Andrew Zisserman

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∙ 2 followers
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
285 publications
Francis Bach
119 publications
Andrea Vedaldi
90 publications
Pushmeet Kohli
81 publications
Abhinav Gupta
79 publications
Cordelia Schmid
77 publications
Oriol Vinyals
75 publications
Guillermo Sapiro
65 publications
Ang Li
58 publications
Julien Mairal
51 publications
Phil Blunsom
48 publications

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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Semi-Supervised Learning with Scarce Annotations

While semi-supervised learning (SSL) algorithms provide an efficient way...
05/21/2019 ∙ by Sylvestre-Alvise Rebuffi, et al. ∙ 3 ∙ share

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Exploiting temporal context for 3D human pose estimation in the wild

We present a bundle-adjustment-based algorithm for recovering accurate 3...
05/10/2019 ∙ by Anurag Arnab, et al. ∙ 8 ∙ share

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A Geometric Approach to Obtain a Bird's Eye View from an Image

The objective of this paper is to rectify any monocular image by computi...
05/06/2019 ∙ by Ammar Abbas, et al. ∙ 32 ∙ share

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The VGG Image Annotator (VIA)

Manual image annotation, such as defining and labelling regions of inter...
04/24/2019 ∙ by Abhishek Dutta, et al. ∙ 30 ∙ share

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Temporal Cycle-Consistency Learning

We introduce a self-supervised representation learning method based on t...
04/16/2019 ∙ by Debidatta Dwibedi, et al. ∙ 2 ∙ share

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The StreetLearn Environment and Dataset

Navigation is a rich and well-grounded problem domain that drives progre...
03/04/2019 ∙ by Piotr Mirowski, et al. ∙ 8 ∙ share

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Utterance-level Aggregation For Speaker Recognition In The Wild

The objective of this paper is speaker recognition "in the wild"-where u...
02/26/2019 ∙ by Weidi Xie, et al. ∙ 2 ∙ share

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Video Action Transformer Network

We introduce the Action Transformer model for recognizing and localizing...
12/06/2018 ∙ by Rohit Girdhar, et al. ∙ 20 ∙ share

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The Visual Centrifuge: Model-Free Layered Video Representations

True video understanding requires making sense of non-lambertian scenes ...
12/04/2018 ∙ by Jean-Baptiste Alayrac, et al. ∙ 2 ∙ share

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Deep Frank-Wolfe For Neural Network Optimization

Learning a deep neural network requires solving a challenging optimizati...
11/19/2018 ∙ by Leonard Berrada, et al. ∙ 0 ∙ share

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Class-Agnostic Counting

Nearly all existing counting methods are designed for a specific object ...
11/01/2018 ∙ by Erika Lu, et al. ∙ 8 ∙ share

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GhostVLAD for set-based face recognition

The objective of this paper is to learn a compact representation of imag...
10/23/2018 ∙ by Yujie Zhong, et al. ∙ 0 ∙ share

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Learning to Read by Spelling: Towards Unsupervised Text Recognition

This work presents a method for visual text recognition without using an...
09/23/2018 ∙ by Ankush Gupta, et al. ∙ 6 ∙ share

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From Same Photo: Cheating on Visual Kinship Challenges

With the propensity for deep learning models to learn unintended signals...
09/17/2018 ∙ by Mitchell Dawson, et al. ∙ 6 ∙ share

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Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings

Neural networks achieve the state-of-the-art in image classification tas...
09/06/2018 ∙ by Mohsan Alvi, et al. ∙ 0 ∙ share

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Deep Audio-Visual Speech Recognition

The goal of this work is to recognise phrases and sentences being spoken...
09/06/2018 ∙ by Triantafyllos Afouras, et al. ∙ 2 ∙ share

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