Andrew Zisserman

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Google ∙ University of Oxford

Professor of computer vision at the University of Oxford. Since 2014, he is also a member of DeepMind.

Featured Co-authors

Yang Liu
344 publications
Francis Bach
125 publications
Andrea Vedaldi
96 publications
Pushmeet Kohli
87 publications
Cordelia Schmid
86 publications
Oriol Vinyals
79 publications
Abhinav Gupta
76 publications
Ang Li
73 publications
Guillermo Sapiro
70 publications
William T. Freeman
53 publications
Julien Mairal
51 publications

Perceiver: General Perception with Iterative Attention

Biological systems understand the world by simultaneously processing hig...
03/04/2021 ∙ by Andrew Jaegle, et al. ∙ 18 ∙ share

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Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation

The objective of this paper is to design a computational architecture th...
11/23/2020 ∙ by Hala Lamdouar, et al. ∙ 8 ∙ share

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QuerYD: A video dataset with high-quality textual and audio narrations

We introduce QuerYD, a new large-scale dataset for retrieval and event l...
11/22/2020 ∙ by Andreea-Maria Oncescu, et al. ∙ 11 ∙ share

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A Short Note on the Kinetics-700-2020 Human Action Dataset

We describe the 2020 edition of the DeepMind Kinetics human action datas...
10/21/2020 ∙ by Lucas Smaira, et al. ∙ 0 ∙ share

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Self-supervised Co-training for Video Representation Learning

The objective of this paper is visual-only self-supervised video represe...
10/19/2020 ∙ by Tengda Han, et al. ∙ 9 ∙ share

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Watch, read and lookup: learning to spot signs from multiple supervisors

The focus of this work is sign spotting - given a video of an isolated s...
10/08/2020 ∙ by Liliane Momeni, et al. ∙ 8 ∙ share

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Layered Neural Rendering for Retiming People in Video

We present a method for retiming people in an ordinary, natural video—ma...
09/16/2020 ∙ by Erika Lu, et al. ∙ 10 ∙ share

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Adaptive Text Recognition through Visual Matching

In this work, our objective is to address the problems of generalization...
09/14/2020 ∙ by Chuhan Zhang, et al. ∙ 7 ∙ share

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Seeing wake words: Audio-visual Keyword Spotting

The goal of this work is to automatically determine whether and when a w...
09/02/2020 ∙ by Liliane Momeni, et al. ∙ 6 ∙ share

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Inducing Predictive Uncertainty Estimation for Face Recognition

Knowing when an output can be trusted is critical for reliably using fac...
09/01/2020 ∙ by Weidi Xie, et al. ∙ 4 ∙ share

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Self-Supervised Learning of Audio-Visual Objects from Video

Our objective is to transform a video into a set of discrete audio-visua...
08/10/2020 ∙ by Triantafyllos Afouras, et al. ∙ 7 ∙ share

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Memory-augmented Dense Predictive Coding for Video Representation Learning

The objective of this paper is self-supervised learning from video, in p...
08/03/2020 ∙ by Tengda Han, et al. ∙ 6 ∙ share

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RareAct: A video dataset of unusual interactions

This paper introduces a manually annotated video dataset of unusual acti...
08/03/2020 ∙ by Antoine Miech, et al. ∙ 15 ∙ share

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BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues

Recent progress in fine-grained gesture and action classification, and m...
07/23/2020 ∙ by Samuel Albanie, et al. ∙ 2 ∙ share

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CrossTransformers: spatially-aware few-shot transfer

Given new tasks with very little data–such as new classes in a classific...
07/22/2020 ∙ by Carl Doersch, et al. ∙ 1 ∙ share

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D2D: Learning to find good correspondences for image matching and manipulation

We propose a new approach to determining correspondences between image p...
07/16/2020 ∙ by Olivia Wiles, et al. ∙ 10 ∙ share

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Spot the conversation: speaker diarisation in the wild

The goal of this paper is speaker diarisation of videos collected 'in th...
07/02/2020 ∙ by Joon Son Chung, et al. ∙ 2 ∙ share

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Self-Supervised MultiModal Versatile Networks

Videos are a rich source of multi-modal supervision. In this work, we le...
06/29/2020 ∙ by Jean-Baptiste Alayrac, et al. ∙ 82 ∙ share

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Counting Out Time: Class Agnostic Video Repetition Counting in the Wild

We present an approach for estimating the period with which an action is...
06/27/2020 ∙ by Debidatta Dwibedi, et al. ∙ 4 ∙ share

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LSD-C: Linearly Separable Deep Clusters

We present LSD-C, a novel method to identify clusters in an unlabeled da...
06/17/2020 ∙ by Sylvestre-Alvise Rebuffi, et al. ∙ 9 ∙ share

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Condensed Movies: Story Based Retrieval with Contextual Embeddings

Our objective in this work is the long range understanding of the narrat...
05/08/2020 ∙ by Max Bain, et al. ∙ 10 ∙ share

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The AVA-Kinetics Localized Human Actions Video Dataset

This paper describes the AVA-Kinetics localized human actions video data...
05/01/2020 ∙ by Ang Li, et al. ∙ 6 ∙ share

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VGGSound: A Large-scale Audio-Visual Dataset

Our goal is to collect a large-scale audio-visual dataset with low label...
04/29/2020 ∙ by Honglie Chen, et al. ∙ 9 ∙ share

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Monocular Depth Estimation with Self-supervised Instance Adaptation

Recent advances in self-supervised learning havedemonstrated that it is ...
04/13/2020 ∙ by Robert McCraith, et al. ∙ 1 ∙ share

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Speech2Action: Cross-modal Supervision for Action Recognition

Is it possible to guess human action from dialogue alone? In this work w...
03/30/2020 ∙ by Arsha Nagrani, et al. ∙ 6 ∙ share

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Compact Deep Aggregation for Set Retrieval

The objective of this work is to learn a compact embedding of a set of d...
03/26/2020 ∙ by Yujie Zhong, et al. ∙ 9 ∙ share

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Visual Grounding in Video for Unsupervised Word Translation

There are thousands of actively spoken languages on Earth, but a single ...
03/11/2020 ∙ by Gunnar A. Sigurdsson, et al. ∙ 8 ∙ share

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Disentangled Speech Embeddings using Cross-modal Self-supervision

The objective of this paper is to learn representations of speaker ident...
02/20/2020 ∙ by Arsha Nagrani, et al. ∙ 17 ∙ share

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Automatically Discovering and Learning New Visual Categories with Ranking Statistics

We tackle the problem of discovering novel classes in an image collectio...
02/13/2020 ∙ by Kai Han, et al. ∙ 13 ∙ share

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End-to-End Learning of Visual Representations from Uncurated Instructional Videos

Annotating videos is cumbersome, expensive and not scalable. Yet, many s...
12/13/2019 ∙ by Antoine Miech, et al. ∙ 35 ∙ share

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Synthetic Humans for Action Recognition from Unseen Viewpoints

Our goal in this work is to improve the performance of human action reco...
12/09/2019 ∙ by Gül Varol, et al. ∙ 17 ∙ share

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VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well...
12/05/2019 ∙ by Joon Son Chung, et al. ∙ 5 ∙ share

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ASR is all you need: cross-modal distillation for lip reading

The goal of this work is to train strong models for visual speech recogn...
11/28/2019 ∙ by Triantafyllos Afouras, et al. ∙ 24 ∙ share

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Self-supervised learning of class embeddings from video

This work explores how to use self-supervised learning on videos to lear...
10/28/2019 ∙ by Olivia Wiles, et al. ∙ 41 ∙ share

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Controllable Attention for Structured Layered Video Decomposition

The objective of this paper is to be able to separate a video into its n...
10/24/2019 ∙ by Jean-Baptiste Alayrac, et al. ∙ 24 ∙ share

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Count, Crop and Recognise: Fine-Grained Recognition in the Wild

The goal of this paper is to label all the animal individuals present in...
09/19/2019 ∙ by Max Bain, et al. ∙ 34 ∙ share

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Video Representation Learning by Dense Predictive Coding

The objective of this paper is self-supervised learning of spatio-tempor...
09/10/2019 ∙ by Tengda Han, et al. ∙ 16 ∙ share

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Geometry-Aware Video Object Detection for Static Cameras

In this paper we propose a geometry-aware model for video object detecti...
09/06/2019 ∙ by Dan Xu, et al. ∙ 34 ∙ share

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Learning to Discover Novel Visual Categories via Deep Transfer Clustering

We consider the problem of discovering novel object categories in an ima...
08/26/2019 ∙ by Kai Han, et al. ∙ 112 ∙ share

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EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition

We focus on multi-modal fusion for egocentric action recognition, and pr...
08/22/2019 ∙ by Evangelos Kazakos, et al. ∙ 12 ∙ share

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AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations

We propose AutoCorrect, a method to automatically learn object-annotatio...
08/14/2019 ∙ by Honglie Chen, et al. ∙ 0 ∙ share

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Use What You Have: Video Retrieval Using Representations From Collaborative Experts

The rapid growth of video on the internet has made searching for video c...
07/31/2019 ∙ by Yang Liu, et al. ∙ 3 ∙ share

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A Short Note on the Kinetics-700 Human Action Dataset

We describe an extension of the DeepMind Kinetics human action dataset f...
07/15/2019 ∙ by Joao Carreira, et al. ∙ 1 ∙ share

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My lips are concealed: Audio-visual speech enhancement through obstructions

Our objective is an audio-visual model for separating a single speaker f...
07/11/2019 ∙ by Triantafyllos Afouras, et al. ∙ 3 ∙ share

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Sim2real transfer learning for 3D pose estimation: motion to the rescue

Simulation is an anonymous, low-bias source of data where annotation can...
07/04/2019 ∙ by Carl Doersch, et al. ∙ 1 ∙ share

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Unsupervised Learning of Object Keypoints for Perception and Control

The study of object representations in computer vision has primarily foc...
06/19/2019 ∙ by Tejas Kulkarni, et al. ∙ 0 ∙ share

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Training Neural Networks for and by Interpolation

The majority of modern deep learning models are able to interpolate the ...
06/13/2019 ∙ by Leonard Berrada, et al. ∙ 0 ∙ share

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LAEO-Net: revisiting people Looking At Each Other in videos

Capturing the `mutual gaze' of people is essential for understanding and...
06/12/2019 ∙ by Manuel J. Marín-Jimenez, et al. ∙ 8 ∙ share

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A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

Medical imaging only indirectly measures the molecular identity of the t...
05/30/2019 ∙ by Simon A. A. Kohl, et al. ∙ 5 ∙ share

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Object Discovery with a Copy-Pasting GAN

We tackle the problem of object discovery, where objects are segmented f...
05/27/2019 ∙ by Relja Arandjelović, et al. ∙ 12 ∙ share

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