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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...
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08/18/2023
Improving 3D Pose Estimation for Sign Language
This work addresses 3D human pose reconstruction in single images. We pr...
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08/18/2023
Denoising Diffusion for 3D Hand Pose Estimation from Images
Hand pose estimation from a single image has many applications. However,...
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08/18/2023
Learnt Contrastive Concept Embeddings for Sign Recognition
In natural language processing (NLP) of spoken languages, word embedding...
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08/08/2023
Gloss Alignment Using Word Embeddings
Capturing and annotating Sign language datasets is a time consuming and ...
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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...
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07/18/2023
Learning Adaptive Neighborhoods for Graph Neural Networks
Graph convolutional networks (GCNs) enable end-to-end learning on graph ...
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04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
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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...
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03/28/2023
Novel View Synthesis of Humans using Differentiable Rendering
We present a new approach for synthesizing novel views of people in new ...
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11/22/2022
The Monocular Depth Estimation Challenge
This paper summarizes the results of the first Monocular Depth Estimatio...
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10/03/2022
Hierarchical I3D for Sign Spotting
Most of the vision-based sign language research to date has focused on I...
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08/02/2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
This paper presents an open and comprehensive framework to systematicall...
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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 ...
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06/26/2022
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation
Motion estimation approaches typically employ sensor fusion techniques, ...
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04/12/2022
Medusa: Universal Feature Learning via Attentional Multitasking
Recent approaches to multi-task learning (MTL) have focused on modelling...
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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...
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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 ...
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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...
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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...
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12/23/2021
MDN-VO: Estimating Visual Odometry with Confidence
Visual Odometry (VO) is used in many applications including robotics and...
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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 ...
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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 ...
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10/03/2021
Translating Images into Maps
We approach instantaneous mapping, converting images to a top-down view ...
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07/25/2021
Improving Robot Localisation by Ignoring Visual Distraction
Attention is an important component of modern deep learning. However, le...
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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...
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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...
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07/09/2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Deep neural networks have demonstrated their capability to learn control...
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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...
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06/01/2021
Markov Localisation using Heatmap Regression and Deep Convolutional Odometry
In the context of self-driving vehicles there is strong competition betw...
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05/05/2021
Content4All Open Research Sign Language Translation Datasets
Computational sign language research lacks the large-scale datasets that...
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04/23/2021
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation
Predicting 3D human pose from a single monoscopic video can be highly ch...
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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...
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04/16/2021
Shadow-Mapping for Unsupervised Neural Causal Discovery
An important goal across most scientific fields is the discovery of caus...
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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...
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03/17/2021
A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors
Accurate extrinsic sensor calibration is essential for both autonomous v...
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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...
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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...
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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...
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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...
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09/28/2020
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation
Undertaking causal inference with observational data is extremely useful...
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09/01/2020
Multi-channel Transformers for Multi-articulatory Sign Language Translation
Sign languages use multiple asynchronous information channels (articulat...
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08/27/2020
Adversarial Training for Multi-Channel Sign Language Production
Sign Languages are rich multi-channel languages, requiring articulation ...
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04/30/2020
Progressive Transformers for End-to-End Sign Language Production
The goal of automatic Sign Language Production (SLP) is to translate spo...
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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...
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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...
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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...
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02/27/2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
Deep learning has become an increasingly common technique for various co...
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02/26/2020
NestedVAE: Isolating Common Factors via Weak Supervision
Fair and unbiased machine learning is an important and active field of r...
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12/23/2019
