Vladimir Iashin

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

v-iashin

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

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

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

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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.

v-iashin

The back-end for the YOLOv3 object detector running as a webapp

v-iashin

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

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