Marc Proesmans

According to our database, Marc Proesmans authored at least 55 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive Learning for Multi-Object Tracking with Transformers.

Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Padding Investigations for CNNs in Scene Parsing Tasks.

Yu-Hui Huang, Marc Proesmans, Luc Van Gool

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Unbalanced Optimal Transport: A Unified Framework for Object Detection.

Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry.

Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022

Multi-Task Learning for Dense Prediction Tasks: A Survey.

Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Unsupervised Online Domain Adaptation for Semantic Segmentation.

Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM.

Nicola Marinello, Marc Proesmans, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Context-aware Padding for Semantic Segmentation.

Yu-Hui Huang, Marc Proesmans, Luc Van Gool

CoRR, 2021

CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences.

Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty.

Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation.

Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Learning To Classify Images Without Labels.

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

CoRR, 2020

Revisiting Multi-Task Learning in the Deep Learning Era.

Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool

CoRR, 2020

Modeling the Effects of Windshield Refraction for Camera Calibration.

Frank Verbiest, Marc Proesmans, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

SCAN: Learning to Classify Images Without Labels.

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Uncertainty based model selection for fast semantic segmentation.

Yu-Hui Huang, Marc Proesmans, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

End-to-end Lane Detection through Differentiable Least-Squares Fitting.

Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth.

Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach.

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Status Quaestionis and Future Solutions for Using Multi-light Reflectance Imaging Approaches for Preserving Cultural Heritage Artifacts.

Vincent Vanweddingen, Chris Vastenhoud, Marc Proesmans, Hendrik Hameeuw, Bruno Vandermeulen, Athena Van der Perre, Frederic Lemmers, Lieve Watteeuw, Luc Van Gool

Proceedings of the Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection, 2018

2017

Fast Scene Understanding for Autonomous Driving.

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

CoRR, 2017

Material Classification under Natural Illumination Using Reflectance Maps.

Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Autonomous Mapping of the Priscilla Catacombs.

Frank Verbiest, Marc Proesmans, Luc Van Gool

Proceedings of the Mixed Reality and Gamification for Cultural Heritage, 2017

2015

A Gaussian Process Latent Variable Model for BRDF Inference.

Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A new approach to digitalization and data management of cultural heritage sites.

Vittorio Amos Ziparo, Fabio Cottefoglie, Daniele Calisi, Francesca Giannone, Giorgio Grisetti, Bastian Leibe, Marc Proesmans, Paolo Salonia, Luc Van Gool, Claudia Ventura, Cyrill Stachniss

Proceedings of the 2nd Digital Heritage International Congress, 2015

2014

Tackling Shapes and BRDFs Head-On.

Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Exploration and mapping of catacombs with mobile robots.

Vittorio A. Ziparo, Marco Zaratti, Giorgio Grisetti, Taigo Maria Bonanni, Jacopo Serafin, Maurilio Di Cicco, Marc Proesmans, Luc Van Gool, Olga Vysotska, Igor Bogoslavskyi, Cyrill Stachniss

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2013

2012

Insourcing, Outsourcing and Crowdsourcing 3D Collection Formation: Perspectives for Cultural Heritage Sites.

Jaime Kaminski, Karina Rodriguez-Echavarria, David Arnold, Gianpaolo Palma, Roberto Scopigno, Marc Proesmans, James Stevenson

Proceedings of the 13th International Symposium on Virtual Reality, 2012

2000

Transformations of a 3D Image Reconstruction Algorithm for Data Transfer and Storage Optimisation.

Tanja Van Achteren, Marleen Adé, Rudy Lauwereins, Marc Proesmans, Luc Van Gool, Jan Bormans, Francky Catthoor

Des. Autom. Embed. Syst., 2000

Image-Based 3D Modeling: Modeling from Reality.

Luc Van Gool, Filip Defoort, Johannes Hug, Gregor Arthur Kalberer, Reinhard Koch, Danny Martens, Marc Pollefeys, Marc Proesmans, Maarten Vergauwen, Alexey Zalesny

Proceedings of the Confluence of Computer Vision and Computer Graphics, 2000

1999

Grouping Based on Coupled Diffusion Maps.

Marc Proesmans, Luc Van Gool

Proceedings of the Shape, Contour and Grouping in Computer Vision, 1999

Transformations of a 3D Image Reconstruction Algorithm for Data Transfer and Storage Optimization.

Tanja Van Achteren, Marleen Adé, Rudy Lauwereins, Marc Proesmans, Luc Van Gool, Jan Bormans, Francky Catthoor

Proceedings of the Tenth IEEE International Workshop on Rapid System Prototyping (RSP 1999), 1999

Invariant-based Registration of Surface Patches.

Joris Vanden Wyngaerd, Luc Van Gool, Reinhard Koch, Marc Proesmans

Proceedings of the International Conference on Computer Vision, 1999

1998

Planar homologies as a basis for grouping and recognition.

Luc Van Gool, Marc Proesmans, Andrew Zisserman

Image Vis. Comput., 1998

A Cascaded Hough Transform as an Aid in Aerial Image Interpretation.

Tinne Tuytelaars, Luc Van Gool, Marc Proesmans, Theo Moons

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Reading between the lines: A method for extracting dynamic 3D with Texture.

Marc Proesmans, Luc Van Gool, Filip Defoort

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Special Lecture: 3D Modeling for Communications.

Luc Van Gool, Filip Defoort, Reinhard Koch, Marc Pollefeys, Marc Proesmans, Maarten Vergauwen

Proceedings of the Computer Graphics International Conference, 1998

1997

Reading between the lines - a method for extracting dynamic 3D with texture.

Marc Proesmans, Luc Van Gool

Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 1997

The Cascaded Hough Transforms.

Tinne Tuytelaars, Marc Proesmans, Luc Van Gool

Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

One-shot 3D-shape and Texture Acquisition of Facial Data.

Marc Proesmans, Luc Van Gool

Proceedings of the Audio- and Video-Based Biometric Person Authentication, 1997

The Cascaded Hough Transform as Support for Grouping and Finding Vanishing Points and Lines.

Tinne Tuytelaars, Marc Proesmans, Luc Van Gool

Proceedings of the Algebraic Frames for the Perception-Action Cycle, 1997

One-shot active 3D image capture.

Marc Proesmans, Luc Van Gool

Proceedings of the Three-Dimensional Image Capture, San Jose, CA, USA, February 8, 1997, 1997

1996

Affine Reconstruction from Perspective Image Pairs with a Relative Object-Camera Translation in Between.

Theo Moons, Luc Van Gool, Marc Proesmans, Eric J. Pauwels

IEEE Trans. Pattern Anal. Mach. Intell., 1996

One-shot active 3D shape acquisition.

Marc Proesmans, Luc Van Gool, André Oosterlinck

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Active acquisition of 3D shape for moving objects.

Marc Proesmans, Luc Van Gool, André Oosterlinck

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts.

Marc Pollefeys, Luc Van Gool, Marc Proesmans

Proceedings of the Computer Vision, 1996

Mirror and Point Symmetry under Perspective Skewing.

Luc Van Gool, Theo Moons, Marc Proesmans

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995

Groups, fixed sets, symmetries, and invariants.

Luc Van Gool, Theo Moons, Marc Proesmans, André Oosterlinck

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Groups for Grouping: A Strategy for the Exploitation of Geometrical Constraints.

Luc Van Gool, Theo Moons, Marc Proesmans

Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994

Coupled Geometry-Driven Diffusion Equations for Low-Level Vision.

Marc Proesmans, Eric J. Pauwels, Luc Van Gool

Proceedings of the Geometry-Driven Diffusion in Computer Vision, 1994

Affine reconstruction from perspective image pairs obtained by a translating camera.

Luc Van Gool, Theo Moons, Marc Proesmans, Marc Van Diest

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion.

Marc Proesmans, Luc Van Gool, Eric J. Pauwels, André Oosterlinck

Proceedings of the Computer Vision, 1994

1993

Segmentation and image enhancement using coupled anisotropic diffusion equations.

Eric J. Pauwels, Marc Proesmans, Luc Van Gool, Theo Moons, André Oosterlinck

Proceedings of the Visual Communications and Image Processing '93, 1993

A real-time edge linker.

Dorin Ungureanu, Marc Proesmans, Luc Van Gool, André Oosterlinck, Jeroen Zegers, J. Decaluwe

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

Image enhancement using non-linear diffusion.

Marc Proesmans, Eric J. Pauwels, Luc Van Gool, Theo Moons, André Oosterlinck

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993