Focusing
PhD researcher at KU Leuven.
Especially interested in computer vision, machine learning and deep learning. Working on self-supervised and multi-task learning.
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KU Leuven
- Belgium, Leuven
- https://wvangansbeke.github.io/
- @WGansbeke
Highlights
- Pro
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Unsupervised-Classification Public
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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Sparse-Depth-Completion Public
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [2019]
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Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
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Revisiting-Contrastive-SSL Public
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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📜 Self-Supervised Learning from Images: Up-to-date reading list.
184 contributions in the last year
Activity overview
Contributed to
wvangansbeke/Unsupervised-Classification,
wvangansbeke/MaskDistill,
wvangansbeke/Unsupervised-Semantic-Segmentation
and 3 other
repositories
Contribution activity
July 2022
wvangansbeke has no activity
yet for this period.

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