Publications

Computer Science

Comparing Interactive Image Segmentation Models under Different Clicking Procedures

Interactive image segmentation (IIS) methods are usually evaluated in terms of segmentation performance vs. number of clicks (NoC). However, the automatic evaluation depends on a clicking procedure and its relation to the procedure used for training…

Franco Marchesoni-Acland

Image Processing On Line - 2024

Mathematics

A Review of t-SNE

Sangwon Jung, Tristan Dagobert, Jean-Michel Morel, Gabriele Facciolo

Image Processing On Line - 2024

Oceanography

Observations of Shoaling and Breaking Waves in Shallow Water With Different Coherent X-Band Radars

The study analyzes the microwave imaging of shoaling nearshore surface gravity waves during the process of steepening and breaking over two beaches for a wide range of environmental conditions. Data are sourced from two coherent X-band radars,…

Susanne Støle-Hentschel, Patricio A Catalán, Michael Streßer, Jochen Horstmann, Frédéric Dias

IEEE Transactions on Geoscience and Remote Sensing - 2024

Environmental Sciences

Is Intersubjectivity Proven? A Reply to Khrennikov and to QBists

In two recent papers Khrennikov uses what he calls Ozawa’s intersubjectivity theorem to claim that intersubjectivity is necessarily verified in quantum mechanics and to criticize QBism and more generally all interpretations that are perspectival. In…

Hervé Zwirn

International Journal of Theoretical Physics - 2024

Environmental Engineering

Ocean Wave Directional Distribution from GPS Buoy Observations off the West Coast of Ireland: Assessment of a Wavelet-Based Method

Knowledge of the directional distribution of a wave field is crucial for a better understanding of complex air-sea interactions. However, the dynamic and unpredictable nature of ocean waves, combined with the limitations of existing measurement…

Daniel Peláez-Zapata, Vikram Pakrashi, Frédéric Dias

Journal of Atmospheric and Oceanic Technology - 2024

Mathematics

Topological data analysis for unsupervised anomaly detection in time series

In this article, we propose a new algorithm for unsupervised anomaly detection in univariate time series, based on topological data analysis. It relies on delay embeddings and on the extraction of persistent cycles from the 1-dimensional persistent…

Alexandre Bois, Brian Tervil, Laurent Oudre

2024 32nd European Signal Processing Conference (EUSIPCO) - 2024

Life Sciences

New precursors of ill mental health and the “at risk” adolescent brain: Implication for prevention

Jean-Luc Martinot, Marie-Laure Paillere, Alice Chavanne, Eric Artiges

Annales Médico-Psychologiques, Revue Psychiatrique - 2024

Computer Science

Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery

Xavier Bou, Gabriele Facciolo, Rafael Grompone von Gioi, Jean-Michel Morel, Thibaud Ehret

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) - 2024

Mathematics

WSDM 2024 Workshop on Representation Learning & Clustering

Lazhar Labiod, Mohamed Nadif, Aghiles Salah

WSDM '24: The 17th ACM International Conference on Web Search and Data Mining - 2024

Atmospheric and Oceanic Physics

Dynamics of Bubble Plumes Produced by Breaking Waves

Bubble plumes play a significant role in the air-sea interface by influencing processes such as air-sea gas exchange, aerosol production, modulation of oceanic carbon and nutrient cycles, and the vertical structure of the upper ocean. Using acoustic…

Daniel Peláez-Zapata, Vikram Pakrashi, Frédéric Dias

Journal of Physical Oceanography - 2024