Conservatoire national des arts et métiers
2, rue Conté - Office 33.1.11a
75141 Paris Cedex 03, France
Tel: +33 1 58 80 85 48
e-mail : nicolas.thome at cnam.fr
PhD committee: "Learning sub-grid dynamics in turbulent systems"
PhD committee: "Reinforcement learning for flow control"
PhD committee: "Safety of autonomous systems"
PhD committee: "Depth attention for scene understanding"
17/10/22: PhD defense of my student
: "Content combination in vision". Congrats Rémy!
PhD committee: "Architectures & training for transformers in vision"
HDR committee: "Sustainability in Artificial Intelligence"
on etiological diagnosis of cardiac diseases funded by ANR!
HDR committee: "Image representations: from description to interpretation"
V. Le Guen
ISIS-GRETSI-EEA'22 best PhD award
. Congrats Vincent!
PhD committee: "Deep learning motion estimation in US imaging"
Invited talk at AI OceaniX Chair
V. Le Guen
awarded by the
AFIA'22 PhD prize
(accessit). Congrats Vincent!
PhD committee: "Active and incremental learning"
PhD committee: "Semi-supervised learning for Earth images"
16/03/22: PhD defense of my student
: "Robust deep learning". Congrats Charles!
PhD committee: "Deep learning for SAR imagery"
Paper on time series forecasting
GdR ISIS workshop on frugal learning in medical imaging
R. De Charette
HDR committee: "Vision for scene understanding"
17/12/21: PhD defense of my student
: "Medical image segmentation". Congrats Olivier!
PhD committee: "Material classification based on visual appearance"
PhD committee: "Characterization of spatial-temporal patterns in videos"
PhD committee: "Visual reasoning in deep learning"
PhD committee: "Machine learning for combinatorial optimization"
30/11/21: PhD defense of my student
V. Le Guen
: "Spatio-temporal forecasting". Congrats Vincent!
Paper on augmented physcial model
M. Di Folco
PhD committee: "Manifold learning for cardiac pathology analysis"
GdR ISIS workshop on explainable AI
R. El Jurdi
PhD committee: "Prior-constrained medical image segmentation"
Invited talk at Stanford University
, Fall scientific seminar.
HDR committee: "Contributions to transfer learning"
Paper on robust and decomposable AP
Paper on 3D prior for medical segmentation
on machine learning for SAR imagery funded by ANR!
on AI & physics for probabilistic weather prediction funded by ANR!
08/07/21: Invited talk at
, scientific lab AI seminar.
PhD committee: "Analyzing and Improving Graph Neural Networks"
GdR ISIS workshop on deep learning theory
15/06/21: I will serve as Area Chair for
PhD committee: "Planning & learning for horse racing"
PhD: "3d reconstruction from laparoscopic medical images"
PhD committee: "Sequence metric learning for activity recognition"
Paper on confidence estimation
Paper on organ segmentation with partial labels
PhD committee: "Spatial attention for video understanding"
PhD committee: "Deep learning for semantic edge detection"
GdR ISIS workshop on Explainable AI
24/03/21: I will serve as Area Chair for
PhD committee: "Towards event analysis in time-series data"
GdR ISIS workshop for COVID-19 diagnosis & prognosis
PhD committee: "Machine learning for multiframe optical flow estimation"
Paper on deep-augmented physical model accepted at ICLR'21 (oral)
10/01/21: Diamelex project on similarity learning for melanoma diagnosis funded by ANR!
PhD committee: "Fine-grained action detection with spatio-temporal convnets"
PhD committee: "Deep learning for chairlift scene analysis"
PhD committee: "Solving Jigsaw puzzles with deep learning"
HDR committee: "Machine learning for structured problems"
HDR committee: "Machine learning for time series"
17/11/20: I will serve as Area Chair for
PhD committee: "Acoustic source localization with deep learning"
PhD committee: "Aerial image analysis: application to epidemiology"
Paper on probabilistic time series forecasting accepted at NeurIPS'20
HDR committee: "Machine learning for dynamic information retrieval"
21/07/20: I will serve as Area Chair for
08/07/20: PhD defense of my student
: "Deep multimodal learning for vision & NLP"
AHEAD project kick-off
⟿ checkout available PhD positions!
PhD committee: "Deep inside visual-semantic embeddings"
PhD committee: "Deep learning for seismic data interpretation"
GdR ISIS workshop on self-supervised learning
AHEAD program for PhD call 2020-2025 granted by ANR
GdR ISIS workshop on AI initiatives for COVID-19 diagnosis
17/03/20: I will serve as Area Chair for
Paper on leveraging physics for video prediction accepted at CVPR'20
22-23/02/20: Attending CVPR'20 Area Chair Meeting at San Diego, CA
27/01/20: Invited talk at
, AI seminar, Centrale Supelec.
PhD committee: "Physical knowlegde in deep learning"
PhD committee: "Continual learning for image classification"
HDR committee: "Motion analysis & recognition in videos"
02/12/19: S. Bonnet HDR committee: "Contributions in biomedical engineering"
29/11/19: Invited talk at
scientific days, Paris 13 Univ.
PhD committee: "Prior info for medical image segmentation"
PhD committee: "Vision-based localization with depth prediction"
GdR ISIS workshop on deep learning theory
10/10/19: PhD defense of my student
: "Unsupervised 3d learning"
03/10/19: PhD defense of my student
: "Semi-supervised learning & disentangling"
PhD committee: "Regularization for transfer learning with convnets".
2 papers accepted at NeurIPS'19
GRESTI'19 panel discussion on future of signal processing and AI
July 2019: I will serve as Area Chair for
Paper on 3d disconnected manifold learning accepted at ICCV'19
PhD committee: "Depth estimation from monocolar cameras"
GdR ISIS workshop on detection and segmentation
20/05/19: PhD defense of my student
: "Multi-modal learning & visual reasoning"
10/05/19: Invited talk at
GdR ISIS workshop on weakly supervised learning
18/04/19: Invited talk at
DeepImaging Spring School
HDR committee: "Tracking and metric learning"
PhD committee: "Sequence analysis of software use"
MUREL model for visual reasoning accepted at CVPR'19
ANR Deeplomatics project kick-off metting
11/01/19: Invited talk at
AI & Climate Group
PhD committee: "Aging in the visual system & the convis toolbox"
PhD committee: "Motion analysis in videos".
11/11/18: PhD defense of my student
: "Deep representation spaces"
PhD committee: "Semantics for classification & retrieval"
20/11/18: PhD defense of my student
: "Weak & auxiliary supervision in vision"
19/11/18: PhD defense of my student
: "Optimization and regularization in deep learning"
PhD committee: "Context in DL for medical image segmentation"
BLOCK fusion model accepted at AAAI'19
GdR ISIS workshop on machine learning for teledetection
PhD committee: "Person re-identification in images with deep learning"
GdR ISIS workshop on reasoning for signal and image processing
SHADE regularization paper
ICIP'18 best paper award!
Paper on Primary Multi-Task Learning accepted at NIPS'18
Deeplomatics project funded by ANR!
PhD committee: "real-time polype detection in videos".
Paper on learning with incomplete annotations
9-11/07/18: DeepVision Meeting &
in Reykjavik, Iceland.
HybridNet for semi-supervised learning accepted at ECCV'18
Deformable detection model accepted at IJCV journal
05/07/18: Invited talk at
Image axis annual seminar
26/06/18: My former student
received the best PhD price from
18/06/18: Invited talk at
Medical Computer Vision workshop, CVPR'18
SHADE regularization accepted at ICIP'18 conf.
Cross-modal retrieval paper accepted at SIGIR'18 conf.
GdR ISIS workshop on using semantics for computer vision.
04/04/18: Invited talk at
1st Beyond Gynecologic Surgery (BSG)
14/03/18: SyMIL Model accepted at
IEEE TNNLS journal
Quotient Auto-Encoder accepted at CVPR'18 conf. (spotlight)
PhD committee: "Deep Learning for EEG Analysis".
12-14/02/18: DeepVision Meeting &
in Vancouver, BC.
MOOC on Deep Learing
15/12/17: Negative Evidence Model for WSL accepted at
IEEE T-PAMI journal
PhD committee: "Deep Learning for Semantic Segmentation".
PhD committee: "Gaze-Based Image Classificationn".
PhD committee: "Transfer Learning for Image Classification".
PhD committee: Distributed (Gossip) Machine Learning.
29/09/17: PhD defense of my student
: "Gaze-Based Image Classification".
20/09/17: PhD defense of my student
: "Weak Supervision for Visual Recognition".
Part-based detection paper
BMVC'17 Best Science Paper Award
MUTAN model for VQA accepted at ICCV'17 conf.
06/07/17: Invited talk on multimodal learning at
Gaze WSL model accepted at Pattern Recognition (PR) journal
Part-based deep detection model accepted at BMVC'17 conf. (oral)
WILDCAT model accepted at CVPR'17 conf.
02/01/17: Moving to
Machine Learning Team
as Full Professor
Since january 2017: Full Professor at Cnam
2015: Habilitation to Drive Research (HDR)
2008-2016: Assistant Professor at
2004-2007: PhD Thesis at