Hadfield, S.[Simon]
* 2011: Kinecting the dots: Particle based scene flow from depth sensors
* 2012: Go with the Flow: Hand Trajectories in 3D via Clustered Scene Flow
* 2013: Hollywood 3D: Recognizing Actions in 3D Natural Scenes
* 2013: Long-Term Tracking through Failure Cases
* 2014: 2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion
* 2014: Natural Action Recognition Using Invariant 3D Motion Encoding
* 2014: Scene Flow Estimation using Intelligent Cost Functions
* 2014: Scene Particles: Unregularized Particle-Based Scene Flow Estimation
* 2014: Visual Object Tracking VOT2014 Challenge Results, The
* 2015: Dense Rigid Reconstruction from Unstructured Discontinuous Video
* 2015: Exploiting High Level Scene Cues in Stereo Reconstruction
* 2015: Exploring Causal Relationships in Visual Object Tracking
* 2016: Direct-from-Video: Unsupervised NRSfM
* 2016: Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors
* 2016: Texture-Independent Long-Term Tracking Using Virtual Corners
* 2016: Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* 2016: Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: Hollywood 3D: What are the Best 3D Features for Action Recognition?
* 2017: Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition
* 2017: Stereo reconstruction using top-down cues
* 2017: SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition
* 2017: Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras
* 2017: TMAGIC: A Model-Free 3D Tracker
* 2017: Visual Object Tracking VOT2017 Challenge Results, The
* 2018: Localisation via Deep Imagination: Learn the Features Not the Map
* 2018: Neural Sign Language Translation
* 2018: Sixth Visual Object Tracking VOT2018 Challenge Results, The
* 2019: HARD-PnP: PnP Optimization Using a Hybrid Approximate Representation
* 2019: Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
* 2020: DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
* 2020: Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance
* 2020: SeDAR: Reading Floorplans Like a Human: Using Deep Learning to Enable Human-Inspired Localisation
* 2020: Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation
* 2020: Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks
* 2022: Medusa: Universal Feature Learning via Attentional Multitasking
* 2023: Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
* 2023: Monocular Depth Estimation Challenge, The
* 2023: Second Monocular Depth Estimation Challenge, The
Includes: Hadfield, S.[Simon] Hadfield, S.
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