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
Home
Teaching
Research
Publications
Miscellaneous
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