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Renaud Marlet
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2020 – today
- 2024
- [c61]Björn Michele
, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV 2024: 421-431 - [c60]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. 3DV 2024: 559-568 - [c59]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CVPR Workshops 2024: 4493-4503 - [c58]Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit:
NOPE: Novel Object Pose Estimation from a Single Image. CVPR 2024: 17923-17932 - [c57]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Three Pillars Improving Vision Foundation Model Distillation for Lidar. CVPR 2024: 21519-21529 - [i39]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CoRR abs/2404.14027 (2024) - [i38]Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord:
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR abs/2406.08113 (2024) - [i37]Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni:
A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. CoRR abs/2407.05061 (2024) - [i36]Nermin Samet, Gilles Puy, Oriane Siméoni, Renaud Marlet:
MILAN: Milli-Annotations for Lidar Semantic Segmentation. CoRR abs/2407.15797 (2024) - [i35]Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty:
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation. CoRR abs/2409.04409 (2024) - [i34]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
UNIT: Unsupervised Online Instance Segmentation through Time. CoRR abs/2409.07887 (2024) - 2023
- [j18]Yang Xiao
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3090-3106 (2023) - [c56]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CVPR 2023: 5240-5250 - [c55]Alexandre Boulch, Corentin Sautier, Björn Michele
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation. CVPR 2023: 13455-13465 - [c54]Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. ICCV 2023: 3356-3366 - [c53]Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit:
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation. ICCV 2023: 18399-18411 - [c52]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) 2023: 3212-3221 - [c51]Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet, Vincent Lepetit:
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation. WACV 2023: 5881-5892 - [i33]Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. CoRR abs/2301.10100 (2023) - [i32]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR abs/2301.10222 (2023) - [i31]Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet:
A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds. CoRR abs/2301.13656 (2023) - [i30]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR abs/2304.03251 (2023) - [i29]Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit:
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation. CoRR abs/2304.11762 (2023) - [i28]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR abs/2309.01575 (2023) - [i27]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. CoRR abs/2310.17281 (2023) - [i26]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR abs/2310.17504 (2023) - [i25]Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle:
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR abs/2312.06386 (2023) - 2022
- [j17]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical perspective on learning with normalization layers. Neurocomputing 487: 66-74 (2022) - [c50]Alexandre Boulch, Renaud Marlet:
POCO: Point Convolution for Surface Reconstruction. CVPR 2022: 6292-6304 - [c49]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR 2022: 9881-9891 - [c48]Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet:
Deep Surface Reconstruction from Point Clouds with Visibility Information. ICPR 2022: 2415-2422 - [c47]Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, Renaud Marlet:
VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds. ICPR 2022: 4008-4015 - [i24]Alexandre Boulch, Renaud Marlet:
POCO: Point Convolution for Surface Reconstruction. CoRR abs/2201.01831 (2022) - [i23]Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet:
Deep Surface Reconstruction from Point Clouds with Visibility Information. CoRR abs/2202.01810 (2022) - [i22]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR abs/2203.16258 (2022) - [i21]Simon Roburin, Charles Corbière
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR abs/2208.12625 (2022) - [i20]Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet, Vincent Lepetit:
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation. CoRR abs/2209.09341 (2022) - [i19]Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet:
ALSO: Automotive Lidar Self-supervision by Occupancy estimation. CoRR abs/2212.05867 (2022) - 2021
- [j16]Raphael Sulzer
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. Comput. Graph. Forum 40(5): 157-167 (2021) - [c46]Yang Xiao, Yuming Du, Renaud Marlet:
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning. 3DV 2021: 74-84 - [c45]Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. 3DV 2021: 940-950 - [c44]Björn Michele
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds. 3DV 2021: 992-1002 - [c43]Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-supervised Transformers and no Labels. BMVC 2021: 310 - [c42]Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet:
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. ICCV 2021: 13209-13218 - [c41]Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell:
3D Reconstruction By Parameterized Surface Mapping. ICIP 2021: 3273-3277 - [i18]Yang Xiao, Yuming Du, Renaud Marlet:
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning. CoRR abs/2105.05643 (2021) - [i17]Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet:
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. CoRR abs/2107.06130 (2021) - [i16]Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet:
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud. CoRR abs/2108.06230 (2021) - [i15]Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-Supervised Transformers and no Labels. CoRR abs/2109.14279 (2021) - [i14]Anh-Quan Cao
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. CoRR abs/2110.01269 (2021) - [i13]Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. CoRR abs/2111.15207 (2021) - 2020
- [c40]Alexandre Boulch, Gilles Puy, Renaud Marlet:
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. ACCV (1) 2020: 381-399 - [c39]Muxingzi Li, Florent Lafarge, Renaud Marlet:
Approximating shapes in images with low-complexity polygons. CVPR 2020: 8630-8638 - [c38]Yang Xiao, Renaud Marlet:
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild. ECCV (17) 2020: 192-210 - [c37]Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. ECCV (28) 2020: 527-544 - [c36]Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet:
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference and Application. ECCV (4) 2020: 690-708 - [i12]Alexandre Boulch, Gilles Puy, Renaud Marlet:
LightConvPoint: convolution for points. CoRR abs/2004.04462 (2020) - [i11]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical Perspective on Learning with Batch Norm. CoRR abs/2006.13382 (2020) - [i10]Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. CoRR abs/2007.11142 (2020) - [i9]Xuchong Qiu, Yang Xiao
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application. CoRR abs/2007.12088 (2020) - [i8]Yang Xiao
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild. CoRR abs/2007.12107 (2020)
2010 – 2019
- 2019
- [c35]Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. 3DV 2019: 553-563 - [c34]Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet:
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. BMVC 2019: 61 - [i7]Vianney Loing, Renaud Marlet, Mathieu Aubry:
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. CoRR abs/1902.02711 (2019) - [i6]Yang Xiao
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. CoRR abs/1906.05105 (2019) - [i5]Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. CoRR abs/1911.00451 (2019) - 2018
- [j15]Vianney Loing
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration. Int. J. Comput. Vis. 126(9): 1045-1060 (2018) - [j14]Raghudeep Gadde
Efficient 2D and 3D Facade Segmentation Using Auto-Context. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1273-1280 (2018) - 2017
- [c33]Yohann Salaün, Renaud Marlet, Pascal Monasse:
Line-Based Robust SfM with Little Image Overlap. 3DV 2017: 195-204 - [c32]Nicolas Audebert
Deep learning for urban remote sensing. JURSE 2017: 1-4 - [c31]Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis:
Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments. WACV 2017: 292-301 - [i4]Yohann Salaün, Renaud Marlet, Pascal Monasse:
Robust SfM with Little Image Overlap. CoRR abs/1703.07957 (2017) - 2016
- [j13]Alexandre Boulch, Renaud Marlet:
Deep Learning for Robust Normal Estimation in Unstructured Point Clouds. Comput. Graph. Forum 35(5): 281-290 (2016) - [j12]Raghudeep Gadde, Renaud Marlet, Nikos Paragios:
Learning Grammars for Architecture-Specific Facade Parsing. Int. J. Comput. Vis. 117(3): 290-316 (2016) - [c30]Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. BMVC 2016 - [c29]Yohann Salaün, Renaud Marlet, Pascal Monasse:
Robust and Accurate Line- and/or Point-Based Pose Estimation without Manhattan Assumptions. ECCV (7) 2016: 801-818 - [c28]Pierre Moulon, Pascal Monasse, Romuald Perrot, Renaud Marlet:
OpenMVG: Open Multiple View Geometry. RRPR@ICPR 2016: 60-74 - [c27]Yohann Salaün, Renaud Marlet, Pascal Monasse:
The Multiscale Line Segment Detector. RRPR@ICPR 2016: 167-178 - [c26]Yohann Salaün, Renaud Marlet, Pascal Monasse:
Multiscale line segment detector for robust and accurate SfM. ICPR 2016: 2000-2005 - [i3]Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler:
Efficient 2D and 3D Facade Segmentation using Auto-Context. CoRR abs/1606.06437 (2016) - [i2]Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. CoRR abs/1609.03894 (2016) - 2015
- [c25]Mateusz Kozinski
A MRF shape prior for facade parsing with occlusions. CVPR 2015: 2820-2828 - 2014
- [j11]Alexandre Boulch, Martin de La Gorce, Renaud Marlet:
Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization. Comput. Graph. Forum 33(5): 55-64 (2014) - [c24]Mateusz Kozinski
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. ACCV (4) 2014: 79-94 - [c23]Zhe Liu, Pascal Monasse, Renaud Marlet:
Match Selection and Refinement for Highly Accurate Two-View Structure from Motion. ECCV (2) 2014: 818-833 - [c22]Alexandre Boulch, Renaud Marlet:
Statistical Criteria for Shape Fusion and Selection. ICPR 2014: 936-941 - [c21]Mateusz Kozinski
Image parsing with graph grammars and Markov Random Fields applied to facade analysis. WACV 2014: 729-736 - [i1]Francisco Massa, Mathieu Aubry, Renaud Marlet:
Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. CoRR abs/1412.7190 (2014) - 2013
- [j10]Alexandre Boulch, S. Houllier, Renaud Marlet, Olivier Tournaire:
Semantizing Complex 3D Scenes using Constrained Attribute Grammars. Comput. Graph. Forum 32(5): 33-42 (2013) - [c20]Pierre Moulon, Pascal Monasse, Renaud Marlet:
Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion. ICCV 2013: 3248-3255 - 2012
- [j9]Alexandre Boulch, Renaud Marlet:
Fast and Robust Normal Estimation for Point Clouds with Sharp Features. Comput. Graph. Forum 31(5): 1765-1774 (2012) - [c19]David Ok, Mateusz Kozinski
High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. 3DIMPVT 2012: 128-135 - [c18]Pierre Moulon, Pascal Monasse, Renaud Marlet:
Adaptive Structure from Motion with a Contrario Model Estimation. ACCV (4) 2012: 257-270 - [c17]David Ok, Renaud Marlet, Jean-Yves Audibert:
Efficient and Scalable 4th-Order Match Propagation. ACCV (1) 2012: 460-473 - [c16]Zhe Liu, Renaud Marlet:
Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence. BMVC 2012: 1-11 - 2011
- [c15]Jamil Draréni, Renaud Keriven, Renaud Marlet:
Indoor Calibration Using Segment Chains. DAGM-Symposium 2011: 71-80
2000 – 2009
- 2009
- [c14]Lionel Clément, Kim Gerdes, Renaud Marlet:
A Grammar Correction Algorithm - Deep Parsing and Minimal Corrections for a Grammar Checker. FG 2009: 47-63 - [c13]Lionel Clément, Kim Gerdes, Renaud Marlet:
Grammaires d'erreur - correction grammaticale avec analyse profonde et proposition de corrections minimales. TALN (Articles courts) 2009: 158-167 - 2008
- [c12]Renaud Marlet:
Un sens logique pour les graphes sémantiques. TALN (Articles courts) 2008: 189-198 - 2001
- [j8]Dylan McNamee, Jonathan Walpole, Calton Pu, Crispin Cowan, Charles Krasic, Ashvin Goel, Perry Wagle, Charles Consel, Gilles Muller, Renaud Marlet:
Specialization tools and techniques for systematic optimization of system software. ACM Trans. Comput. Syst. 19(2): 217-251 (2001) - 2000
- [j7]Scott Thibault, Charles Consel, Julia L. Lawall, Renaud Marlet, Gilles Muller:
Static and Dynamic Program Compilation by Interpreter Specialization. High. Order Symb. Comput. 13(3): 161-178 (2000) - [j6]Gilles Muller, Renaud Marlet, Eugen-Nicolae Volanschi:
Accurate program analyses for successful specialization of legacy system software. Theor. Comput. Sci. 248(1-2): 201-210 (2000) - [c11]Ron Cytron, Renaud Marlet:
Tempo, a program specializer for C (Panel Session). Dynamo 2000: 76-77 - [c10]Laurent Réveillère, Fabrice Mérillon, Charles Consel, Renaud Marlet, Gilles Muller:
A DSL Approach to Improve Productivity and Safety in Device Drivers Development. ASE 2000: 101-110 - [c9]Philippe Boinot, Renaud Marlet, Jacques Noyé, Gilles Muller, Charles Consel:
A Declarative Approach for Designing and Developing Adaptive Components. ASE 2000: 111- - [c8]Fabrice Mérillon, Laurent Réveillère, Charles Consel, Renaud Marlet, Gilles Muller:
Devil: An IDL for Hardware Programming. OSDI 2000: 17-30 - [c7]Gilles Muller, Charles Consel, Renaud Marlet, Luciano Porto Barreto, Fabrice Mérillon, Laurent Réveillère:
Towards robust OSes for appliances: a new approach based on domain-specific languages. ACM SIGOPS European Workshop 2000: 19-24
1990 – 1999
- 1999
- [j5]Renaud Marlet, Scott Thibault, Charles Consel:
Efficient Implementations of Software Architectures via Partial Evaluation. Autom. Softw. Eng. 6(4): 411-440 (1999) - [j4]Sandrine Chirokoff, Charles Consel, Renaud Marlet:
Combining Program and Data Specialization. High. Order Symb. Comput. 12(4): 309-335 (1999) - [j3]Scott Thibault, Renaud Marlet, Charles Consel:
Domain-Specific Languages: From Design to Implementation Application to Video Device Drivers Generation. IEEE Trans. Software Eng. 25(3): 363-377 (1999) - [c6]Renaud Marlet, Charles Consel, Philippe Boinot:
Efficient Incremental Run-Time Specialization for Free. PLDI 1999: 281-292 - 1998
- [j2]Charles Consel, Luke Hornof, Renaud Marlet, Gilles Muller, Scott Thibault, Eugen-Nicolae Volanschi:
Tempo: Specializing Systems applications and Beyond. ACM Comput. Surv. 30(3es): 19 (1998) - [j1]Charles Consel, Luke Hornof, Renaud Marlet, Gilles Muller, Scott Thibault, Eugen-Nicolae Volanschi:
Partial Evaluation for Software Engineering. ACM Comput. Surv. 30(3es): 20 (1998) - [c5]Gilles Muller, Renaud Marlet, Eugen-Nicolae Volanschi, Charles Consel, Calton Pu, Ashvin Goel:
Fast, Optimized Sun RPC Using Automatic Program Specialization. ICDCS 1998: 240-249 - [c4]Charles Consel, Renaud Marlet:
Architecture Software Using: A Methodology for Language Development. PLILP/ALP 1998: 170-194 - 1997
- [c3]Scott Thibault, Renaud Marlet, Charles Consel:
A Domain Specific Language for Video Device Drivers: From Design to Implementation. DSL 1997: 11-26 - [c2]Renaud Marlet, Scott Thibault, Charles Consel:
Mapping Software Architectures to Efficient Implementations via Partial Evaluation. ASE 1997: 183-192 - [c1]Gilles Muller, Eugen-Nicolae Volanschi, Renaud Marlet:
Scaling up Partial Evaluation for Optimizing the Sun Commercial RPC Protocol. PEPM 1997: 116-126
Coauthor Index
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