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2020 – today
- 2024
[c44]Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. WACV 2024: 6853-6863- 2023
- [c43]Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry. CIARP 2023: 674-684 - [c42]Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens
, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CVPR 2023: 3198-3207 - [c41]Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Padding Investigations for CNNs in Scene Parsing Tasks. MVA 2023: 1-5 - [i12]Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CoRR abs/2307.02402 (2023) - [i11]Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. CoRR abs/2311.08043 (2023) - 2022
- [j4]Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3614-3633 (2022) - [c40]Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CVPR Workshops 2022: 4499-4509 - [c39]Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. WACV (Workshops) 2022: 261-271 - [i10]Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CoRR abs/2210.16204 (2022) - 2021
- [c38]Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. ICCVW 2021: 923-934 - [c37]Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé:
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty. ICCVW 2021: 1678-1686 - [c36]Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences. WACV 2021: 2906-2916 - [i9]Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Context-aware Padding for Semantic Segmentation. CoRR abs/2109.07854 (2021) - [i8]Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. CoRR abs/2110.00464 (2021) - [i7]Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé:
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty. CoRR abs/2110.05926 (2021) - 2020
- [c35]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
SCAN: Learning to Classify Images Without Labels. ECCV (10) 2020: 268-285 - [c34]Frank Verbiest, Marc Proesmans, Luc Van Gool:
Modeling the Effects of Windshield Refraction for Camera Calibration. ECCV (6) 2020: 397-412 - [i6]Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Revisiting Multi-Task Learning in the Deep Learning Era. CoRR abs/2004.13379 (2020) - [i5]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Learning To Classify Images Without Labels. CoRR abs/2005.12320 (2020)
2010 – 2019
- 2019
- [c33]Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool:
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. CVPR 2019: 8837-8845 - [c32]Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. ICCV Workshops 2019: 905-913 - [c31]Yu-Hui Huang, Marc Proesmans, Stamatios Georgoulis, Luc Van Gool:
Uncertainty based model selection for fast semantic segmentation. MVA 2019: 1-6 - [i4]Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. CoRR abs/1902.00293 (2019) - [i3]Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool:
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. CoRR abs/1906.11109 (2019) - 2018
- [c30]Vincent Vanweddingen, Chris Vastenhoud, Marc Proesmans, Hendrik Hameeuw, Bruno Vandermeulen, Athena Van der Perre, Frederic Lemmers, Lieve Watteeuw, Luc Van Gool:
A Status Quaestionis and Future Solutions for Using Multi-light Reflectance Imaging Approaches for Preserving Cultural Heritage Artifacts. EuroMed (2) 2018: 204-211 - [c29]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. Intelligent Vehicles Symposium 2018: 286-291 - [i2]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. CoRR abs/1802.05591 (2018) - 2017
- [c28]Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool:
Material Classification under Natural Illumination Using Reflectance Maps. WACV 2017: 244-253 - [p3]Frank Verbiest, Marc Proesmans, Luc Van Gool:
Autonomous Mapping of the Priscilla Catacombs. Mixed Reality and Gamification for Cultural Heritage 2017: 75-98 - [i1]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Fast Scene Understanding for Autonomous Driving. CoRR abs/1708.02550 (2017) - 2015
- [c27]Vittorio Amos Ziparo, Fabio Cottefoglie, Daniele Calisi, Francesca Giannone, Giorgio Grisetti, Bastian Leibe, Marc Proesmans, Paolo Salonia, Luc Van Gool, Claudia Ventura, Cyrill Stachniss:
A new approach to digitalization and data management of cultural heritage sites. DigitalHERITAGE (1) 2015: 143-146 - [c26]Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool:
A Gaussian Process Latent Variable Model for BRDF Inference. ICCV 2015: 3559-3567 - 2014
- [c25]Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Tackling Shapes and BRDFs Head-On. 3DV 2014: 267-274 - 2013
- [c24]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:
Exploration and mapping of catacombs with mobile robots. SSRR 2013: 1-2 - 2012
- [c23]Jaime Kaminski, Karina Rodriguez-Echavarria, David Arnold, Gianpaolo Palma, Roberto Scopigno, Marc Proesmans, James Stevenson:
Insourcing, Outsourcing and Crowdsourcing 3D Collection Formation: Perspectives for Cultural Heritage Sites. VAST 2012: 81-88
2000 – 2009
- 2000
- [j3]Tanja Van Achteren, Marleen Adé, Rudy Lauwereins, Marc Proesmans, Luc Van Gool, Jan Bormans, Francky Catthoor:
Transformations of a 3D Image Reconstruction Algorithm for Data Transfer and Storage Optimisation. Des. Autom. Embed. Syst. 5(3-4): 313-327 (2000) - [p2]Luc Van Gool, Filip Defoort, Johannes Hug, Gregor Arthur Kalberer, Reinhard Koch, Danny Martens, Marc Pollefeys, Marc Proesmans, Maarten Vergauwen, Alexey Zalesny:
Image-Based 3D Modeling: Modeling from Reality. Confluence of Computer Vision and Computer Graphics 2000: 161-178
1990 – 1999
- 1999
- [c22]Joris Vanden Wyngaerd, Luc Van Gool, Reinhard Koch, Marc Proesmans:
Invariant-based Registration of Surface Patches. ICCV 1999: 301-306 - [c21]Tanja Van Achteren, Marleen Adé, Rudy Lauwereins, Marc Proesmans, Luc Van Gool, Jan Bormans, Francky Catthoor:
Transformations of a 3D Image Reconstruction Algorithm for Data Transfer and Storage Optimization. IEEE International Workshop on Rapid System Prototyping 1999: 81-86 - [c20]Marc Proesmans, Luc Van Gool:
Grouping Based on Coupled Diffusion Maps. Shape, Contour and Grouping in Computer Vision 1999: 196-216 - 1998
- [j2]Luc Van Gool, Marc Proesmans, Andrew Zisserman:
Planar homologies as a basis for grouping and recognition. Image Vis. Comput. 16(1): 21-26 (1998) - [c19]Luc Van Gool, Filip Defoort, Reinhard Koch, Marc Pollefeys, Marc Proesmans, Maarten Vergauwen:
Special Lecture: 3D Modeling for Communications. Computer Graphics International 1998: 482-489 - [c18]Tinne Tuytelaars, Luc Van Gool, Marc Proesmans, Theo Moons:
A Cascaded Hough Transform as an Aid in Aerial Image Interpretation. ICCV 1998: 67-72 - [c17]Marc Proesmans, Luc Van Gool, Filip Defoort:
Reading between the lines: A method for extracting dynamic 3D with Texture. ICCV 1998: 1081-1086 - 1997
- [c16]Marc Proesmans, Luc Van Gool:
One-shot active 3D image capture. Three-Dimensional Image Capture 1997: 50-61 - [c15]Tinne Tuytelaars, Marc Proesmans, Luc Van Gool:
The Cascaded Hough Transform as Support for Grouping and Finding Vanishing Points and Lines. AFPAC 1997: 278-289 - [c14]Marc Proesmans, Luc Van Gool:
One-shot 3D-shape and Texture Acquisition of Facial Data. AVBPA 1997: 411-418 - [c13]Tinne Tuytelaars, Marc Proesmans, Luc Van Gool:
The Cascaded Hough Transforms. ICIP (2) 1997: 736-739 - [c12]Marc Proesmans, Luc Van Gool:
Reading between the lines - a method for extracting dynamic 3D with texture. VRST 1997: 95-102 - 1996
- [j1]Theo Moons, Luc Van Gool, Marc Proesmans, Eric J. Pauwels:
Affine Reconstruction from Perspective Image Pairs with a Relative Object-Camera Translation in Between. IEEE Trans. Pattern Anal. Mach. Intell. 18(1): 77-83 (1996) - [c11]Luc Van Gool, Theo Moons, Marc Proesmans:
Mirror and Point Symmetry under Perspective Skewing. CVPR 1996: 285-292 - [c10]Marc Pollefeys, Luc Van Gool, Marc Proesmans:
Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts. ECCV (1) 1996: 31-42 - [c9]Marc Proesmans, Luc Van Gool, André Oosterlinck:
Active acquisition of 3D shape for moving objects. ICIP (3) 1996: 647-650 - [c8]Marc Proesmans, Luc Van Gool, André Oosterlinck:
One-shot active 3D shape acquisition. ICPR 1996: 336-340 - 1995
- [c7]Luc Van Gool, Theo Moons, Marc Proesmans:
Groups for Grouping: A Strategy for the Exploitation of Geometrical Constraints. CAIP 1995: 1-8 - [c6]Luc Van Gool, Theo Moons, Marc Proesmans, André Oosterlinck:
Groups, fixed sets, symmetries, and invariants. ICIP (3) 1995: 356-359 - 1994
- [c5]Marc Proesmans, Luc Van Gool, Eric J. Pauwels, André Oosterlinck:
Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion. ECCV (2) 1994: 295-304 - [c4]Luc Van Gool, Theo Moons, Marc Proesmans, Marc Van Diest:
Affine reconstruction from perspective image pairs obtained by a translating camera. ICPR (1) 1994: 290-294 - [p1]Marc Proesmans, Eric J. Pauwels, Luc Van Gool:
Coupled Geometry-Driven Diffusion Equations for Low-Level Vision. Geometry-Driven Diffusion in Computer Vision 1994: 191-228 - 1993
- [c3]Marc Proesmans, Eric J. Pauwels, Luc Van Gool, Theo Moons, André Oosterlinck:
Image enhancement using non-linear diffusion. CVPR 1993: 680-681 - [c2]Dorin Ungureanu, Marc Proesmans, Luc Van Gool, André Oosterlinck, Jeroen Zegers, J. Decaluwe:
A real-time edge linker. CVPR 1993: 793-794 - [c1]Eric J. Pauwels, Marc Proesmans, Luc Van Gool, Theo Moons, André Oosterlinck:
Segmentation and image enhancement using coupled anisotropic diffusion equations. VCIP 1993
Coauthor Index
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last updated on 2024-04-25 05:57 CEST by the dblp team
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