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ORCIDWouter Van Gansbeke
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2020 – today
- 2024
[c7]Saman Motamed
, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CVPR Workshops 2024: 7406-7415- [c6]Wouter Van Gansbeke, Bert De Brabandere:
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting. ECCV (15) 2024: 78-97 - [i10]Wouter Van Gansbeke, Bert De Brabandere:
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting. CoRR abs/2401.10227 (2024) - [i9]Saman Motamed, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CoRR abs/2404.05519 (2024) - [i8]Nedyalko Prisadnikov, Wouter Van Gansbeke, Danda Pani Paudel, Luc Van Gool:
A Simple and Generalist Approach for Panoptic Segmentation. CoRR abs/2408.16504 (2024) - 2022
- [j2]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) - [i7]Wouter Van Gansbeke, Simon Vandenhende, Luc Van Gool:
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation. CoRR abs/2206.06363 (2022) - 2021
- [c5]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV 2021: 10032-10042 - [c4]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. NeurIPS 2021: 16238-16250 - [i6]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. CoRR abs/2102.06191 (2021) - [i5]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. CoRR abs/2106.05967 (2021) - 2020
- [j1]Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. IEEE Robotics Autom. Lett. 5(4): 6813-6820 (2020) - [c3]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
SCAN: Learning to Classify Images Without Labels. ECCV (10) 2020: 268-285 - [i4]Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. CoRR abs/2001.02613 (2020) - [i3]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
- [c2]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 - [c1]Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool:
Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty. MVA 2019: 1-6 - [i2]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) - [i1]Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool:
Sparse and noisy LiDAR completion with RGB guidance and uncertainty. CoRR abs/1902.05356 (2019)
Coauthor Index
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