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
AHEAD project for PhD call 2020-2025 granted by ANR
GdR ISIS workshop on AI initiatives for COVID-19 diagnosis
March 2020: 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 commitee: "Physical knowlegde in deep learning".
PhD commitee: "Continual learning for image classification".
HDR commitee: "Motion analysis & recognition in videos".
02/12/19: S. Bonnet HDR commitee: "Contributions in biomedical engineering".
29/11/19: Invited talk at
scientific days, Paris 13 Univ.
PhD commitee: "Prior info for medical image segmentation".
PhD commitee: "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 commitee: "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 commitee: "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 commitee: "Tracking and metric learning".
PhD commitee: "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 commitee: "Aging in the visual system & the convis toolbox".
PhD commitee: "Motion analysis in videos".
11/11/18: PhD defense of my student
: "Deep representation spaces".
PhD commitee: "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 commitee: "Context in DL for medical image segmentation".
BLOCK fusion model accepted at AAAI'19
GdR ISIS workshop on machine learning for teledetection
PhD commitee: "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 commitee: "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 commitee: "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 commitee: "Deep Learning for Semantic Segmentation".
PhD commitee: "Gaze-Based Image Classificationn".
PhD commitee: "Transfer Learning for Image Classification".
PhD commitee: 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