Nicolas THOME - Professor at Sorbonne University

ISIR Lab - MLIA Team - IUF member

Contact:
4, place Jussieu - Pyramid, office J08
75252 Paris Cedex 05, France
Tel: +33 1 44 27 87 80
e-mail : nicolas.thome at sorbonne-universite.fr

News

01/10/24: overview of my IUF project
25/09/24: 2 papers accepted at NeurIPS'24: [SLATE] - [DiffCut]
12/07/24: Invited talk at ETS Montreal, LIVIA lab: "Safety in AI". [talk]
11/07/24: Pannel discussion at DLMI summer school "challenges for AI to break into clinic"
09/07/24: Lecture talk at summer school on deep learning for medical imaging. [talk]
03/07/24: Improved GNN training paper accepted at TMLR journal. [paper]
01/07/24: Galop paper on prompt learning for VLMs accepted at ECCV'24 conf. [paper]
27/06/24: RODEO mono-team projet (PRME) on surgical robotics funded by ANR!
06/06/24: Nomination at IUF as senior member, fundamental chair (2024-2029)!
28/05/24: PhD defense of my student L. Calem: "Diverse trajectory forecasting". Congrats Laura!
21/05/24: SU cluster PostGenAI@Paris is one of the 9 AI clusters selected in France!
15/05/24: Hybrid physics-informed RL paper accepted at RLC conf. [paper]
06/05/24: N. Painchaud PhD committee: "Deep learning for hypertension in echocardiography"
29/04/24: Invited talk at Meta AI: "Robustness in AI". [talk]
29/04/24: M. Cariel PhD committee: "Generative models for complex visual data"
23/04/24: A. Popescu HDR committee: "Frugal learning & trustworthy multimedia AI"
19/04/24: Y. Zhu PhD committee: "3D human pose estimation for working environment"
20/03/24: PhD defense of my student E. Ramzi: "Robust image retrieval". Congrats Elias!
19/03/24: E. Dadalto PhD committee: "AI reliability through OOD & misclassification detection"
15/03/24: I. Khalfaoui Hassani PhD committee: "Dilated convolution with learnable spacings"
11/03/24: Zero-shot video edition paper accepted at TMLR journal. [paper]-[page]
26/01/24: S. Martin PhD committee: "Variational methods in large-scale imaging"
25/01/24: E. Menier PhD committee: "Deep learning and ROMs for numerical simulations"
15/01/24: MERLIN-seg paper accepted at CVIU journal. [paper]
21/12/23: PhD defense of my student L. Themyr: "3D medical image segmentation". Congrats Loïc!
19/12/23: N. Duchateau HDR committee: "Representation learning in cardiac analysis"
15/12/23: J. Guo PhD committee: "Machine learning in automated 4D flow MRI"
04/12/23: E. Meunier PhD committee: "Unsupervised motion segmentation in videos"
26/10/23: Pannel discussion at transitions journal: reliablility in transportation
17/10/23: Invited talk at Time series & transfer learning workshop. [talk]
10/10/23: A. Heitz PhD committee: "3D semantic segmentation of thoracic structures"
15/09/23: P. Wang PhD committee: "Medical image segmentation under challenging scenarios"
22/08/23: Paper on semi-supervised learning accepted at PR journal. [paper]
20/07/23: Paper on GANs for numerical weather prediction accepted at AIES. [paper]
10/07/23: R. Webster PhD committee: "Utility & privacy in deep image generation"
07/07/23: J. Parekh PhD committee: "Interpretable machine learning for image and audio"
16/06/23: S. Vu HDR committee: "From expert to learner for visual recognition"
24/05/23: Invited talk at ILLS-DATAIA'23 workshop. [talk]
24/04/23: Paper on OOD detection accepted at ICML'23 conf. [paper]
20/04/23: Invited talk at Deep Imaging spring school. [talk]
04/04/23: D. Lohani PhD committee: "Unsupervised deep learning for video anomaly detection"
31/03/23: C. Dancette PhD committee: "Shortcut learning in visual question answering"
30/03/23: G. Heller PhD committee: "Deep learning for smart agriculture"
29/03/23: Q. Bouniot PhD committee: "Few-annotation learning in computer vision"
20/03/23: Invited talk at SCAI-IDS workshop. [talk]
30/01/23: M. Mezghanni PhD committee: "Structural and functional learning for 3D data"
20/01/23: Paper accepted at ICLR'23 conf. [paper]-[demo]
09/12/22: H. Frezat PhD committee: "Learning sub-grid dynamics in turbulent systems"
02/12/22: R. Paris PhD committee: "Reinforcement learning for flow control"
28/11/22: V. Besnier PhD committee: "Safety of autonomous systems"
21/11/22: Z. Wu PhD committee: "Depth attention for scene understanding"
17/10/22: PhD defense of my student R. Sun : "Content combination in vision". Congrats Rémy!
29/09/22: H. Touvron PhD committee: "Architectures & training for transformers in vision"
01/09/22: Moving to Sorbonne University, ISIR Lab MLIA Team as a full professor
04/07/22: 2 papers accepted at ECCV'22 conf. [COMBO]-[HAPPIER]
04/07/22: T. Lampert HDR committee: "Sustainability in Artificial Intelligence"
01/07/22: ORCHID project on etiological diagnosis of cardiac diseases funded by ANR!
24/05/22: C. Kurtz HDR committee: "Image representations: from description to interpretation"
12/05/22: V. Le Guen got the ISIS-GRETSI-EEA'22 best PhD award. Congrats Vincent!
29/04/22: E. Evain PhD committee: "Deep learning motion estimation in US imaging"
20/04/22: Invited talk at AI OceaniX Chair, montly webinar. [talk]
15/04/22: V. Le Guen awarded by the AFIA'22 PhD prize (accessit). Congrats Vincent!
25/03/22: U. Aggarwal PhD committee: "Active and incremental learning"
23/03/22: J. Navarro PhD committee: "Semi-supervised learning for Earth images"
16/03/22: PhD defense of my student C. Corbière : "Robust deep learning". Congrats Charles!
09/03/22: E. Dalsasso PhD committee: "Deep learning for SAR imagery"
16/02/22: Paper on time series forecasting accepted at T-PAMI journal. [paper]
01/02/22: GdR ISIS workshop on frugal learning in medical imaging
25/01/22: R. De Charette HDR committee: "Vision for scene understanding"
17/12/21: PhD defense of my student O. Petit: "Medical image segmentation". Congrats Olivier!
14/12/21: S. Xu PhD committee: "Material classification based on visual appearance"
10/12/21: P. Nguyen PhD committee: "Characterization of spatial-temporal patterns in videos"
09/12/21: C. Kervadec PhD committee: "Visual reasoning in deep learning"
03/12/21: M. Etheve PhD committee: "Machine learning for combinatorial optimization"
30/11/21: PhD defense of my student V. Le Guen: "Spatio-temporal forecasting". Congrats Vincent!
15/11/21: Paper on augmented physcial model accepted at JSTAT journal. [paper]-[code]
10/11/21: M. Di Folco PhD committee: "Manifold learning for cardiac pathology analysis"
11/10/21: GdR ISIS workshop on explainable AI
07/10/21: R. El Jurdi PhD committee: "Prior-constrained medical image segmentation"
04/10/21: Invited talk at Stanford University, Fall scientific seminar. [talk]
01/10/21: S. Ayache HDR committee: "Contributions to transfer learning"
28/09/21: Paper on robust and decomposable AP accepted at NeurIPS'21. [paper]-[code]
07/09/21: Paper on 3D prior for medical segmentation accepted at IJCARS journal. [paper]
26/07/21: ASTRAL project on machine learning for SAR imagery funded by ANR!
12/07/21: POESY project on AI & physics for probabilistic weather prediction funded by ANR!
08/07/21: Invited talk at Imvia Lab, scientific lab AI seminar. [talk]
08/07/21: G. Renton PhD committee: "Analyzing and Improving Graph Neural Networks"
28/06/21: GdR ISIS workshop on deep learning theory
15/06/21: I will serve as Area Chair for ICLR'22
10/06/21: A. Houdayer PhD committee: "Planning & learning for horse racing"
29/05/21: F. Bardozzo PhD: "3d reconstruction from laparoscopic medical images"
28/05/21: P. Compagnon PhD committee: "Sequence metric learning for activity recognition"
20/05/21: Paper on confidence estimation accepted at T-PAMI journal. [paper]
15/05/21: Paper on organ segmentation with partial labels accepted at CMIG journal. [paper]
10/05/21: V. Sydorov PhD committee: "Spatial attention for video understanding"
03/05/21: T. Pham PhD committee: "Deep learning for semantic edge detection"
07/04/21: GdR ISIS workshop on Explainable AI
24/03/21: I will serve as Area Chair for NeurIPS'21
10/03/21: N. Mehrasa PhD committee: "Towards event analysis in time-series data"
25/01/21: GdR ISIS workshop for COVID-19 diagnosis & prognosis
22/01/21: P.Godet PhD committee: "Machine learning for multiframe optical flow estimation"
12/01/21: Paper on deep-augmented physical model accepted at ICLR'21 (oral). [pdf]
10/01/21: Diamelex project on similarity learning for melanoma diagnosis funded by ANR!
18/12/20: P.E. Martin PhD committee: "Fine-grained action detection with spatio-temporal convnets"
17/12/20: H. Alqasir PhD committee: "Deep learning for chairlift scene analysis"
14/12/20: M.M. Paumard PhD committee: "Solving Jigsaw puzzles with deep learning"
11/12/20: R. Hérault HDR committee: "Machine learning for structured problems"
04/12/20: R. Tavenard HDR committee: "Machine learning for time series"
17/11/20: I will serve as Area Chair for ICCV'21
22/10/20: A. Pujol PhD committee: "Acoustic source localization with deep learning"
19/10/20: R. Ratajczak PhD committee: "Aerial image analysis: application to epidemiology"
26/09/20: Paper on probabilistic time series forecasting accepted at NeurIPS'20. [arxiv]
23/09/20: S. Lamprier HDR committee: "Machine learning for dynamic information retrieval"
21/07/20: I will serve as Area Chair for ICLR'21
08/07/20: PhD defense of my student R. Cadene : "Deep multimodal learning for vision & NLP"
18/06/20: AHEAD project kick-off ⟿ checkout available PhD positions! [Subject1] - [Subject2]
12/06/20: M. Engilberge PhD committee: "Deep inside visual-semantic embeddings"
11/06/20: V. Tschannen PhD committee: "Deep learning for seismic data interpretation"
09/06/20: Organizing GdR ISIS workshop on self-supervised learning
27/04/20: AHEAD program for PhD call 2020-2025 granted by ANR
16/04/20: Organizing GdR ISIS workshop on AI initiatives for COVID-19 diagnosis
17/03/20: I will serve as Area Chair for NeurIPS'20
24/02/20: Paper on leveraging physics for video prediction accepted at CVPR'20. [pdf]-code
22-23/02/20: Attending CVPR'20 Area Chair Meeting at San Diego, CA
27/01/20: Invited talk at MICS Lab, AI seminar, Centrale Supelec. [talk]
19/12/19: A. Pajot PhD committee: "Physical knowlegde in deep learning"
17/12/19: A. Dutt PhD committee: "Continual learning for image classification"
06/12/19: R. Péteri HDR committee: "Motion analysis & recognition in videos"
02/12/19: S. Bonnet HDR committee: "Contributions in biomedical engineering"
29/11/19: Invited talk at L2TI Lab scientific days, Paris 13 Univ. [talk]
26/11/19: P.A. Ganaye PhD committee: "Prior info for medical image segmentation"
25/11/19: N. Piasco PhD committee: "Vision-based localization with depth prediction"
17/10/19: Organizing GdR ISIS workshop on deep learning theory
10/10/19: PhD defense of my student E. Mehr : "Unsupervised 3d learning"
03/10/19: PhD defense of my student T. Robert : "Semi-supervised learning & disentangling"
10/09/19: X. Li PhD committee: "Regularization for transfer learning with convnets".
03/09/19: 2 papers accepted at NeurIPS'19 conf. [DILATE] - [ConfidNet]
28/08/19: GRESTI'19 panel discussion on future of signal processing and AI
July 2019: I will serve as Area Chair for CVPR'20
23/07/19: Paper on 3d disconnected manifold learning accepted at ICCV'19 conf. [paper]
24/06/19: C. Pinard PhD committee: "Depth estimation from monocolar cameras"
04/06/19: Organizing GdR ISIS workshop on detection and segmentation
20/05/19: PhD defense of my student H. Ben-Younes : "Multi-modal learning & visual reasoning"
10/05/19: Invited talk at GdR ISIS workshop on weakly supervised learning. [talk]
18/04/19: Invited talk at DeepImaging Spring School, PRISMES LABEX. [talk]
05/04/19: S. Duffner HDR committee: "Tracking and metric learning"
01/04/19: C. Adam PhD committee: "Sequence analysis of software use"
25/02/19: MUREL model for visual reasoning accepted at CVPR'19 conf. [paper]
11/02/19: ANR Deeplomatics project kick-off metting - [talk]
11/01/19: Invited talk at AI & Climate Group, Sorbonne Université. [talk]
18/12/18: J. Huth PhD committee: "Aging in the visual system & the convis toolbox"
17/12/18: K. Blanc PhD committee: "Motion analysis in videos".
11/11/18: PhD defense of my student M. Carvalho : "Deep representation spaces"
27/11/18: M. Bucher PhD committee: "Semantics for classification & retrieval"
20/11/18: PhD defense of my student T. Mordan: "Weak & auxiliary supervision in vision"
19/11/18: PhD defense of my student M. Blot: "Optimization and regularization in deep learning"
12/11/18: R. Trullo PhD committee: "Context in DL for medical image segmentation"
31/10/18: BLOCK fusion model accepted at AAAI'19 conf. [paper]
18/10/18: Organizing GdR ISIS workshop on machine learning for teledetection
12/10/18: Y. Chen PhD committee: "Person re-identification in images with deep learning"
04/10/18: Organizing GdR ISIS workshop on reasoning for signal and image processing
19/09/18: Our SHADE regularization paper received the ICIP'18 best paper award!
05/09/18: Paper on Primary Multi-Task Learning accepted at NIPS'18 conf. [paper]
20/07/18: Deeplomatics project funded by ANR! Deeplomatics website
16/07/18: Q. Angermann PhD committee: "real-time polype detection in videos".
11/07/18: Paper on learning with incomplete annotations accepted at DMLIA-MICCAI'18. [paper]
9-11/07/18: DeepVision Meeting & Canada-France-Iceland Workshop in Reykjavik, Iceland.
07/07/18: HybridNet for semi-supervised learning accepted at ECCV'18 conf. [paper]
06/07/18: Deformable detection model accepted at IJCV journal. online version - [paper]
05/07/18: Invited talk at CRIStAL Lab, Image axis annual seminar. [talk].
26/06/18: My former student T. Durand received the best PhD price from AFRIF!
18/06/18: Invited talk at Medical Computer Vision workshop, CVPR'18. [talk]
04/05/18: SHADE regularization accepted at ICIP'18 conf. [paper]
12/04/18: Cross-modal retrieval paper accepted at SIGIR'18 conf. [paper]
06/04/18: Organizing GdR ISIS workshop on using semantics for computer vision.
04/04/18: Invited talk at 1st Beyond Gynecologic Surgery (BSG) congress. [talk]
14/03/18: SyMIL Model accepted at IEEE TNNLS journal. [paper]
28/02/18: Quotient Auto-Encoder accepted at CVPR'18 conf. (spotlight). [paper]
27/02/18: A. Sors PhD committee: "Deep Learning for EEG Analysis".
12-14/02/18: DeepVision Meeting & Workshop in Vancouver, BC.
08/01/18: My MOOC on Deep Learing is out!
15/12/17: Negative Evidence Model for WSL accepted at IEEE T-PAMI journal. [paper]
12/12/17: D. Fourure PhD committee: "Deep Learning for Semantic Segmentation".
04/12/17: S. Lopez PhD committee: "Gaze-Based Image Classificationn".
09/11/17: Y. Lu PhD committee: "Transfer Learning for Image Classification".
03/10/17: J. Fellus PhD committee: Distributed (Gossip) Machine Learning.
29/09/17: PhD defense of my student X. Wang: "Gaze-Based Image Classification".
20/09/17: PhD defense of my student T. Durand: "Weak Supervision for Visual Recognition".
06/09/17: Our Part-based detection paper won the BMVC'17 Best Science Paper Award!
16/07/17: MUTAN model for VQA accepted at ICCV'17 conf. [paper]
06/07/17: Invited talk on multimodal learning at TIM'17 seminar, DGA. [talk]
02/07/17: Gaze WSL model accepted at Pattern Recognition (PR) journal. [paper]
01/07/17: Part-based deep detection model accepted at BMVC'17 conf. (oral) [paper]
27/02/17: WILDCAT model accepted at CVPR'17 conf. [paper]
02/01/17: Moving to Cnam-CEDRIC, Machine Learning Team as Full Professor

Brief Vitae

2022-: Full Professor at Sorbonne University
Jan. 2017-2022: Full Professor at Cnam
2015: Habilitation to Drive Research (HDR)
2008-2016: Assistant Professor at UPMC/LIP6-MLIA
2004-2007: PhD Thesis at LIRIS