Renaud MARLET Senior researcher at École des Ponts ParisTech (ENPC), former head of the IMAGINE Group (2010-2019). Principal Scientist at Valeo.ai, a research lab of Valeo (since June 2019). Member of the Astra Inria project team (formerly RITS), in the computer vision group Astra-vision. IMAGINE École des Ponts ParisTech 6, Avenue Blaise Pascal – Cité Descartes Champs-sur-Marne 77455 Marne-la-Vallée cedex 2 - France How to come...      Office:  Coriolis B415 Tel.:  +33 1 64 15 21 86 Fax:  +33 1 64 15 35 86 e-mail:  marlet@enpc.fr URL:  http://imagine.enpc.fr/~marletr/

IMAGINE is a research group in computer vision, machine learning and optimization of the École des Ponts ParisTech (a.k.a. ENPC). It is affiliated to the Gaspard Monge Computer Science Lab (LIGM) of the University Paris-Est (UPE).

Open Positions

• A PhD position on Conditioned 3D scene generation is open, together with Patrick Pérez at valeo.ai and Raoul de Charette at Inria. [Position closed]
• Internship positions (end of MSc degree, 4-6 months, mostly for spring-summer 2023):
  • There might be an internship position in IMAGINE with Vincent Lepetit on 3D scene understanding from point clouds. Send me a mail if you are interested and fit the profile.
  • Internships with colleagues at valeo.ai are now available. Please directly get in touch with them. [Positions closed]
  • For internships with colleagues at Astra-vision, please write to Raoul de Charette. [Position closed]

For any application, please send:

• a cover letter explaining your interest and adequacy for a/the topic,
• your CV/resume,
• transcripts of your grades from last year, as well as this year when already available.

Research

After having worked on programming languages, software engineering, security and natural language processing, I have now turned to computer vision: I have joined the IMAGINE group in December 2009, and Valeo.ai in June 2019 (staying part-time in IMAGINE).

I am interested in the reconstruction of 3D models from images and range data, regarding both geometry and semantics, in particular with applications to building and city modeling:

• Camera registration. I have been working on external camera calibration issues (structure from motion), with a focus on accuracy and robustness, developing adaptive parameterless methods and global registration techniques, based on feature points as well as line segments. This also involves robust feature matching.
• Geometry processing. I have addressed speed and robustness issues for the treatment of point clouds, in particular regarding normal estimation for scenes with sharp features, and I have proposed various surface reconstruction methods, from simple watertight piecewise-planar polygonal meshes to finer and more accurate volumes, with or without learned priors.
• Scene understanding. I have been working on various methods to semantically segment 2D and 3D data, using grammar-based approaches (top-down or bottom-up, with handwritten grammars or learned priors) as well as less structured but more accurate learning-based approaches.

More recently, I have also been interested in computer vision for robotic applications in the context of civil engineering as well as safe driving and autonomous vehicles, using both 2D and 3D data.

Books

Ingénierie de la spécialisation de programmes 1 (principes et applications) Ingénierie de la spécialisation de programmes 2 (techniques avancées)

The publisher had these two volumes transmogrified into some sort of technical English

and bundled into a single book titled Program Specialization.

Selected Publications in Computer Vision & Geometry Processing

• Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation.
  Gilles Puy, Alexandre Boulch, Renaud Marlet.
  arXiv preprint arXiv:2301.10100, January 2023.
  Code.

• RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.
  Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet.
  arXiv preprint arXiv:2301.10222, January 2023.
  Accepted at CVPR 2023.
  Code.

• ALSO: Automotive Lidar Self-supervision by Occupancy estimation.
  Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet.
  arXiv preprint arXiv:2212.05867, December 2022.
  Accepted at CVPR 2023.
  Code.

• A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation.
  Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet, Vincent Lepetit
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, HA, USA, January 2023.
  Project page and code.

• Deep Surface Reconstruction from Point Clouds with Visibility Information.
  Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet.
  26th International Conference on Pattern Recognition (ICPR 2022), Montreal, Quebec, Canada, August 2022.
  Code and data.

• VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds.
  Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, Renaud Marlet.
  26th International Conference on Pattern Recognition (ICPR 2022), Montreal, Quebec, Canada, August 2022.
  Code and data, supplementary material.

• POCO: Point Convolution for Surface Reconstruction.
  Alexandre Boulch, Renaud Marlet.
  35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LO, USA, June 2022.
  Code.

• Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.
  Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet.
  35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LO, USA, June 2022.
  Code of SlidR, supplementary material.

• Spherical Perspective on Learning with Normalization Layers.
  Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry.
  Neurocomputing, 487:66-74, May 2022.
  Short version, titled "A spherical analysis of Adam with Batch Normalization",
  at International Workshop on Optimization for Machine Learning (OPT 2021), satellite event of NeurIPS 2021.
  Project page (with code).

• PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning.
  Yang Xiao, Yuming Du, Renaud Marlet.
  International Conference on 3D Vision (3DV 2021) [oral], virtual, December 2021.
  Project page with code.

• Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds.
  Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet.
  International Conference on 3D Vision (3DV 2021), virtual, December 2021.
  

• NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping.
  Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet.
  International Conference on 3D Vision (3DV 2021), virtual, December 2021.
  Supplementary material.

• Localizing Objects with Self-Supervised Transformers and no Labels.
  Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce.
  32th British Machine Vision Conference (BMVC 2021), virtual, November 2021.
  Project page with code.

• PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds.
  Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet.
  18th CVF/IEEE International Conference on Computer Vision (ICCV 2021), Virtual/Online, September 2021.
  Code and supplementary material.

• 3D Reconstruction by Parameterized Surface Mapping.
  Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir Kim, Alexandre Boulch, Renaud Marlet, Bryan Russell.
  28th IEEE International Conference on Image Processing (ICIP 2021), Anchorage, Alaska, September 2021.
  Supplementary material.

• Scalable Surface Reconstruction with Delaunay-Graph Neural Networks.
  Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet.
  Computer Graphics Forum (CGF 2021), 40(5):157-167, August 2021.
  19th Eurographics Symposium on Geometry Processing (SGP 2021), Toronto, Ontario, online, July 2021.

• FKAConv: Feature-Kernel Alignment for Point Cloud Convolution.
  Alexandre Boulch, Gilles Puy, Renaud Marlet.
  15th Asian Conference on Computer Vision (ACCV 2020) [oral], online, November 2020.
  Projet page with code.

• Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application.
  Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet.
  16th European Conference on Computer Vision (ECCV 2020) [spotlight], online, August 2020.
  Project page, code and data, supplementary material.

• Few-Shot Object Detection and Viewpoint Estimation for Objects in The Wild.
  Yang Xiao, Renaud Marlet.
  16th European Conference on Computer Vision (ECCV 2020), online, August 2020.
  Project page with code, data, slides and videos.

• FLOT: Scene Flow On Point Clouds Guided by Optimal Transport.
  Gilles Puy, Alexandre Boulch, and Renaud Marlet.
  16th European Conference on Computer Vision (ECCV 2020), online, August 2020.
  Project page with code and data.

• Approximating Shapes in Images with Low-Complexity Polygons.
  Muxingzi Li, Florent Lafarge, Renaud Marlet.
  33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) [oral], Seattle, WA, USA, June 2020.
  Code.

• Surface Reconstruction from 3D Line Segments.
  Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet.
  International Conference on 3D Vision (3DV 2019) [oral], Québec City, Canada, September 2019.
  Project page, supplementary material (text, video), code.

• Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects.
  Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet.
  30th British Machine Vision Conference (BMVC 2019), Cardiff, United Kingdom, September 2019.
  Supplementary material, project page (code and data).

• Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration.
  Vianney Loing, Renaud Marlet, Mathieu Aubry.
  International Journal of Computer Vision (IJCV 2018), 126(9), pp 1045-1060, September 2018.
  Project page (dataset, code and video).

• Efficient 2D and 3D Facade Segmentation using Auto-Context.
  Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter Gehler.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2018), 40(5), May 2018.
  Supplementary material.

• Line-based Robust SfM with Little Image Overlap.
  Yohann Salaün, Renaud Marlet, Pascal Monasse.
  5th International Conference on 3D Vision (3DV 2017), Qingdao, China, October 2017.
  Supplementary material, code (LineSfM).

• Patchwork Stereo: Scalable, Structure-aware 3D Reconstruction in Man-made Environments.
  Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis.
  IEEE Winter Conference on Applications of Computer Vision (WACV 2017), Santa Rosa, CA, USA, March 2017.
  Supplementary material.

• Deep Learning for Urban Remote Sensing.
  Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet.
  Joint Urban Remote Sensing Event (JURSE 2017) [invited paper], Dubai, UEA, March 2017.

• OpenMVG: Open Multiple View Geometry.
  Pierre Moulon, Pascal Monasse, Romuald Perrot, Renaud Marlet.
  1st Workshop on Reproducible Research in Pattern Recognition (RRPR 2016), Cancun, Mexico, December 2016.
  Code (OpenMVG).

• The multiscale line segment detector.
  Yohann Salaün, Renaud Marlet, Pascal Monasse.
  1st Workshop on Reproducible Research in Pattern Recognition (RRPR 2016), Cancun, Mexico, December 2016.
  Code (MLSD).

• Multiscale line segment detector for robust and accurate SfM.
  Yohann Salaün, Renaud Marlet, Pascal Monasse.
  23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016.
  Code (MLSD).

• Robust and accurate line- and/or point-based pose estimation without Manhattan assumptions.
  Yohann Salaün, Renaud Marlet, Pascal Monasse.
  14th European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands, October 2016.
  Supplementary material, code (LineSfM).

• Crafting a multi-task CNN for viewpoint estimation.
  Francisco Massa, Renaud Marlet, Mathieu Aubry.
  27th British Machine Vision Conference (BMVC 2016), York, United Kingdom, September 2016.

• Deep Learning for Robust Normal Estimation in Unstructured Point Clouds.
  Alexandre Boulch, Renaud Marlet.
  Computer Graphics Forum (CGF 2016), 35(5), August 2016.
  14th Eurographics Symposium on Geometry Processing (SGP 2016), Berlin, Germany, June 2016.
  Slides, code.

• Learning grammars for architecture-specific facade parsing.
  Raghudeep Gadde, Renaud Marlet, Nikos Paragios.
  International Journal of Computer Vision (IJCV 2016), 117(3), 290-316, March 2016.
  Dataset.

• A MRF Shape Prior for Facade Parsing with Occlusions.
  Mateusz Koziński, Raghudeep Gadde, Sergey Zagoruyko, Renaud Marlet, Guillaume Obozinski.
  28th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, June 2015.
  Supplementary material.

• Beyond procedural facade parsing: Bidirectional alignment via linear programming.
  Mateusz Koziński, Guillaume Obozinski, Renaud Marlet.
  12th Asian Conference on Computer Vision (ACCV 2014), Singapore, November 2014.
  Supplementary material.

• Match Selection and Refinement for Highly Accurate Two-View Structure from Motion.
  Zhe Liu, Pascal Monasse, Renaud Marlet.
  13rd European Conference on Computer Vision (ECCV 2014) [oral], Zurich, Switzerland, September 2014.
  Supplementary material, code.

• Statistical criteria for shape fusion and selection.
  Alexandre Boulch, Renaud Marlet.
  22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, August 2014.
  Code.

• Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization.
  Alexandre Boulch, Martin de La Gorce, Renaud Marlet.
  Computer Graphics Forum (CGF 2014), 33(5), 55-64, August 2014.
  12th Eurographics Symposium on Geometry Processing (SGP 2014), Cardiff, UK, July 2014.
  Slides.

• Image Parsing with Graph Grammars and Markov Random Fields.
  Mateusz Koziński, Renaud Marlet.
  IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, CO, USA, March 2014.
  

• Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion.
  Pierre Moulon, Pascal Monasse, Renaud Marlet.
  14th IEEE International Conference on Computer Vision (ICCV 2013), Sydney, Australia, December 2013.
  Code (OpenMVG).

• Semantizing Complex 3D Scenes using Constrained Attribute Grammars.
  Alexandre Boulch, Simon Houllier, Renaud Marlet, Olivier Tournaire.
  Computer Graphics Forum (CGF 2013), 32(5), 33-42, August 2013.
  11th Eurographics Symposium on Geometry Processing (SGP 2013), Genoa, Italy, July 2013.
  Supplementary material, slides.

• Efficient and Scalable 4th-order Match Propagation.
  David Ok, Renaud Marlet, Jean-Yves Audibert.
  11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, Corea, November 2012.
  Supplementary material.

• Adaptive Structure from Motion with a contrario model estimation.
  Pierre Moulon, Pascal Monasse, Renaud Marlet.
  11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, Corea, November 2012.
  Code (OpenMVG).

• High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images.
  David Ok, Mateusz Koziński, Renaud Marlet, Nikos Paragios.
  2nd Joint 3DIM/3DPVT Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT 2012), Zürich, Switzerland, October 2012.

• Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence.
  Zhe Liu, Renaud Marlet.
  23rd British Machine Vision Conference (BMVC 2012), Surrey, United Kingdom, September 2012.
  Supplementary material, code (KVLD).

• Fast and Robust Normal Estimation for Point Clouds with Sharp Features.
  Alexandre Boulch, Renaud Marlet.
  Computer Graphics Forum (CGF 2012), 31(5), 1765-1774, August 2012.
  10th Eurographics Symposium on Geometry Processing (SGP 2012), Tallinn, Estonia, July 2012.
  Supplementary material, slides, code.

• Indoor Calibration using Segments Chains.
  Jamil Draréni, Renaud Keriven, Renaud Marlet.
  33rd Annual Symposium of the German Association for Pattern Recognition (GCPR/DAGM 2011), Frankfurt, Germany, August 2011.