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  1. video_features Public

    Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

    Python 584 97

  2. SpecVQGAN Public

    Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

    Jupyter Notebook 360 39

  3. BMT Public

    Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

    Jupyter Notebook 227 57

  4. MDVC Public

    PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)

    Python 144 20

  5. Synchformer Public

    Source code for "Synchformer: Efficient Synchronization from Sparse Cues" (ICASSP 2024)

    Python 56 5

  6. SparseSync Public

    Source code for "Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors." (Spotlight at the BMVC 2022)

    Python 52 9

662 contributions in the last year

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Contribution activity

April 2025

Created an issue in KevinMusgrave/pytorch-metric-learning that received 2 comments

Some losses can't handle large vales in targets/labels

Here is an MWE: from pytorch_metric_learning import losses, miners, testers import torch loss_fn = losses.SupConLoss() N = 100 D = 128 emb = torch.r…

2 comments
12 contributions in private repositories Apr 1 – Apr 6
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