37 citations · 185 across the 47 of their papers we have counts for
14 papers · 2 filters
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation
Nimet Kaygusuz, Oscar Mendez, Richard Bowden
Visual Odometry (VO) estimation is an important source of information for vehicle state estimation and autonomous driving. Recently, deep learning based approaches have begun to ap…
MDN-VO: Estimating Visual Odometry with Confidence
Nimet Kaygusuz, Oscar Mendez, Richard Bowden
Visual Odometry (VO) is used in many applications including robotics and autonomous systems. However, traditional approaches based on feature matching are computationally expensive…
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
Recent approaches to Sign Language Production (SLP) have adopted spoken language Neural Machine Translation (NMT) architectures, applied without sign-specific modifications. In add…
Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering
Guillaume Rochette, Chris Russell, Richard Bowden
We present a new approach for synthesizing novel views of people in new poses. Our novel differentiable renderer enables the synthesis of highly realistic images from any viewpoint…
Translating Images into Maps
Avishkar Saha, Oscar Mendez Maldonado, Chris Russell +1
We approach instantaneous mapping, converting images to a top-down view of the world, as a translation problem. We show how a novel form of transformer network can be used to map f…
Looking for the Signs: Identifying Isolated Sign Instances in Continuous Video Footage
Tao Jiang, Necati Cihan Camgoz, Richard Bowden
In this paper, we focus on the task of one-shot sign spotting, i.e. given an example of an isolated sign (query), we want to identify whether/where this sign appears in a continuou…
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
It is common practice to represent spoken languages at their phonetic level. However, for sign languages, this implies breaking motion into its constituent motion primitives. Avata…
AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
The visual anonymisation of sign language data is an essential task to address privacy concerns raised by large-scale dataset collection. Previous anonymisation techniques have eit…
Content4All Open Research Sign Language Translation Datasets
Necati Cihan Camgoz, Ben Saunders, Guillaume Rochette +4
Computational sign language research lacks the large-scale datasets that enables the creation of useful reallife applications. To date, most research has been limited to prototype…
Shadow-Mapping for Unsupervised Neural Causal Discovery
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
An important goal across most scientific fields is the discovery of causal structures underling a set of observations. Unfortunately, causal discovery methods which are based on co…
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation
Tao Jiang, Necati Cihan Camgoz, Richard Bowden
Predicting 3D human pose from a single monoscopic video can be highly challenging due to factors such as low resolution, motion blur and occlusion, in addition to the fundamental a…
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
Sign languages are multi-channel visual languages, where signers use a continuous 3D space to communicate.Sign Language Production (SLP), the automatic translation from spoken to s…
There and Back Again: Self-supervised Multispectral Correspondence Estimation
Celyn Walters, Oscar Mendez, Mark Johnson +1
Across a wide range of applications, from autonomous vehicles to medical imaging, multi-spectral images provide an opportunity to extract additional information not present in colo…
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
Disentangled representations support a range of downstream tasks including causal reasoning, generative modeling, and fair machine learning. Unfortunately, disentanglement has been…