Simon Hadfield

According to our database1, Simon Hadfield authored at least 72 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation.
CoRR, 2023

The Monocular Depth Estimation Challenge.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation.
IROS, 2023

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


CERiL: Continuous Event-based Reinforcement Learning.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

EDeNN: Event Decay Neural Networks for low latency vision.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs.
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter.
Trans. Mach. Learn. Res., 2022

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter.
CoRR, 2022

Adaptive sampling for scanning pixel cameras.
CoRR, 2022

Generalizing to New Tasks via One-Shot Compositional Subgoals.
CoRR, 2022

SaiNet: Stereo aware inpainting behind objects with generative networks.
CoRR, 2022

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Medusa: Universal Feature Learning via Attentional Multitasking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

SVS: Adversarial refinement for sparse novel view synthesis.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression.
CoRR, 2021

EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ORCHID: Optimisation of Robotic Control and Hardware In Design using Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial Selection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Markov Localisation using Heatmap Regression and Deep Convolutional Odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks.
Int. J. Comput. Vis., 2020

SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation.
Int. J. Comput. Vis., 2020

Diagonal Memory Optimisation for Machine Learning on Micro-controllers.
CoRR, 2020

What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SignSynth: Data-Driven Sign Language Video Generation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Multi-channel Transformers for Multi-articulatory Sign Language Translation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
HARD-PnP: PnP Optimization Using a Hybrid Approximate Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Rapid Prototyping of Deep Learning Models on Radiation Hardened CPUs.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2019

2018
SMILE Swiss German Sign Language Dataset.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

SeDAR - Semantic Detection and Ranging: Humans can Localise without LiDAR, can Robots?
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Localisation via Deep Imagination: Learn the Features Not the Map.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Neural Sign Language Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Sign Language Production using Neural Machine Translation and Generative Adversarial Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
TMAGIC: A Model-Free 3D Tracker.
IEEE Trans. Image Process., 2017

Prototype for multidisciplinary research in the context of the Internet of Things.
J. Netw. Comput. Appl., 2017

Hollywood 3D: What are the Best 3D Features for Action Recognition?
Int. J. Comput. Vis., 2017

Stereo reconstruction using top-down cues.
Comput. Vis. Image Underst., 2017

From Vision to Grasping: Adapting Visual Networks.
Proceedings of the Towards Autonomous Robotic Systems - 18th Annual Conference, 2017

The Visual Object Tracking VOT2017 Challenge Results.
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Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Texture-Independent Long-Term Tracking Using Virtual Corners.
IEEE Trans. Image Process., 2016

Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Direct-from-Video: Unsupervised NRSfM.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Dense Rigid Reconstruction from Unstructured Discontinuous Video.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Exploring Causal Relationships in Visual Object Tracking.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Exploiting High Level Scene Cues in Stereo Reconstruction.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Scene Particles: Unregularized Particle-Based Scene Flow Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Friendly Faces: Weakly Supervised Character Identification.
Proceedings of the Face and Facial Expression Recognition from Real World Videos, 2014


Natural Action Recognition Using Invariant 3D Motion Encoding.
Proceedings of the Computer Vision - ECCV 2014, 2014

Scene Flow Estimation using Intelligent Cost Functions.
Proceedings of the British Machine Vision Conference, 2014

2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
The estimation and use of 3D information, for natural human action recognition.
PhD thesis, 2013

Long-Term Tracking through Failure Cases.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Hollywood 3D: Recognizing Actions in 3D Natural Scenes.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Go with the Flow: Hand Trajectories in 3D via Clustered Scene Flow.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2011
Kinecting the dots: Particle based scene flow from depth sensors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Generalised Pose Estimation Using Depth.
Proceedings of the Trends and Topics in Computer Vision, 2010


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