🎯
Focusing
Research Scientist at Google DeepMind.
PhD in Computer Vision.
Interested in self-supervised learning, multi-modal learning and generative learning.
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Google DeepMind
- London, UK
- https://wvangansbeke.github.io/
- @WGansbeke
- in/woutervangansbeke
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Unsupervised-Classification
Unsupervised-Classification PublicSCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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Sparse-Depth-Completion
Sparse-Depth-Completion PublicPredict 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
Unsupervised-Semantic-Segmentation PublicUnsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
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Revisiting-Contrastive-SSL
Revisiting-Contrastive-SSL PublicRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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Self-Supervised-Learning-Overview
Self-Supervised-Learning-Overview Public📜 Self-Supervised Learning from Images: Up-to-date reading list.
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segments-ai/latent-diffusion-segmentation
segments-ai/latent-diffusion-segmentation PublicA Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [2024]
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