2.3k citations · 5.5k across the 42 of their papers we have counts for
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VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge
Joon Son Chung, Arsha Nagrani, Ernesto Coto +4
The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well current speaker recognition technology is able to identify speakers in unconstrained or `in the wild' data.…
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…
WiCV 2019: The Sixth Women In Computer Vision Workshop
Irene Amerini, Elena Balashova, Sayna Ebrahimi +3
In this paper we present the Women in Computer Vision Workshop - WiCV 2019, organized in conjunction with CVPR 2019. This event is meant for increasing the visibility and inclusion…
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman +1
We focus on multi-modal fusion for egocentric action recognition, and propose a novel architecture for multi-modal temporal-binding, i.e. the combination of modalities within a ran…
Use What You Have: Video Retrieval Using Representations From Collaborative Experts
Yang Liu, Samuel Albanie, Arsha Nagrani +1
The rapid growth of video on the internet has made searching for video content using natural language queries a significant challenge. Human-generated queries for video datasets `i…
Utterance-level Aggregation For Speaker Recognition In The Wild
Weidi Xie, Arsha Nagrani, Joon Son Chung +1
The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals. Crucial elements in the design of d…