| Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | ACASA |
| Publications SYEL | 2023 | 2024 | Total |
|---|---|---|---|
| Books | 0 | 0 | 0 |
| Edited books | 0 | 1 | 1 |
| Journal articles | 1 | 4 | 5 |
| Book chapters | 0 | 0 | 0 |
| Conference papers | 12 | 16 | 28 |
| Habilitations | 0 | 0 | 0 |
| Thesis | 4 | 3 | 7 |
- A. Correia, F. Giasemis, N. Garroum, V. Gligorov, B. Granado : “Graph Neural Network-Based Pipeline for Track Finding in the Velo at LHCb”, Proceedings of the CTD 2023, Toulouse, France, pp. proc-ctd2023-34 [Correia 2024a]
- C. Del cistia Gallimard, K. Nikolajevic, F. Beroul, J. Denoulet, B. Granado, Ch. Marsala : “Direct Load Recognition Application to Main Rotor Pitch-Link Load on the H175 Fleet: A New Wavelet Approach”, Vertical Flight Society, Montréal (Québec), Canada [Del cistia Gallimard 2024]
- V. Enescu, H. Sahbi : “Conditional normalizing flows for nonlinear remote sensing image augmentation and classification”, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, pp. 10264-10268, (IEEE), (ISBN: 979-8-3503-6032-5) [Enescu 2024a]
- V. Enescu, H. Sahbi : “Learning Classwise Untangled Continuums for Conditional Normalizing Flows”, https://link.springer.com/conference/accv (à paraitre), Hanoi, Viet Nam [Enescu 2024b]
- V. Enescu, H. Sahbi : “Learning Conditionally Untangled Latent Spaces using Fixed Point Iteration”, The British Machine Vision Conference (BMVC), Glasgow, United Kingdom [Enescu 2024c]
- M. Jiu, J. Mei, H. Sahbi, X. Jiang, M. Xu : “Sparse Context Transformer for Few-Shot Object Detection”, The International Conference on Artificial Intelligence (PRICAI), Kyoto, Japan [Jiu 2024]
- R. Marsal, F. Chabot, A. Loesch, W. Grolleau, H. Sahbi : “MonoProb: self-supervised monocular depth estimation with interpretable incertainty”, Online proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2024, Waikoloa, HI, United States, pp. 3625-3634, (IEEE), (ISBN: 979-8-3503-1892-0) [Marsal 2024]
- G. Martin, A. Becq, I. Bloch, M. Camus, A. Pinna, J. Szewczyk : “Comparison of Loss Functions for Guidewire Automatic Detection on a Limited Dataset of Fluoroscopic Images for Endoscopic Retrograde Cholangiopancreatography”, 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pp. 1-4, (IEEE) [Martin 2024b]
- J. Masini, F. DESHOURS, G. Alquie, O. Meyer, S. Feruglio, D. Galayko, H. Kokabi : “Optimisation des performances de résonateurs en anneaux fendus complémentaires (CSRRs) pour le diagnostic de l'athérosclérose”, 23ème Journées Nationales Microondes, Antibes - Juan les Pins, France [Masini 2024a]
- J. Masini, F. DESHOURS, G. Alquie, O. Meyer, S. Feruglio, D. Galayko, H. Kokabi, J.‑M. Davaine : “Enhancing Complementary Split Ring Resonators Performance for Atherosclerosis Diagnosis”, The IEEE Biomedical Circuits and Systems Conference (BioCAS), Xi’an, China [Masini 2024b]
- J. Masini, N. Benfaddoul, S. Feruglio, D. Galayko, F. DESHOURS, G. Alquie, O. Meyer, H. Kokabi : “Conception d'un système embarqué pour l'analyse de tissus biologiques spécifiques”, Colloque National du GDR SoC2, Toulouse, France [Masini 2024c]
- J. Quévremont, N. Ventroux, J.‑M. Philippe, S. Jacq, P. Benoit, A. Pinna, S. Pillement : “Impact of the four French RISC-V Contests on Education and Research”, RISC-V Summit Europe 2024, Munich, Germany [Quévremont 2024]
- H. Sahbi : “DAMP: distribution-aware magnitude pruning for budget-sensitive graph convolutional networks”, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, pp. 3070-3074, (IEEE), (ISBN: 979-8-3503-4485-1) [Sahbi 2024a]
- H. Sahbi : “TCMP: end-to-end topologically consistent magnitude pruning for miniaturized graph convolutional networks”, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, pp. 3065-3069, (IEEE), (ISBN: 979-8-3503-4485-1) [Sahbi 2024b]
- W. Wang, S. Li, I. Saliba, A. Hardy, R. VIALLE, J. Denoulet, S. Feruglio : “Optimizing the Monte-Carlo simulation program for NIRS modeling of biological tissues in optoelectronic devices”, 31st IEEE International Conference on Electronics Circuits and Systems, Nancy, France [Wang 2024a]
- W. Wang, S. Li, I. Saliba, J. Denoulet, S. Feruglio : “Outil pour la conception de systèmes NIRS dans les tissus biologiques”, Colloque National du GDR SoC2 2024, Toulouse, France [Wang 2024b]