About me
Xuanlong Yu joined Intellindust in Aug 2024 as a technical staff member working with Dr. Xi Shen. Previously, he completed his Ph.D. in 2023 at Université Paris-Saclay and ENSTA Paris, Institut Polytechnique de Paris, France, under the supervision of Prof. Emanuel Aldea and Prof. Gianni Franchi. His research interests lie in AI safety and computer vision applications, specifically uncertainty quantification in deep learning, on-edge models, low-shot learning, multimodal learning and 2D animation video generation.
01/2026 FSOD-VFM for training-free few-shot object detection is accepted at ICLR 2026, thanks to all the co-authors!
07/2025 We took 2nd place 🥈 in the NTIRE Joint Denoising and Demosaicing Challenge, 2nd place 🥈 in the SoccerNet Ball Action Spotting Challenge, and received an honorable mention in the CVPR 2025 Foundation Few-shot Object Detection Challenge.
10/2024 Building on our CVPR work SURE, we won 1st place 🏅 in the Open-set Recognition challenge at the Out Of Distribution Generalization in Computer Vision Workshop, ECCV 2024.
06/2024 CCNet for human pose calibration is accepted at ICML 2024, thanks to all the co-authors!
03/2024 SURE for robust image classification is accepted at CVPR 2024, thanks to all the co-authors!
12/2023 I successfully defended my Ph.D. dissertation "Uncertainty quantification for vision regression tasks" PDF. Thank all the members of the jury, my dear supervisors, colleagues, friends and my parents.
12/2023 DIDO for uncertainty estimation in vision regression is accepted at AAAI 2024, thanks to all the co-authors!
10/2023 InfraParis is accepted as Oral presentation at WACV 2024, thanks to all the co-authors! The dataset contains RGB, Depth and Infrared images captured in the Paris area with manual semantic segmentation annotations. You may find more details from our website.
05/2023 Happy to announce that the MUAD challenge is now on board at UNCV Workshop, ICCV 2023.
05/2023 Honored to give a talk at SCAI, Sorbonne Université on "Towards scalable uncertainty estimation with deterministic methods, and their fair evaluation" PDF.
03/2023 - 04/2023 One-month pleasant visit at Leiden University.
Education
2020-2023 Ph.D. in signal and image processing sciences at Université Paris-Saclay, France
2017-2020 M.Eng. in image processing at Télécom Saint-Etienne, France
2014-2018 B.Eng. in telecommunication engineering at Xidian University, China
Academic services
Reviewer: AAAI (since 2026), CVPR (since 2025), ICCVW, IEEE TPAMI, IEEE TMM
Organizer: MUAD challenge at UNCV workshop, ICCV 2023.