Richard Bowden

research

∙ 08/18/2023

Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse

Sign Language Translation (SLT) is a challenging task that aims to gener...

0 Ozge Mercanoglu Sincan, et al. ∙

research

∙ 08/18/2023

Improving 3D Pose Estimation for Sign Language

This work addresses 3D human pose reconstruction in single images. We pr...

0 Maksym Ivashechkin, et al. ∙

research

∙ 08/18/2023

Denoising Diffusion for 3D Hand Pose Estimation from Images

Hand pose estimation from a single image has many applications. However,...

0 Maksym Ivashechkin, et al. ∙

research

∙ 08/18/2023

Learnt Contrastive Concept Embeddings for Sign Recognition

In natural language processing (NLP) of spoken languages, word embedding...

0 Ryan Wong, et al. ∙

research

∙ 08/08/2023

Gloss Alignment Using Word Embeddings

Capturing and annotating Sign language datasets is a time consuming and ...

0 Harry Walsh, et al. ∙

research

∙ 07/20/2023

Kick Back Relax: Learning to Reconstruct the World by Watching SlowTV

Self-supervised monocular depth estimation (SS-MDE) has the potential to...

0 Jaime Spencer, et al. ∙

research

∙ 07/18/2023

Learning Adaptive Neighborhoods for Graph Neural Networks

Graph convolutional networks (GCNs) enable end-to-end learning on graph ...

0 Avishkar Saha, et al. ∙

research

∙ 04/14/2023

The Second Monocular Depth Estimation Challenge

This paper discusses the results for the second edition of the Monocular...

0 Jaime Spencer, et al. ∙

research

∙ 03/29/2023

Decision Making for Autonomous Driving in Interactive Merge Scenarios via Learning-based Prediction

Autonomous agents that drive on roads shared with human drivers must rea...

0 Salar Arbabi, et al. ∙

research

∙ 03/28/2023

Novel View Synthesis of Humans using Differentiable Rendering

We present a new approach for synthesizing novel views of people in new ...

0 Guillaume Rochette, et al. ∙

research

∙ 11/22/2022

The Monocular Depth Estimation Challenge

This paper summarizes the results of the first Monocular Depth Estimatio...

0 Jaime Spencer, et al. ∙

research

∙ 10/03/2022

Hierarchical I3D for Sign Spotting

Most of the vision-based sign language research to date has focused on I...

4 Ryan Wong, et al. ∙

research

∙ 08/02/2022

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter

This paper presents an open and comprehensive framework to systematicall...

3 Jaime Spencer, et al. ∙

research

∙ 07/31/2022

Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases

To plan safe maneuvers and act with foresight, autonomous vehicles must ...

0 Salar Arbabi, et al. ∙

research

∙ 06/26/2022

AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation

Motion estimation approaches typically employ sensor fusion techniques, ...

8 Nimet Kaygusuz, et al. ∙

research

∙ 04/12/2022

Medusa: Universal Feature Learning via Attentional Multitasking

Recent approaches to multi-task learning (MTL) have focused on modelling...

0 Jaime Spencer, et al. ∙

research

∙ 04/06/2022

"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

Estimating a semantically segmented bird's-eye-view (BEV) map from a sin...

0 Avishkar Saha, et al. ∙

research

∙ 03/29/2022

Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production

Sign languages are visual languages, with vocabularies as rich as their ...

23 Ben Saunders, et al. ∙

research

∙ 02/18/2022

A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics

Parameter estimation in the empirical fields is usually undertaken using...

6 Matthew J. Vowels, et al. ∙

research

∙ 12/23/2021

Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation

Visual Odometry (VO) estimation is an important source of information fo...

5 Nimet Kaygusuz, et al. ∙

research

∙ 12/23/2021

MDN-VO: Estimating Visual Odometry with Confidence

Visual Odometry (VO) is used in many applications including robotics and...

39 Nimet Kaygusuz, et al. ∙

research

∙ 12/06/2021

Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production

Recent approaches to Sign Language Production (SLP) have adopted spoken ...

6 Ben Saunders, et al. ∙

research

∙ 11/24/2021

Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering

We present a new approach for synthesizing novel views of people in new ...

0 Guillaume Rochette, et al. ∙

research

∙ 10/03/2021

Translating Images into Maps

We approach instantaneous mapping, converting images to a top-down view ...

0 Avishkar Saha, et al. ∙

research

∙ 07/25/2021

Improving Robot Localisation by Ignoring Visual Distraction

Attention is an important component of modern deep learning. However, le...

5 Oscar Mendez, et al. ∙

research

∙ 07/23/2021

Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives

It is common practice to represent spoken languages at their phonetic le...

16 Ben Saunders, et al. ∙

research

∙ 07/22/2021

AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation

The visual anonymisation of sign language data is an essential task to a...

12 Ben Saunders, et al. ∙

research

∙ 07/09/2021

ARC: Adversarially Robust Control Policies for Autonomous Vehicles

Deep neural networks have demonstrated their capability to learn control...

0 Sampo Kuutti, et al. ∙

research

∙ 07/09/2021

Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data

Imitation learning has been widely used to learn control policies for au...

0 Sampo Kuutti, et al. ∙

research

∙ 06/01/2021

Markov Localisation using Heatmap Regression and Deep Convolutional Odometry

In the context of self-driving vehicles there is strong competition betw...

0 Oscar Mendez, et al. ∙

research

∙ 05/05/2021

Content4All Open Research Sign Language Translation Datasets

Computational sign language research lacks the large-scale datasets that...

4 Necati Cihan Camgoz, et al. ∙

research

∙ 04/23/2021

Skeletor: Skeletal Transformers for Robust Body-Pose Estimation

Predicting 3D human pose from a single monoscopic video can be highly ch...

5 Tao Jiang, et al. ∙

research

∙ 04/20/2021

Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition

Signed languages are visual languages produced by the movement of the ha...

14 Amit Moryossef, et al. ∙

research

∙ 04/16/2021

Shadow-Mapping for Unsupervised Neural Causal Discovery

An important goal across most scientific fields is the discovery of caus...

19 Matthew J. Vowels, et al. ∙

research

∙ 03/17/2021

Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages

The use of neural networks and reinforcement learning has become increas...

3 Sampo Kuutti, et al. ∙

research

∙ 03/17/2021

A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors

Accurate extrinsic sensor calibration is essential for both autonomous v...

0 Celyn Walters, et al. ∙

research

∙ 03/12/2021

VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts

Disentangled representations support a range of downstream tasks includi...

8 Matthew J. Vowels, et al. ∙

research

∙ 03/11/2021

Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks

Sign languages are multi-channel visual languages, where signers use a c...

4 Ben Saunders, et al. ∙

research

∙ 03/03/2021

D'ya like DAGs? A Survey on Structure Learning and Causal Discovery

Causal reasoning is a crucial part of science and human intelligence. In...

4 Matthew J. Vowels, et al. ∙

research

∙ 11/19/2020

Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

To be truly understandable and accepted by Deaf communities, an automati...

12 Ben Saunders, et al. ∙

research

∙ 09/28/2020

Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation

Undertaking causal inference with observational data is extremely useful...

0 Matthew James Vowels, et al. ∙

research

∙ 09/01/2020

Multi-channel Transformers for Multi-articulatory Sign Language Translation

Sign languages use multiple asynchronous information channels (articulat...

0 Necati Cihan Camgoz, et al. ∙

research

∙ 08/27/2020

Adversarial Training for Multi-Channel Sign Language Production

Sign Languages are rich multi-channel languages, requiring articulation ...

1 Ben Saunders, et al. ∙

research

∙ 04/30/2020

Progressive Transformers for End-to-End Sign Language Production

The goal of automatic Sign Language Production (SLP) is to translate spo...

1 Ben Saunders, et al. ∙

research

∙ 03/30/2020

Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation

Prior work on Sign Language Translation has shown that having a mid-leve...

0 Necati Cihan Camgoz, et al. ∙

research

∙ 03/30/2020

DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning

In the current monocular depth research, the dominant approach is to emp...

0 Jaime Spencer, et al. ∙

research

∙ 03/30/2020

Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance

"Like night and day" is a commonly used expression to imply that two thi...

0 Jaime Spencer, et al. ∙

research

∙ 02/27/2020

Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies

Deep learning has become an increasingly common technique for various co...

0 Sampo Kuutti, et al. ∙

research

∙ 02/26/2020

NestedVAE: Isolating Common Factors via Weak Supervision

Fair and unbiased machine learning is an important and active field of r...

0 Matthew J. Vowels, et al. ∙

research

∙ 12/23/2019

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Designing a controller for autonomous vehicles capable of providing adeq...

41 Sampo Kuutti, et al. ∙

Richard Bowden

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