Véronique Prinet

Associate Professor
Chinese Academy of Sciences, Institute of Automation


Email  /  Google Scholar  /  Linkedin  /  Github

Research interests: vision, perception, machine learning, image and video understanding

My recent research is mainly concerned with deep generative and predictive models from image and video using self-supervised techniques, ie, learning approaches that do not require manual data labelling. In the past, I worked extensively on low-level vision tasks, specifically physics-based models for vision, and graph representation in images.


Multi-modal spatio-temporal meteorological forecasting with deep neural network
Xinbang Zhang, Qizhao Jin, Tingzhao Yu, Shiming Xiang, Qiuming Kuang, Véronique Prinet and Chunhong Pan
ISPRS Journal of Photogrammetry and Remote Sensing 2022, 188, 380-393

Abstract
Urban Scene Based Semantical Modulation for Pedestrian Detection
Hangzhi Jiang, Shengcai Liao, Jinpeng Li, Véronique Prinet, Shiming Xiang and Chunhong Pan
Neurocomputing 2022, 474, 1-12

Abstract
Enhanced Boundary Learning for Glass-like Object Segmentation
Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong, Gaofeng Meng, Véronique Prinet, Lubin Weng, Shiming Xiang and Chunhong Pan
ICCV 2021

Abstract
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction
Shen Fang, Véronique Prinet, Jianlong Chang, Michael Werman, Shiming Xiang and Chunhong Pan
IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2021

Abstract
Decoupled Representation Learning for Skeleton-Based Gesture Recognition
Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang and Chunhong Pan
Computer Vision and Pattern Recognition (CVPR) 2020

Abstract
Progressive Sparse Local Attention for Video Object Detection
Chaoxu Guo, Bin Fan, Jie Gu, Qian Zhang, Shiming Xiang, Véronique Prinet and Chunhong Pan
International Conference in Computer Vision (ICCV) 2019

Abstract
Road Curb Detection and Localization With Monocular Forward-View Vehicle Camera
Stanislav Panev, Francisco Vicente, Fernando De la Torre and Véronique Prinet
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 20(9), Sept. 2019

Abstract
Motion Selective Prediction for Video Frame Synthesis
Véronique Prinet
arxiv:1812.10157, 2018
appeared also in International Conference in Image Processing (ICIP) 2019 (short version) under the title: Domain-Agnostic Video Prediction from Motion Selective Kernels
Project page
3D Road Curb Extraction from Image Sequence for Automobile Parking Assist System
Véronique Prinet, Jinsong Wang, Jongho Lee, David Wettergreen
International Conference in Image Processing (ICIP) 2016
Illuminant Chromaticity from Image Sequences
Véronique Prinet, Dani Lischinski and Michael Werman
International Conference in Computer Vision (ICCV) 2013
Project page
Specular Highlight Enhancement from Video Sequences
Véronique Prinet, Michael Werman and Dani Lischinski
International Conference in Image Processing (ICIP) 2013
Mid-level Features and Spatio-Temporal Context for Activity Recognition
Fei Yuan, Hicchem Sahbi, Véronique Prinet and JinSong Yuan
Pattern Recognition (PR) 2012, 45(12), pp.4182--4191
Subgrid Formulation of Optical Flow for the Study of Turbulent Flow
Cyril Cassisa, Serge Simoens, Véronique Prinet and Liang Shao
Experiments in Fluids (ExpFlu) 2011, 51(6), pp.1739--1754
Spatio-Temporal Interest Points Chain (STIPC) for activity recognition
Fei Yuan, Gui-Song Xia, Hichem Sahbi and Véronique Prinet
Asian Conference on Pattern Recognition (ACPR) 2011
Spatio-temporal Context Kernel for Activity Recognition
Fei Yuan, Hichem Sahbi and Véronique Prinet
Asian Conference on Pattern Recognition (ACPR) 2011
Extended Phase Field Higher-Order Active Contour Models for Networks: Its Application to Road Network Extraction from VHR Satellite Image
Ting Peng, Ian H. Jermyn, Véronique Prinet and Joziane Zerubia
International Journal of Computer Vision (IJCV) 2010, 88(1), pp.111--128
Project page
Towards Optimal Naive Bayes Nearest Neighbour
Régis Behmo, Paul Marcombes, Arnak Dalalyan and Véronique Prinet
European Conference on Computer Vision (ECCV) 2010
Project page
Middle-Level Representation for Human Activities Recognition: the Role of Spatio-temporal Relationships
Fei Yuan, Véronique Prinet and Junsong Yuan
European Computer Vision - Workshop on Human Motion (ECCVW) 2010
Sub-grid physical optical flow for remote sensing of sandstorm
Cyril Cassisa, Serge Simoens and Véronique Prinet, Shao Liang
International Geoscience and Remote Sensing Symposium (IGARSS) 2010
A Robust Framework Based on Phase Field Modeling for Road Network Extraction from VHR Satellite Images
Ting Peng, Ian H. Jermyn, Véronique Prinet and Joziane Zerubia
Chinese Journal of Computers (CJC), 2009
Conditional Mixed-state Model for Structural Change Analysis from VHR Optical Images
Benjamin Belmudez, Véronique Prinet, JianFeng Yao, Patrick Bouthemy and Xavier Descombes
International Geoscience and Remote Sensing Symposium (IGARSS), 2009
Two-frames Optical Flow Formulation in an Unwarped Multiresolution scheme
Cyril Cassisa, Serge Simoens and Véronique Prinet
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP) 2009
Best Paper Honorable Mention
Formulation Physique du Flot Optique pour l'étude de Mouvements Turbulents
Cyril Cassisa, Serge Simoens, Véronique Prinet and Shao Liang
Congrès Francais de Visualisation et de Traitement d'Images en Méanique des Fluides (FLUVISU) 2009
Robust Change Detection in Dense Urban Areas via SVM Classifier
LiangLiang He and Ivan Laptev
Workshop on Urban Remote Sensing (URBAN) 2009
Graph Commute Times for Image Representation
Régis Behmo, Nikos Paragios and Véronique Prinet
Computer Vision and Pattern Recognition (CVPR) 2008
Mixture distributions for weakly supervised classification in remote sensing images
Jean-Baptiste Bordes and Véronique Prinet
British Machine Vision Conference (BMVC) 2008
An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images
Ting Peng, Ian H. Jermyn, Véronique Prinet, and Joziane Zerubia
European Conference on Computer Vision (ECCV) 2008
Incorporating generic and specific prior knowledge in a multi-scale phase field model for road extraction from VHR images
Ting Peng, Ian H. Jermyn, Véronique Prinet, and Joziane Zerubia
IEEE Trans. Geoscience and Remote Sensing Special Issue: Selected Topics in Applied Earth Observations and Remote Sensing , 1(2):139-146, 2008
Extraction of main and secondary roads in VHR images using a higher-order phase field model
Ting Peng, Ian H. Jermyn, Véronique Prinet, and Joziane Zerubia
In Proc. XXI ISPRS Congress, Commission III, 2008
An Application of Graph Commute Times to Image Indexing
Régis Behmo, Nikos Paragios and Véronique Prinet
IEEE International Geoscience Remote Sensing Symposium (IGARSS) 2008
Optical flow estimation in a hybrid multi-resolution MRF framework
Cyril Cassisa, Véronique Prinet, Serge Simoens, Liang Shao and ChengLin Liu
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2008

Automatic change detection from sar images based on fuzzy entropy principle
CH Pan, V. Prinet, Q. Yang and SD Ma
Chinese Journal of Electronics, 16(1):176-81, 2007


A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Image
T. Peng, I. Jermyn, V. Prinet, J. Zerubia and BG Hu
In Proc. British Machine Vision Conference (BMVC) 2007, Warwick, UK


Urban Road Extraction from VHR Images Using a Multiscale Approach and a Phase Field Model of Network Geometry
T. Peng, I. Jermyn, V. Prinet, J. Zerubia and BG Hu
In Proc. 4th IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN) 2007, Paris, France


Computing Invariants for Structural Change Detection in Urban areas
FF Tang and V. Prinet
In Proc. 4th IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN) 2007, Paris, France


Probabilistic Modeling for Structural Change Inference
W. Liu and V. Prinet
In Proc. Asian Conference on Computer Vision (ACCV) 2006, India, and Lecture Notes in Computer Science vol. 3851


MRF Modeling for Optical Flow Computation From Multistructure Objects
V. Prinet, C. Cassisa and FF Tang
In Proc. International Conference on Image Processing (ICIP) 2006, Atlanta, USA


PS InSAR Technique and its Application in Beijing Area
J. Bai and V. Prinet
In Proc. IEEE International GeoscienceRemote Sensing Symposium (IGARSS) 2005 Seoul, Korea


Spatio-temporal prior shape constraint for level set segmentation
T. Bailloeul, V. Prinet, B. Serra, P. Marthon
Proc. Energy Minimisation Methods in Computer Vision and Pattern Recognition (EMMCVPR) 2005, and Lecture Notes in Computer Science (LNCS) 3757 Springer-Verlag Berlin Heidelberg, pp. 503-519
Project page


Urban building land use change mapping from high resolution satellite imagery, active contours and Hough voting
T. Bailloeul, V. Prinet, B. Serra, P. Marthon, P. Chen and H. Zhang
In Proc. International Symposium on Physical Measurements and Signature in Remote Sensing (ISPMSRS) 2005


Digital building map refinement from knowledge-driven active contours and very high resolution optical imagery
T. Bailloeul, V. Prinet, B. Serra, P. Marthon, P. Chen and Haitai Zhang
Geo-information, 6:511-522, 2005
first published In Proc. ISPRS High- Resolution Earth Imaging for Geospatial Information Workshop, 2005, Hannover, Germany


Building change analysis between GIS Data and satellite image
J.H. Duan, V. Prinet and H.Q. Lu
In Proc. IEEE International Geoscience And Remote Sensing Symposium (IGARSS) 2005, Seoul, Korea


Building Detection from High-resolution Satellite Image Using Probability Modeling
W. Liu and V. Prinet
In Proc. IEEE International Geoscience & Remote Sensing Symposium (IGARSS) 2005, Seoul, Korea


A Band-Weighted Landuse Classification Method for Multi-spectral Images
C.H. Pan, G. Wu and V. Prinet
In Proc. International Conference on Computer Vision and Pattern Recognition (CVPR) 2005, SanDiego, USA


Multi-Block PCA Method for Image Change Detection
B. Qiu, V. Prinet, E. Perrier and O. Monga
In Proc. International Conference on Image Analysis and Processing (ICIAP), 2003


Topography retrieval using interferometric synthetic aperture radar technique
F. Wang, V. Prinet and SD Ma
Acta Automatica Sinica, 28(4):527-534, 2002


Stolen from Jon Barron

Short Bio

I am currently a visiting Professor at the Institute of Automation of the Chinese Academy of Sciences. I was an Associate Professor in this same institute from 2000 to 2010, period during which I lead a research team on Image Understanding (RSIU). From 2011 to 2018, I spent eight wonderful years in Israel, at first in the CS departement of the Hebrew University of Jerusalem (HUJI), then at General Motors for a short adventure into the industrial world. I received my B.Sc. in Physics from University Jussieu Paris-VII, M.Sc.A. in Biomedical Engineering from University of Montreal, and Ph.D. in Computer Science from INRIA.

Full CV

pdf

Former Ph.D Students

Former M.Sc Students

Former Post-doctoral Fellows

  • Bo QIU (CASIA), 2003

Former Interns

  • Paul MARCOMBES (with Renaud Keriven, Ecole des Ponts ParisTech), 2010
  • Pascal ZILLE (INSA Rouen), 2010
  • Yves PIRIOU (Supaero), 2008
  • Benjamin BELMUDEZ (with Patrick Bouthemy and Jianfeng Yao, INRIA), 2007
  • Cyril CASSISA (with Shao Liang, INSA and Ecole Centrale Lyon), 2008-2010
  • Jean-Baptiste BORDES (with Henri Maitre, ENST), 2008

Scientific talks

All publics talks

  • Invited Speaker, TCI21 Forum, Climate change and Natural disaster: the role of ICT , Valenciennes France (October 30, 2008)
  • Invited Speaker, TCI21 Forum, ICT and sustainable development: Green cities of China , Valenciennes France (October 30, 2008)

Regular courses

Image Processing and Computer Vision
Spring 2001/2002/2003
University of the Chinese Academy of Sciences

Summer Schools - teaching

  • CIMPA Summer School "Partial Differential Equations and Computer Vision", @Beijing, 1999
  • Summer School "Mathematical Methods for Multi-Channel Image Processing (MULT-IM)" @Beijing, July 2006

Summer Schools - Organisation committee

  • "Machine Learning, Statistics and Computer Vision'', @Ezhou, Hubei, China, June 30-July 11 2008. Co-organised with Prof. Zhu SongChun (UCLA).
  • ''Mathematical Methods for Multi-Channel Image Processing (MULT-IM)'', @Beijing, China, 3-8 July 2006. Co-organised with Prof. P.L. Combettes (Univ. Paris 6)