273 citations · 1.4k across the 86 of their papers we have counts for
10 papers · 1 filter
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge
Arsha Nagrani, Joon Son Chung, Jaesung Huh +6
We held the second installment of the VoxCeleb Speaker Recognition Challenge in conjunction with Interspeech 2020. The goal of this challenge was to assess how well current speaker…
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
Hala Lamdouar, Charig Yang, Weidi Xie +1
The objective of this paper is to design a computational architecture that discovers camouflaged objects in videos, specifically by exploiting motion information to perform object…
Self-supervised Co-training for Video Representation Learning
Tengda Han, Weidi Xie, Andrew Zisserman
The objective of this paper is visual-only self-supervised video representation learning. We make the following contributions: (i) we investigate the benefit of adding semantic-cla…
Layered Neural Rendering for Retiming People in Video
Erika Lu, Forrester Cole, Tali Dekel +5
We present a method for retiming people in an ordinary, natural video -- manipulating and editing the time in which different motions of individuals in the video occur. We can temp…
Inducing Predictive Uncertainty Estimation for Face Recognition
Weidi Xie, Jeffrey Byrne, Andrew Zisserman
Knowing when an output can be trusted is critical for reliably using face recognition systems. While there has been enormous effort in recent research on improving face verificatio…
Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han, Weidi Xie, Andrew Zisserman
The objective of this paper is self-supervised learning from video, in particular for representations for action recognition. We make the following contributions: (i) We propose a…
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Andrew Brown, Weidi Xie, Vicky Kalogeiton +1
Optimising a ranking-based metric, such as Average Precision (AP), is notoriously challenging due to the fact that it is non-differentiable, and hence cannot be optimised directly…
Self-supervised Video Object Segmentation
Fangrui Zhu, Li Zhang, Yanwei Fu +2
The objective of this paper is self-supervised representation learning, with the goal of solving semi-supervised video object segmentation (a.k.a. dense tracking). We make the foll…
VGGSound: A Large-scale Audio-Visual Dataset
Honglie Chen, Weidi Xie, Andrea Vedaldi +1
Our goal is to collect a large-scale audio-visual dataset with low label noise from videos in the wild using computer vision techniques. The resulting dataset can be used for train…
MAST: A Memory-Augmented Self-supervised Tracker
Zihang Lai, Erika Lu, Weidi Xie
Recent interest in self-supervised dense tracking has yielded rapid progress, but performance still remains far from supervised methods. We propose a dense tracking model trained o…