👨💻
postdoc in vgg at university of oxford. researcher of multi-modal machine learning
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University of Oxford
- Oxford, UK
- robots.ox.ac.uk/~vi
- @_iashin
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video_features
video_features PublicExtract 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.
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Synchformer
Synchformer PublicSource code for "Synchformer: Efficient Synchronization from Sparse Cues" (ICASSP 2024)
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SparseSync
SparseSync PublicSource code for "Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors." (Spotlight at the BMVC 2022)
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…
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12
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in private repositories
Apr 1 – Apr 6