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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...

0 Jaime Spencer, et al. ∙

∙ 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. ∙

∙ 02/15/2023

CERiL: Continuous Event-based Reinforcement Learning

This paper explores the potential of event cameras to enable continuous ...

0 Celyn Walters, et al. ∙

∙ 11/22/2022

The Monocular Depth Estimation Challenge

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

0 Jaime Spencer, et al. ∙

∙ 11/14/2022

SVS: Adversarial refinement for sparse novel view synthesis

This paper proposes Sparse View Synthesis. This is a view synthesis prob...

0 Violeta Menéndez González, et al. ∙

∙ 09/09/2022

EDeNN: Event Decay Neural Networks for low latency vision

Despite the success of neural networks in computer vision tasks, digital...

0 Celyn Walters, et al. ∙

∙ 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. ∙

∙ 07/27/2022

Adaptive sampling for scanning pixel cameras

A scanning pixel camera is a novel low-cost, low-power sensor that is no...

0 Yusuf Duman, et al. ∙

∙ 05/16/2022

Generalizing to New Tasks via One-Shot Compositional Subgoals

The ability to generalize to previously unseen tasks with little to no s...

0 Xihan Bian, et al. ∙

∙ 05/14/2022

SaiNet: Stereo aware inpainting behind objects with generative networks

In this work, we present an end-to-end network for stereo-consistent ima...

0 Violeta Menéndez González, et al. ∙

∙ 05/06/2022

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning

In this work, we introduce a new perspective for learning transferable c...

0 Bian Xihan, et al. ∙

∙ 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. ∙

∙ 10/25/2021

SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition

We present SILT, a Self-supervised Implicit Lighting Transfer method. Un...

12 Nikolina Kubiak, et al. ∙

∙ 09/22/2021

TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression

We present TACTIC: Task-Aware Compression Through Intelligent Coding. Ou...

0 Nikolina Kubiak, et al. ∙

∙ 09/01/2021

EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance

The broad scope of obstacle avoidance has led to many kinds of computer ...

8 Celyn Walters, et al. ∙

∙ 06/02/2021

Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour

Robots need to be able to work in multiple different environments. Even ...

0 Xihan Bian, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 11/10/2020

What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes

We present a novel form of explanation for Reinforcement Learning, based...

0 Herman Yau, et al. ∙

∙ 10/04/2020

Diagonal Memory Optimisation for Machine Learning on Micro-controllers

As machine learning spreads into more and more application areas, micro ...

0 Peter Blacker, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 03/25/2019

Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation

How do computers and intelligent agents view the world around them? Feat...

8 Jaime Spencer, et al. ∙

∙ 11/19/2018

Localisation via Deep Imagination: learn the features not the map

How many times does a human have to drive through the same area to becom...

8 Jaime Spencer, et al. ∙

∙ 09/05/2017

SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots?

How does a person work out their location using a floorplan? It is proba...

0 Oscar Mendez, et al. ∙

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