Researcher
Marc Proesmans
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From15 Aug 2011 → 31 Jul 2020
Projects
1 - 4 of 4
- Visual scene understanding for model selection in autonomous drivingFrom3 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Response of autonomous cars to emergency servicesFrom22 Dec 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- 3D sorround vehicle awareness and re-identification for autonomous driving applicationsFrom6 Jul 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Vision-based spatial awareness for autonomous carsFrom26 Jun 2018 → 26 Jun 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 19
- Multi-task learning for dense prediction tasks: A survey(2022)
Authors: Simon Vandenhende, Wouter Van Gansbeke, Marc Proesmans, Luc Van Gool
- The painted panels of the early sixteenth century Mechelen Enclosed Gardens Art technical Examination with the Photometric Stereo: White Light and Multispectral Microdomes(2021)
Authors: Hendrik Hameeuw, Godelieve Watteeuw, Marc Proesmans
Pages: 165 - 175Number of pages: 10 - Pixel+: integrating and standardizing of various interactive single-camera, multi-light imagery(2020)
Authors: Hendrik Hameeuw, Godelieve Watteeuw, Athena Van der Perre, Luc Van Gool, Marc Proesmans
Number of pages: 11 - SCAN: Learning to classify images without labels(2020)
Authors: Wouter Van Gansbeke, Simon Vandenhende, Marc Proesmans, Luc Van Gool
Pages: 268 - 285 - Modeling the effects of windshield refraction for camera calibration(2020)
Authors: Frank Verbiest, Marc Proesmans, Luc Van Gool
Pages: 397 - 412 - Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth(2019)
Authors: Davy Neven, Marc Proesmans, Luc Van Gool
Pages: 8829 - 8837 - End-to-end Lane Detection through Differentiable Least-Squares Fitting(2019)
Authors: Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool
Pages: 905 - 913 - Towards End-to-End Lane Detection: An Instance Segmentation Approach(2018)
Authors: Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Pages: 286 - 291 - A Status Quaestionis and Future Solutions for Using Multi-light Reflectance Imaging Approaches for Preserving Cultural Heritage Artifacts(2018)
Authors: Marc Proesmans, Hendrik Hameeuw, Athena Van der Perre, Godelieve Watteeuw, Luc Van Gool
Pages: 204 - 211Number of pages: 8 - Bridging Multi-light & Multi-Spectral images to study, preserve and disseminate archival documents(2018)
Authors: Hendrik Hameeuw, Godelieve Watteeuw, Luc Van Gool, Marc Proesmans
Pages: 64 - 69
Patents
1 - 7 of 7
- A camera calibration method, a computer program, a computer-readable recording medium and a camera calibration system (Inventor)
- Method and system for processing a plurality of images so as to detect lanes on a road (Inventor)
- Systems and methods for image normalization (Inventor)
- Method and system for processing an image and performing instance segmentation using affinity graphs (Inventor)
- System and method for generating a mask for object instances in an image (Inventor)
- Method and system for processing an image to detect lanes marked on a road (Inventor)
- Method and system for training a neural network to be used for semantic instance segmentation (Inventor)