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@wvangansbeke
wvangansbeke
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Wouter Van Gansbeke wvangansbeke

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Research Scientist at Google DeepMind.PhD in Computer Vision.Interested in multi-modal learning, generative learning, and RL.

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  1. Unsupervised-ClassificationUnsupervised-ClassificationPublic

    SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

    Python 1.4k 270

  2. Revisiting-Contrastive-SSLRevisiting-Contrastive-SSLPublic

    Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

    Python 88 11

  3. segments-ai/latent-diffusion-segmentationsegments-ai/latent-diffusion-segmentationPublic

    A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [ECCV 2024]

    Python 74 6

  4. Sparse-Depth-CompletionSparse-Depth-CompletionPublic

    Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

    Python 492 78

  5. Unsupervised-Semantic-SegmentationUnsupervised-Semantic-SegmentationPublic

    Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

    Python 410 54

  6. Self-Supervised-Learning-OverviewSelf-Supervised-Learning-OverviewPublic

    📜 Self-Supervised Learning from Images: Up-to-date reading list.

    198 24


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