Image enhancement using non-linear diffusion. - Marc Proesmans; Eric J. Pauwels; Luc Van Gool; Theo Moons; André Oosterlinck (CVPR, 1993)

A real-time edge linker. - Dorin Ungureanu; Marc Proesmans; Luc Van Gool; André Oosterlinck; Jeroen Zegers; J. Decaluwe (CVPR, 1993)

Segmentation and image enhancement using coupled anisotropic diffusion equations. - Eric J. Pauwels; Marc Proesmans; Luc Van Gool; Theo Moons; André Oosterlinck (VCIP, 1993)

Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion. - Marc Proesmans; Luc Van Gool; Eric J. Pauwels; André Oosterlinck (ECCV (2), 1994)

Affine reconstruction from perspective image pairs obtained by a translating camera. - Luc Van Gool; Theo Moons; Marc Proesmans; Marc Van Diest (ICPR (1), 1994)

Coupled Geometry-Driven Diffusion Equations for Low-Level Vision. - Marc Proesmans; Eric J. Pauwels; Luc Van Gool (Geometry-Driven Diffusion in Computer Vision, 1994)

Groups for Grouping: A Strategy for the Exploitation of Geometrical Constraints. - Luc Van Gool; Theo Moons; Marc Proesmans (CAIP, 1995)

Groups, fixed sets, symmetries, and invariants. - Luc Van Gool; Theo Moons; Marc Proesmans; André Oosterlinck (ICIP (3), 1995)

Mirror and Point Symmetry under Perspective Skewing. - Luc Van Gool; Theo Moons; Marc Proesmans (CVPR, 1996)

Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts. - Marc Pollefeys; Luc Van Gool; Marc Proesmans (ECCV (1), 1996)

Active acquisition of 3D shape for moving objects. - Marc Proesmans; Luc Van Gool; André Oosterlinck (ICIP (3), 1996)

One-shot active 3D shape acquisition. - Marc Proesmans; Luc Van Gool; André Oosterlinck (ICPR, 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 image capture. - Marc Proesmans; Luc Van Gool (Three-Dimensional Image Capture, 1997)

The Cascaded Hough Transform as Support for Grouping and Finding Vanishing Points and Lines. - Tinne Tuytelaars; Marc Proesmans; Luc Van Gool (AFPAC, 1997)

One-shot 3D-shape and Texture Acquisition of Facial Data. - Marc Proesmans; Luc Van Gool (AVBPA, 1997)

The Cascaded Hough Transforms. - Tinne Tuytelaars; Marc Proesmans; Luc Van Gool (ICIP (2), 1997)

Reading between the lines - a method for extracting dynamic 3D with texture. - Marc Proesmans; Luc Van Gool (VRST, 1997)

Special Lecture: 3D Modeling for Communications. - Luc Van Gool; Filip Defoort; Reinhard Koch; Marc Pollefeys; Marc Proesmans; Maarten Vergauwen (Computer Graphics International, 1998)

Reading between the lines: A method for extracting dynamic 3D with Texture. - Marc Proesmans; Luc Van Gool; Filip Defoort (ICCV, 1998)

A Cascaded Hough Transform as an Aid in Aerial Image Interpretation. - Tinne Tuytelaars; Luc Van Gool; Marc Proesmans; Theo Moons (ICCV, 1998)

Planar homologies as a basis for grouping and recognition. - Luc Van Gool; Marc Proesmans; Andrew Zisserman (Image Vis. Comput., 1998)

Invariant-based Registration of Surface Patches. - Joris Vanden Wyngaerd; Luc Van Gool; Reinhard Koch; Marc Proesmans (ICCV, 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 (IEEE International Workshop on Rapid System Prototyping, 1999)

Grouping Based on Coupled Diffusion Maps. - Marc Proesmans; Luc Van Gool (Shape, Contour and Grouping in Computer Vision, 1999)

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 (Confluence of Computer Vision and Computer Graphics, 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)

Insourcing, Outsourcing and Crowdsourcing 3D Collection Formation: Perspectives for Cultural Heritage Sites. - Jaime Kaminski; Karina Rodriguez-Echavarria; David Arnold 001; Gianpaolo Palma; Roberto Scopigno; Marc Proesmans; James Stevenson (VAST, 2012)

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 (SSRR, 2013)

Tackling Shapes and BRDFs Head-On. - Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (3DV, 2014)

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 (DigitalHERITAGE (1), 2015)

A Gaussian Process Latent Variable Model for BRDF Inference. - Stamatios Georgoulis; Vincent Vanweddingen; Marc Proesmans; Luc Van Gool (ICCV, 2015)

Autonomous Mapping of the Priscilla Catacombs. - Frank Verbiest; Marc Proesmans; Luc Van Gool (Mixed Reality and Gamification for Cultural Heritage, 2017)

Material Classification under Natural Illumination Using Reflectance Maps. - Stamatios Georgoulis; Vincent Vanweddingen; Marc Proesmans; Luc Van Gool (WACV, 2017)

Fast Scene Understanding for Autonomous Driving. - Davy Neven; Bert De Brabandere; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (CoRR, 2017)

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 (EuroMed (2), 2018)

Towards End-to-End Lane Detection: an Instance Segmentation Approach. - Davy Neven; Bert De Brabandere; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (Intelligent Vehicles Symposium, 2018)

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. - Davy Neven; Bert De Brabandere; Marc Proesmans; Luc Van Gool (CVPR, 2019)

End-to-end Lane Detection through Differentiable Least-Squares Fitting. - Wouter Van Gansbeke; Bert De Brabandere; Davy Neven; Marc Proesmans; Luc Van Gool (ICCV Workshops, 2019)

Uncertainty based model selection for fast semantic segmentation. - Yu-Hui Huang; Marc Proesmans; Stamatios Georgoulis; Luc Van Gool (MVA, 2019)

SCAN: Learning to Classify Images Without Labels. - Wouter Van Gansbeke; Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (ECCV (10), 2020)

Modeling the Effects of Windshield Refraction for Camera Calibration. - Frank Verbiest; Marc Proesmans; Luc Van Gool (ECCV (6), 2020)

Revisiting Multi-Task Learning in the Deep Learning Era. - Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Dengxin Dai; Luc Van Gool (CoRR, 2020)

Learning To Classify Images Without Labels. - Wouter Van Gansbeke; Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (CoRR, 2020)

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 (ICCVW, 2021)

Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty. - Robby Neven; Davy Neven; Bert De Brabandere; Marc Proesmans; Toon Goedemé (ICCVW, 2021)

CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences. - Yevhen Kuznietsov; Marc Proesmans; Luc Van Gool (WACV, 2021)

Context-aware Padding for Semantic Segmentation. - Yu-Hui Huang; Marc Proesmans; Luc Van Gool (CoRR, 2021)

TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. - Nicola Marinello; Marc Proesmans; Luc Van Gool (CVPR Workshops, 2022)

Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. - Yevhen Kuznietsov; Marc Proesmans; Luc Van Gool (WACV (Workshops), 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)

Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry. - Yevhen Kuznietsov; Marc Proesmans; Luc Van Gool (CIARP, 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 (CVPR, 2023)

Padding Investigations for CNNs in Scene Parsing Tasks. - Yu-Hui Huang; Marc Proesmans; Luc Van Gool (MVA, 2023)

Contrastive Learning for Multi-Object Tracking with Transformers. - Pierre-François De Plaen; Nicola Marinello; Marc Proesmans; Tinne Tuytelaars; Luc Van Gool (WACV, 2024)

Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes. - Nicola Marinello; Simen Cassiman; Jonas Heylen; Marc Proesmans; Luc Van Gool (CVPR Workshops, 2025)

Model Weights Reflect a Continuous Space of Input Image Domains. - Simen Cassiman; Marc Proesmans; Tinne Tuytelaars; Luc Van Gool (WACV (Workshops), 2025)

Adversarial Dependence Minimization. - Pierre-François De Plaen; Tinne Tuytelaars; Marc Proesmans; Luc Van Gool (CoRR, 2025)