Generalised Pose Estimation Using Depth. - Simon Hadfield; Richard Bowden (ECCV Workshops (1), 2010)

Kinecting the dots: Particle based scene flow from depth sensors. - Simon Hadfield; Richard Bowden (ICCV, 2011)

Go with the Flow: Hand Trajectories in 3D via Clustered Scene Flow. - Simon Hadfield; Richard Bowden (ICIAR (1), 2012)

Hollywood 3D: Recognizing Actions in 3D Natural Scenes. - Simon Hadfield; Richard Bowden (CVPR, 2013)

Long-Term Tracking through Failure Cases. - Karel Lebeda; Simon Hadfield; Jiri Matas; Richard Bowden (ICCV Workshops, 2013)

The estimation and use of 3D information, for natural human action recognition. - Simon Hadfield (2013)

2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion. - Karel Lebeda; Simon Hadfield; Richard Bowden (ACCV (4), 2014)

Scene Flow Estimation using Intelligent Cost Functions. - Simon Hadfield; Richard Bowden (BMVC, 2014)

Natural Action Recognition Using Invariant 3D Motion Encoding. - Simon Hadfield; Karel Lebeda; Richard Bowden (ECCV (2), 2014)

The Visual Object Tracking VOT2014 Challenge Results. - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Luka Cehovin; Georg Nebehay; Tomás Vojír; Gustavo Fernández; Alan Lukezic; Aleksandar Dimitriev; Alfredo Petrosino; Amir Saffari; et al. (ECCV Workshops (2), 2014)

Friendly Faces: Weakly Supervised Character Identification. - Matthew Marter; Simon Hadfield; Richard Bowden (FFER@ICPR, 2014)

Scene Particles: Unregularized Particle-Based Scene Flow Estimation. - Simon Hadfield; Richard Bowden (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Exploiting High Level Scene Cues in Stereo Reconstruction. - Simon Hadfield; Richard Bowden (ICCV, 2015)

Exploring Causal Relationships in Visual Object Tracking. - Karel Lebeda; Simon Hadfield; Richard Bowden (ICCV, 2015)

Dense Rigid Reconstruction from Unstructured Discontinuous Video. - Karel Lebeda; Simon Hadfield; Richard Bowden (ICCV Workshops, 2015)

Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors. - Oscar Mendez Maldonado; Simon Hadfield; Nicolas Pugeault; Richard Bowden (BMVC, 2016)

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. - Michael Felsberg; Matej Kristan; Jiri Matas; Ales Leonardis; Roman P. Pflugfelder; Gustav Häger; Amanda Berg; Abdelrahman Eldesokey; Jörgen Ahlberg; Luka Cehovin; Tomás Vojír; Alan Lukezic; et al. (ECCV Workshops (2), 2016)

The Visual Object Tracking VOT2016 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin; Tomás Vojír; Gustav Häger; Alan Lukezic; Gustavo Fernández; Abhinav Gupta 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

Direct-from-Video: Unsupervised NRSfM. - Karel Lebeda; Simon Hadfield; Richard Bowden (ECCV Workshops (3), 2016)

Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition. - Necati Cihan Camgöz; Simon Hadfield; Oscar Koller; Richard Bowden (ICPR, 2016)

Texture-Independent Long-Term Tracking Using Virtual Corners. - Karel Lebeda; Simon Hadfield; Jiri Matas; Richard Bowden (IEEE Trans. Image Process., 2016)

SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition. - Necati Cihan Camgöz; Simon Hadfield; Oscar Koller; Richard Bowden (ICCV, 2017)

Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras. - Oscar Mendez Maldonado; Simon Hadfield; Nicolas Pugeault; Richard Bowden (ICCV, 2017)

Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition. - Necati Cihan Camgöz; Simon Hadfield; Richard Bowden (ICCV Workshops, 2017)

The Visual Object Tracking VOT2017 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ICCV Workshops, 2017)

From Vision to Grasping: Adapting Visual Networks. - Rebecca Allday; Simon Hadfield; Richard Bowden (TAROS, 2017)

Stereo reconstruction using top-down cues. - Simon Hadfield; Karel Lebeda; Richard Bowden (Comput. Vis. Image Underst., 2017)

Hollywood 3D: What are the Best 3D Features for Action Recognition? - Simon Hadfield; Karel Lebeda; Richard Bowden (Int. J. Comput. Vis., 2017)

Prototype for multidisciplinary research in the context of the Internet of Things. - Miguel López-Benítez; Timothy D. Drysdale; Simon Hadfield; Mohamed Ismaeel Maricar (J. Netw. Comput. Appl., 2017)

TMAGIC: A Model-Free 3D Tracker. - Karel Lebeda; Simon Hadfield; Richard Bowden (IEEE Trans. Image Process., 2017)

Sign Language Production using Neural Machine Translation and Generative Adversarial Networks. - Stephanie Stoll; Necati Cihan Camgöz; Simon Hadfield; Richard Bowden (BMVC, 2018)

Neural Sign Language Translation. - Necati Cihan Camgöz; Simon Hadfield; Oscar Koller; Hermann Ney; Richard Bowden (CVPR, 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Localisation via Deep Imagination: Learn the Features Not the Map. - Jaime Spencer; Oscar Mendez Maldonado; Richard Bowden; Simon Hadfield (ECCV Workshops (5), 2018)

SeDAR - Semantic Detection and Ranging: Humans can Localise without LiDAR, can Robots? - Oscar Mendez Maldonado; Simon Hadfield; Nicolas Pugeault; Richard Bowden (ICRA, 2018)

SMILE Swiss German Sign Language Dataset. - Sarah Ebling; Necati Cihan Camgöz; Penny Boyes Braem; Katja Tissi; Sandra Sidler-Miserez; Stephanie Stoll; Simon Hadfield; Tobias Haug; Richard Bowden; Sandrine Tornay; Marzieh Razavi; Mathew Magimai-Doss (LREC, 2018)

Rapid Prototyping of Deep Learning Models on Radiation Hardened CPUs. - Peter Blacker; Christopher Paul Bridges; Simon Hadfield (AHS, 2019)

Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation. - Jaime Spencer; Richard Bowden; Simon Hadfield (CVPR, 2019)

A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors. - Celyn Walters; Oscar Mendez Maldonado; Simon Hadfield; Richard Bowden (IROS, 2019)

HARD-PnP: PnP Optimization Using a Hybrid Approximate Representation. - Simon Hadfield; Karel Lebeda; Richard Bowden (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation. - Necati Cihan Camgöz; Oscar Koller; Simon Hadfield; Richard Bowden (CVPR, 2020)

Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance. - Jaime Spencer; Richard Bowden; Simon Hadfield (CVPR, 2020)

DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. - Jaime Spencer; Richard Bowden; Simon Hadfield (CVPR, 2020)

Multi-channel Transformers for Multi-articulatory Sign Language Translation. - Necati Cihan Camgöz; Oscar Koller; Simon Hadfield; Richard Bowden (ECCV Workshops (4), 2020)

SignSynth: Data-Driven Sign Language Video Generation. - Stephanie Stoll; Simon Hadfield; Richard Bowden (ECCV Workshops (4), 2020)

What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes. - Herman Yau; Chris Russell 001; Simon Hadfield (NeurIPS, 2020)

Diagonal Memory Optimisation for Machine Learning on Micro-controllers. - Peter Blacker; Christopher Paul Bridges; Simon Hadfield (CoRR, 2020)

SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation. - Oscar Mendez Maldonado; Simon Hadfield; Nicolas Pugeault; Richard Bowden (Int. J. Comput. Vis., 2020)

Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks. - Stephanie Stoll; Necati Cihan Camgöz; Simon Hadfield; Richard Bowden (Int. J. Comput. Vis., 2020)

SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition. - Nikolina Kubiak; Armin Mustafa; Graeme Phillipson; Stephen Jolly; Simon Hadfield (BMVC, 2021)

Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour. - Xihan Bian; Oscar Mendez Maldonado; Simon Hadfield (ICRA, 2021)

Markov Localisation using Heatmap Regression and Deep Convolutional Odometry. - Oscar Mendez Maldonado; Simon Hadfield; Richard Bowden (ICRA, 2021)

HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial Selection. - Lucy Jackson; Steve Eckersley; Pete Senior; Simon Hadfield (IROS, 2021)

ORCHID: Optimisation of Robotic Control and Hardware In Design using Reinforcement Learning. - Lucy Jackson; Celyn Walters; Steve Eckersley; Pete Senior; Simon Hadfield (IROS, 2021)

EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance. - Celyn Walters; Simon Hadfield (IROS, 2021)

TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression. - Nikolina Kubiak; Simon Hadfield (CoRR, 2021)

SVS: Adversarial refinement for sparse novel view synthesis. - Violeta Menéndez González; Andrew Gilbert; Graeme Phillipson; Stephen Jolly; Simon Hadfield (BMVC, 2022)

Medusa: Universal Feature Learning via Attentional Multitasking. - Jaime Spencer; Richard Bowden; Simon Hadfield (CVPR Workshops, 2022)

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning. - Xihan Bian; Oscar Mendez Maldonado; Simon Hadfield (IROS, 2022)

SaiNet: Stereo aware inpainting behind objects with generative networks. - Violeta Menéndez González; Andrew Gilbert; Graeme Phillipson; Stephen Jolly; Simon Hadfield (CoRR, 2022)

Generalizing to New Tasks via One-Shot Compositional Subgoals. - Xihan Bian; Oscar Mendez Maldonado; Simon Hadfield (CoRR, 2022)

Adaptive sampling for scanning pixel cameras. - Yusuf Duman; Jean-Yves Guillemaut; Simon Hadfield (CoRR, 2022)

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. - Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden (Trans. Mach. Learn. Res., 2022)

ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs. - Violeta Menéndez González; Andrew Gilbert; Graeme Phillipson; Stephen Jolly; Simon Hadfield (BMVC Workshop, 2023)

EDeNN: Event Decay Neural Networks for low latency vision. - Celyn Walters; Simon Hadfield (BMVC, 2023)

CERiL: Continuous Event-based Reinforcement Learning. - Celyn Walters; Simon Hadfield (BMVC, 2023)

The Second Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Michaela Trescakova; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Ali Anwar 002; Hao Chen 041; et al. (CVPR Workshops, 2023)

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. - Jaime Spencer; Simon Hadfield; Chris Russell 001; Richard Bowden (ICCV, 2023)

RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation. - Christopher Thomas Thirgood; Oscar Mendez Maldonado; Erin Chao Ling; Jon Storey; Simon Hadfield (IROS, 2023)

The Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Heng Cong; Stefano Mattoccia; Matteo Poggi; et al. (WACV (Workshops), 2023)

RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation. - Christopher Thomas Thirgood; Oscar Alejandro Mendez Maldonado; Chao Ling; Jonathan Storey; Simon Hadfield (CoRR, 2023)

BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation. - Tavis Shore; Simon Hadfield; Oscar Mendez Maldonado (CoRR, 2023)

S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal. - Nikolina Kubiak; Armin Mustafa; Graeme Phillipson; Stephen Jolly; Simon Hadfield (CVPR Workshops, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

RenDetNet: Weakly-Supervised Shadow Detection with Shadow Caster Verification. - Nikolina Kubiak; Elliot Wortman; Armin Mustafa; Graeme Phillipson; Stephen Jolly; Simon Hadfield (ECCV Workshops (9), 2024)

Generalizing to New Tasks via One-Shot Compositional Subgoals. - Xihan Bian; Oscar Mendez Maldonado; Zhang Lianpin; Simon Hadfield (ICARA, 2024)

BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation. - Tavis Shore; Simon Hadfield; Oscar Mendez (IROS, 2024)

Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV. - Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden (CoRR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Single-image coherent reconstruction of objects and humans. - Sarthak Batra; Partha Pratim Chakraborty; Simon Hadfield; Armin Mustafa (CoRR, 2024)

FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses. - Isaac Baglin; Xiatian Zhu; Simon Hadfield (CoRR, 2024)

Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision Tasks. - Enis Baty; Alejandro Hernández-Díaz; Chris Bridges 001; Rebecca Davidson; Steve Eckersley; Simon Hadfield (CoRR, 2024)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

HyperGS: Hyperspectral 3D Gaussian Splatting. - Christopher Thomas Thirgood; Oscar Mendez; Erin Chao Ling; Jon Storey; Simon Hadfield (CVPR, 2025)

SpaGBOL: Spatial-Graph-Based Orientated Localisation. - Tavis Shore; Oscar Mendez; Simon Hadfield (WACV, 2025)

Differential Adjusted Parity for Learning Fair Representations. - Bucher Sahyouni; Matthew J. Vowels; Liqun Chen; Simon Hadfield (CoRR, 2025)

DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description. - Adrienne Deganutti; Simon Hadfield; Andrew Gilbert (CoRR, 2025)

PEnG: Pose-Enhanced Geo-Localisation. - Tavis Shore; Oscar Mendez; Simon Hadfield (IEEE Robotics Autom. Lett., 2025)

VICI: VLM-Instructed Cross-view Image-localisation. - Xiaohan Zhang; Tavis Shore; Chen Chen; Oscar Mendez; Simon Hadfield; Safwan Wshah (CoRR, 2025)