7 citations · 7 across the 4 of their papers we have counts for
9 papers · 1 filter
ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval
Adriano Fragomeni, Michael Wray, Dima Damen
In this paper, we re-examine the task of cross-modal clip-sentence retrieval, where the clip is part of a longer untrimmed video. When the clip is short or visually ambiguous, know…
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval
Jonathan Munro, Michael Wray, Diane Larlus +2
Given a gallery of uncaptioned video sequences, this paper considers the task of retrieving videos based on their relevance to an unseen text query. To compensate for the lack of a…
On Semantic Similarity in Video Retrieval
Michael Wray, Hazel Doughty, Dima Damen
Current video retrieval efforts all found their evaluation on an instance-based assumption, that only a single caption is relevant to a query video and vice versa. We demonstrate t…
Supervision Levels Scale (SLS)
Dima Damen, Michael Wray
We propose a three-dimensional discrete and incremental scale to encode a method's level of supervision - i.e. the data and labels used when training a model to achieve a given per…
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
Since its introduction in 2018, EPIC-KITCHENS has attracted attention as the largest egocentric video benchmark, offering a unique viewpoint on people's interaction with objects, t…
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
Michael Wray, Diane Larlus, Gabriela Csurka +1
We address the problem of cross-modal fine-grained action retrieval between text and video. Cross-modal retrieval is commonly achieved through learning a shared embedding space, th…