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cs.CV2022★ 25 cited
A CLIP-Hitchhiker's Guide to Long Video Retrieval
Max Bain, Arsha Nagrani, Gül Varol +1
Our goal in this paper is the adaptation of image-text models for long video retrieval. Recent works have demonstrated state-of-the-art performance in video retrieval by adopting C…
cs.CV2020
Condensed Movies: Story Based Retrieval with Contextual Embeddings
Max Bain, Arsha Nagrani, Andrew Brown +1
Our objective in this work is long range understanding of the narrative structure of movies. Instead of considering the entire movie, we propose to learn from the `key scenes' of t…
cs.CV2019
Count, Crop and Recognise: Fine-Grained Recognition in the Wild
Max Bain, Arsha Nagrani, Daniel Schofield +1
The goal of this paper is to label all the animal individuals present in every frame of a video. Unlike previous methods that have principally concentrated on labelling face tracks…