Andrew Zisserman

research

∙ 06/27/2022

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

This paper proposes a novel transformer-based model architecture for med...

Rhydian Windsor, et al. ∙

research

∙ 05/17/2022

A CLIP-Hitchhiker's Guide to Long Video Retrieval

Our goal in this paper is the adaptation of image-text models for long v...

Max Bain, et al. ∙

research

∙ 05/09/2022

Scaling up sign spotting through sign language dictionaries

The focus of this work is sign spotting - given a video of an isolated s...

Gul Varol, et al. ∙

research

∙ 05/03/2022

SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans

This technical report presents SpineNetV2, an automated tool which: (i) ...

Rhydian Windsor, et al. ∙

research

∙ 04/29/2022

Flamingo: a Visual Language Model for Few-Shot Learning

Building models that can be rapidly adapted to numerous tasks using only...

Jean-Baptiste Alayrac, et al. ∙

research

∙ 04/06/2022

Temporal Alignment Networks for Long-term Video

The objective of this paper is a temporal alignment network that ingests...

Tengda Han, et al. ∙

research

∙ 03/16/2022

Object discovery and representation networks

The promise of self-supervised learning (SSL) is to leverage large amoun...

Olivier J. Hénaff, et al. ∙

research

∙ 02/22/2022

Hierarchical Perceiver

General perception systems such as Perceivers can process arbitrary moda...

Joao Carreira, et al. ∙

research

∙ 01/07/2022

Generalized Category Discovery

In this paper, we consider a highly general image recognition setting wh...

Sagar Vaze, et al. ∙

research

∙ 12/13/2021

Tracking and Long-Term Identification Using Non-Visual Markers

Our objective is to track and identify mice in a cluttered home-cage env...

Michael P. J. Camilleri, et al. ∙

research

∙ 12/10/2021

Label, Verify, Correct: A Simple Few Shot Object Detection Method

The objective of this paper is few-shot object detection (FSOD) – the ta...

Prannay Kaul, et al. ∙

research

∙ 12/08/2021

Audio-Visual Synchronisation in the wild

In this paper, we consider the problem of audio-visual synchronisation a...

Honglie Chen, et al. ∙

research

∙ 12/06/2021

Input-level Inductive Biases for 3D Reconstruction

Much of the recent progress in 3D vision has been driven by the developm...

Wang Yifan, et al. ∙

research

∙ 11/17/2021

It's About Time: Analog Clock Reading in the Wild

In this paper, we present a framework for reading analog clocks in natur...

Charig Yang, et al. ∙

research

∙ 11/05/2021

BBC-Oxford British Sign Language Dataset

In this work, we introduce the BBC-Oxford British Sign Language (BOBSL) ...

Samuel Albanie, et al. ∙

research

∙ 11/01/2021

With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition

In egocentric videos, actions occur in quick succession. We capitalise o...

Evangelos Kazakos, et al. ∙

research

∙ 10/29/2021

Visual Keyword Spotting with Attention

In this paper, we consider the task of spotting spoken keywords in silen...

K R Prajwal, et al. ∙

research

∙ 10/14/2021

Sub-word Level Lip Reading With Visual Attention

The goal of this paper is to learn strong lip reading models that can re...

Prajwal K R, et al. ∙

research

∙ 10/12/2021

Open-Set Recognition: A Good Closed-Set Classifier is All You Need

The ability to identify whether or not a test sample belongs to one of t...

Sagar Vaze, et al. ∙

research

∙ 09/27/2021

PASS: An ImageNet replacement for self-supervised pretraining without humans

Computer vision has long relied on ImageNet and other large datasets of ...

Yuki M. Asano, et al. ∙

research

∙ 07/30/2021

Perceiver IO: A General Architecture for Structured Inputs Outputs

The recently-proposed Perceiver model obtains good results on several do...

Andrew Jaegle, et al. ∙

research

∙ 07/14/2021

Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging

This paper explores the use of self-supervised deep learning in medical ...

Rhydian Windsor, et al. ∙

research

∙ 06/29/2021

AutoNovel: Automatically Discovering and Learning Novel Visual Categories

We tackle the problem of discovering novel classes in an image collectio...

Kai Han, et al. ∙

research

∙ 06/09/2021

NeRF in detail: Learning to sample for view synthesis

Neural radiance fields (NeRF) methods have demonstrated impressive novel...

Relja Arandjelović, et al. ∙

research

∙ 05/20/2021

Comment on Stochastic Polyak Step-Size: Performance of ALI-G

This is a short note on the performance of the ALI-G algorithm (Berrada ...

Leonard Berrada, et al. ∙

research

∙ 05/14/2021

Omnimatte: Associating Objects and Their Effects in Video

Computer vision is increasingly effective at segmenting objects in image...

Erika Lu, et al. ∙

research

∙ 05/06/2021

Aligning Subtitles in Sign Language Videos

The goal of this work is to temporally align asynchronous subtitles in s...

Hannah Bull, et al. ∙

research

∙ 04/29/2021

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

Self-supervised learning algorithms based on instance discrimination tra...

Debidatta Dwibedi, et al. ∙

research

∙ 04/19/2021

Temporal Query Networks for Fine-grained Video Understanding

Our objective in this work is fine-grained classification of actions in ...

Chuhan Zhang, et al. ∙

research

∙ 04/15/2021

Self-supervised Video Object Segmentation by Motion Grouping

Animals have evolved highly functional visual systems to understand moti...

Charig Yang, et al. ∙

research

∙ 04/06/2021

Localizing Visual Sounds the Hard Way

The objective of this work is to localize sound sources that are visible...

Honglie Chen, et al. ∙

research

∙ 04/01/2021

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

Our objective in this work is video-text retrieval - in particular a joi...

Max Bain, et al. ∙

research

∙ 03/30/2021

Broaden Your Views for Self-Supervised Video Learning

Most successful self-supervised learning methods are trained to align th...

Adria Recasens, et al. ∙

research

∙ 03/30/2021

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers

Our objective is language-based search of large-scale image and video da...

Antoine Miech, et al. ∙

research

∙ 03/30/2021

Read and Attend: Temporal Localisation in Sign Language Videos

The objective of this work is to annotate sign instances across a broad ...

Gul Varol, et al. ∙

research

∙ 03/05/2021

Slow-Fast Auditory Streams For Audio Recognition

We propose a two-stream convolutional network for audio recognition, tha...

Evangelos Kazakos, et al. ∙

research

∙ 03/04/2021

Perceiver: General Perception with Iterative Attention

Biological systems understand the world by simultaneously processing hig...

Andrew Jaegle, et al. ∙

research

∙ 11/23/2020

Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation

The objective of this paper is to design a computational architecture th...

Hala Lamdouar, et al. ∙

research

∙ 11/22/2020

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

We introduce QuerYD, a new large-scale dataset for retrieval and event l...

Andreea-Maria Oncescu, et al. ∙

research

∙ 10/21/2020

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

We describe the 2020 edition of the DeepMind Kinetics human action datas...

Lucas Smaira, et al. ∙

research

∙ 10/19/2020

Self-supervised Co-training for Video Representation Learning

The objective of this paper is visual-only self-supervised video represe...

Tengda Han, et al. ∙

research

∙ 10/08/2020

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...

Liliane Momeni, et al. ∙

research

∙ 09/16/2020

Layered Neural Rendering for Retiming People in Video

We present a method for retiming people in an ordinary, natural video—ma...

Erika Lu, et al. ∙

research

∙ 09/14/2020

Adaptive Text Recognition through Visual Matching

In this work, our objective is to address the problems of generalization...

Chuhan Zhang, et al. ∙

research

∙ 09/02/2020

Seeing wake words: Audio-visual Keyword Spotting

The goal of this work is to automatically determine whether and when a w...

Liliane Momeni, et al. ∙

research

∙ 09/01/2020

Inducing Predictive Uncertainty Estimation for Face Recognition

Knowing when an output can be trusted is critical for reliably using fac...

Weidi Xie, et al. ∙

research

∙ 08/10/2020

Self-Supervised Learning of Audio-Visual Objects from Video

Our objective is to transform a video into a set of discrete audio-visua...

Triantafyllos Afouras, et al. ∙

research

∙ 08/03/2020

Memory-augmented Dense Predictive Coding for Video Representation Learning

The objective of this paper is self-supervised learning from video, in p...

Tengda Han, et al. ∙

research

∙ 08/03/2020

RareAct: A video dataset of unusual interactions

This paper introduces a manually annotated video dataset of unusual acti...

Antoine Miech, et al. ∙

research

∙ 07/23/2020

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

Recent progress in fine-grained gesture and action classification, and m...

Samuel Albanie, et al. ∙

Andrew Zisserman

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