75.5k citations · 100.8k across the 160 of their papers we have counts for
9 papers · 1 filter
From Images to 3D Shape Attributes
David F. Fouhey, Abhinav Gupta, Andrew Zisserman
Our goal in this paper is to investigate properties of 3D shape that can be determined from a single image. We define 3D shape attributes -- generic properties of the shape that ca…
Interferences in match kernels
Naila Murray, Hervé Jégou, Florent Perronnin +1
We consider the design of an image representation that embeds and aggregates a set of local descriptors into a single vector. Popular representations of this kind include the bag-o…
Lip Reading Sentences in the Wild
Joon Son Chung, Andrew Senior, Oriol Vinyals +1
The goal of this work is to recognise phrases and sentences being spoken by a talking face, with or without the audio. Unlike previous works that have focussed on recognising a lim…
Trusting SVM for Piecewise Linear CNNs
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
We present a novel layerwise optimization algorithm for the learning objective of Piecewise-Linear Convolutional Neural Networks (PL-CNNs), a large class of convolutional neural ne…
Signs in time: Encoding human motion as a temporal image
Joon Son Chung, Andrew Zisserman
The goal of this work is to recognise and localise short temporal signals in image time series, where strong supervision is not available for training. To this end we propose an im…
Recurrent Human Pose Estimation
Vasileios Belagiannis, Andrew Zisserman
We propose a novel ConvNet model for predicting 2D human body poses in an image. The model regresses a heatmap representation for each body keypoint, and is able to learn and repre…
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta, Andrea Vedaldi, Andrew Zisserman
In this paper we introduce a new method for text detection in natural images. The method comprises two contributions: First, a fast and scalable engine to generate synthetic images…
Template Adaptation for Face Verification and Identification
Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi +3
Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset for imagery and the YouTubeFaces…
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
Recent applications of Convolutional Neural Networks (ConvNets) for human action recognition in videos have proposed different solutions for incorporating the appearance and motion…