar #2
Speakers:
- Aurélie Delort (3IA Côte d'Azur) | Presentation of the Education & Training program
- Boris Shminke (CNRS) | Using Denoising Autoencoder for Cayley table completion task
- Dingge Liang (Inria) | A Deep Latent Recommender System based on User Ratings and Reviews
- Martijn Van Den Ende (UCA) | Fibre-optics, earthquakes, and a zebra: intelligent signal denoising with Deep Learning
Doctoral & Postdoctoral Seminar #1