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2020 – today
- 2024
[i34]Cristiana Tiago, Andrew Gilbert, Ahmed Salem Beela, Svein Arne Aase, Sten Roar Snare, Jurica Sprem:
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN. CoRR abs/2403.05384 (2024)- [i33]Edward Fish, Jon Weinbren, Andrew Gilbert:
PLOT-TAL - Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization. CoRR abs/2403.18915 (2024) - [i32]Mona Ahmadian, Frank Guerin, Andrew Gilbert:
FILS: Self-Supervised Video Feature Prediction In Semantic Language Space. CoRR abs/2406.03447 (2024) - [i31]Xu Dong, Xinran Liu, Wanqing Li, Anthony Adeyemi-Ejeye, Andrew Gilbert:
Interpretable Long-term Action Quality Assessment. CoRR abs/2408.11687 (2024) - [i30]Sadegh Rahmani-Boldaji, Filip Rybansky, Quoc Vuong, Frank Guerin, Andrew Gilbert:
DEAR: Depth-Enhanced Action Recognition. CoRR abs/2408.15679 (2024) - [i29]Gemma Canet Tarres, Zhe L. Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song, Dan Ruta, Andrew Gilbert, John P. Collomosse, Soo Ye Kim:
Thinking Outside the BBox: Unconstrained Generative Object Compositing. CoRR abs/2409.04559 (2024) - [i28]Anastasia Anichenko, Frank Guerin, Andrew Gilbert:
Interpretable Action Recognition on Hard to Classify Actions. CoRR abs/2409.13091 (2024) - 2023
- [c48]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs. BMVC Workshop 2023 - [c47]Kar Balan
, Andrew Gilbert, Alexander Black, Simon Jenni, Andy Parsons, John P. Collomosse:
DECORAIT - DECentralized Opt-in/out Registry for AI Training. CVMP 2023: 4:1-4:10 - [c46]Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John P. Collomosse:
EKILA: Synthetic Media Provenance and Attribution for Generative Art. CVPR Workshops 2023: 913-922 - [c45]Soon Yau Cheong, Armin Mustafa, Andrew Gilbert:
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer. ICCV (Workshops) 2023: 4175-4184 - [i27]Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John P. Collomosse:
EKILA: Synthetic Media Provenance and Attribution for Generative Art. CoRR abs/2304.04639 (2023) - [i26]Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin:
NeAT: Neural Artistic Tracing for Beautiful Style Transfer. CoRR abs/2304.05139 (2023) - [i25]Dan Ruta, Gemma Canet Tarres, Alex Black, Andrew Gilbert, John P. Collomosse:
ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer. CoRR abs/2304.05755 (2023) - [i24]Soon Yau Cheong, Armin Mustafa, Andrew Gilbert:
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer. CoRR abs/2304.08870 (2023) - [i23]Dan Ruta, Gemma Canet Tarres, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse:
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer. CoRR abs/2307.04157 (2023) - [i22]Mona Ahmadian, Frank Guerin, Andrew Gilbert:
MOFO: MOtion FOcused Self-Supervision for Video Understanding. CoRR abs/2308.12447 (2023) - [i21]Kar Balan, Alex Black, Simon Jenni, Andrew Gilbert, Andy Parsons, John P. Collomosse:
DECORAIT - DECentralized Opt-in/out Registry for AI Training. CoRR abs/2309.14400 (2023) - [i20]Edward Fish, Jon Weinbren, Andrew Gilbert:
Multi-Resolution Audio-Visual Feature Fusion for Temporal Action Localization. CoRR abs/2310.03456 (2023) - [i19]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs. CoRR abs/2311.18491 (2023) - [i18]Soon Yau Cheong, Armin Mustafa, Andrew Gilbert:
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet. CoRR abs/2312.03154 (2023) - 2022
- [j15]Cristiana Tiago, Andrew Gilbert, Ahmed Salem Beela, Svein Arne Aase, Sten Roar Snare, Jurica Sprem, Kristin McLeod:
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN. IEEE Access 10: 98803-98815 (2022) - [c44]Soon Yau Cheong, Armin Mustafa, Andrew Gilbert:
KPE: Keypoint Pose Encoding for Transformer-based Image Generation. BMVC 2022: 163 - [c43]Edward Fish, Jon Weinbren, Andrew Gilbert:
Two-Stream Transformer Architecture for Long Form Video Understanding. BMVC 2022: 660 - [c42]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SVS: Adversarial refinement for sparse novel view synthesis. BMVC 2022: 886 - [c41]Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse:
HyperNST: Hyper-Networks for Neural Style Transfer. ECCV Workshops (1) 2022: 201-217 - [c40]Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John P. Collomosse:
StyleBabel: Artistic Style Tagging and Captioning. ECCV (8) 2022: 219-236 - [c39]Sarina Thomas, Andrew Gilbert, Guy Ben-Yosef:
Light-weight Spatio-Temporal Graphs for Segmentation and Ejection Fraction Prediction in Cardiac Ultrasound. MICCAI (4) 2022: 380-390 - [i17]Soon Yau Cheong, Armin Mustafa, Andrew Gilbert:
Pose Guided Multi-person Image Generation From Text. CoRR abs/2203.04907 (2022) - [i16]Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John P. Collomosse:
StyleBabel: Artistic Style Tagging and Captioning. CoRR abs/2203.05321 (2022) - [i15]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SaiNet: Stereo aware inpainting behind objects with generative networks. CoRR abs/2205.07014 (2022) - [i14]Sarina Thomas, Andrew Gilbert, Guy Ben-Yosef:
Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound. CoRR abs/2207.02549 (2022) - [i13]Edward Fish, Jon Weinbren, Andrew Gilbert:
Two-Stream Transformer Architecture for Long Video Understanding. CoRR abs/2208.01753 (2022) - [i12]Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse:
HyperNST: Hyper-Networks for Neural Style Transfer. CoRR abs/2208.04807 (2022) - [i11]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SVS: Adversarial refinement for sparse novel view synthesis. CoRR abs/2211.07301 (2022) - 2021
- [j14]Kary Ho, Andrew Gilbert, Hailin Jin, John P. Collomosse:
Neural architecture search for deep image prior. Comput. Graph. 98: 188-196 (2021) - [j13]Andrew Gilbert, Marit Holden, Line Eikvil, Mariia Rakhmail, Aleksandar Babic, Svein Arne Aase, Eigil Samset, Kristin McLeod:
User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing. IEEE J. Biomed. Health Informatics 25(6): 2113-2124 (2021) - [j12]Andrew Gilbert, Maciej Marciniak, Cristóbal Rodero, Pablo Lamata, Eigil Samset, Kristin McLeod:
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation. IEEE Trans. Medical Imaging 40(10): 2783-2794 (2021) - [c38]Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John P. Collomosse:
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity. ICCV 2021: 11906-11915 - [c37]Edward Fish, Jon Weinbren, Andrew Gilbert:
Rethinking Genre Classification With Fine Grained Semantic Clustering. ICIP 2021: 1274-1278 - [i10]Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John P. Collomosse:
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity. CoRR abs/2103.09776 (2021) - [i9]Joseph Chrol-Cannon, Andrew Gilbert, Ranko Lazic, Adithya Madhusoodanan, Frank Guerin:
Human-like Relational Models for Activity Recognition in Video. CoRR abs/2107.05319 (2021) - 2020
- [j11]Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse:
Inpainting of Wide-Baseline Multiple Viewpoint Video. IEEE Trans. Vis. Comput. Graph. 26(7): 2417-2428 (2020) - [c36]Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse:
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. BMVC 2020 - [i8]Kary Ho, Andrew Gilbert, Hailin Jin, John P. Collomosse:
Neural Architecture Search for Deep Image Prior. CoRR abs/2001.04776 (2020) - [i7]Edward Fish, Andrew Gilbert, Jon Weinbren:
Rethinking movie genre classification with fine-grained semantic clustering. CoRR abs/2012.02639 (2020)
2010 – 2019
- 2019
- [j10]Andrew Gilbert, Matthew Trumble, Charles Malleson, Adrian Hilton, John P. Collomosse:
Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation. Int. J. Comput. Vis. 127(4): 381-397 (2019) - [c35]Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod:
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach. SUSI/PIPPI@MICCAI 2019: 29-37 - [p2]Josiah Wang, Andrew Gilbert, Bart Thomee, Mauricio Villegas:
Automatic Image Annotation at ImageCLEF. Information Retrieval Evaluation in a Changing World 2019: 251-273 - [i6]Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse:
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. CoRR abs/1908.03030 (2019) - [i5]Andrew Gilbert, Marit Holden, Line Eikvil, Mariia Rakhmail, Aleksandar Babic, Svein Arne Aase, Eigil Samset, Kristin McLeod:
Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer. CoRR abs/1911.02407 (2019) - [i4]Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod:
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach. CoRR abs/1911.02448 (2019) - 2018
- [j9]Clayton S. Bingham, Kyle Loizos, Gene J. Yu, Andrew Gilbert, Jean-Marie C. Bouteiller, Dong Song, Gianluca Lazzi, Theodore W. Berger:
Model-Based Analysis of Electrode Placement and Pulse Amplitude for Hippocampal Stimulation. IEEE Trans. Biomed. Eng. 65(10): 2278-2289 (2018) - [c34]Andrew Gilbert, John P. Collomosse, Hailin Jin, Brian L. Price:
Disentangling Structure and Aesthetics for Style-Aware Image Completion. CVPR 2018: 1848-1856 - [c33]Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton:
Volumetric Performance Capture from Minimal Camera Viewpoints. ECCV (11) 2018: 591-607 - [c32]Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling. ECCV (10) 2018: 800-816 - [i3]Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling. CoRR abs/1807.01511 (2018) - [i2]Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton:
Volumetric performance capture from minimal camera viewpoints. CoRR abs/1807.01950 (2018) - 2017
- [j8]Philip Krejov, Andrew Gilbert, Richard Bowden:
Guided optimisation through classification and regression for hand pose estimation. Comput. Vis. Image Underst. 155: 124-138 (2017) - [j7]Andrew Gilbert, Richard Bowden:
Image and video mining through online learning. Comput. Vis. Image Underst. 158: 72-84 (2017) - [c31]Charles Malleson, Andrew Gilbert, Matthew Trumble, John P. Collomosse, Adrian Hilton, Marco Volino:
Real-Time Full-Body Motion Capture from Video and IMUs. 3DV 2017: 449-457 - [c30]Matthew Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, John P. Collomosse:
Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors. BMVC 2017 - [c29]Eric Kauderer-Abrams, Andrew Gilbert, Aaron Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen:
A population-level approach to temperature robustness in neuromorphic systems. ISCAS 2017: 1-4 - 2016
- [c28]Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandréa, Robert J. Gaizauskas, Mauricio Villegas, Krystian Mikolajczyk:
Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task. CLEF (Working Notes) 2016: 254-278 - [c27]Mauricio Villegas, Henning Müller, Alba Garcia Seco de Herrera, Roger Schaer, Stefano Bromuri, Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandréa, Robert J. Gaizauskas, Krystian Mikolajczyk, Joan Puigcerver, Alejandro H. Toselli, Joan-Andreu Sánchez, Enrique Vidal:
General Overview of ImageCLEF at the CLEF 2016 Labs. CLEF 2016: 267-285 - [c26]Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Deep Convolutional Networks for Marker-less Human Pose Estimation from Multiple Views. CVMP 2016: 6:1-6:9 - [c25]Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Learning Markerless Human Pose Estimation from Multiple Viewpoint Video. ECCV Workshops (3) 2016: 871-878 - [c24]Clayton S. Bingham, Kyle Loizos, Gene J. Yu, Andrew Gilbert, Jean-Marie Bouteiller, Dong Song, Gianluca Lazzi, Theodore W. Berger:
A large-scale detailed neuronal model of electrical stimulation of the dentate gyrus and perforant path as a platform for electrode design and optimization. EMBC 2016: 2794-2797 - [c23]Andrew Gilbert, Bryan Mesmer, Michael D. Watson:
Exergy based optimization of rocket system staging times. SysCon 2016: 1-7 - [i1]Andrew Gilbert, Richard Bowden:
Image and Video Mining through Online Learning. CoRR abs/1609.02770 (2016) - 2015
- [c22]Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Emmanuel Dellandréa, Robert J. Gaizauskas, Mauricio Villegas, Krystian Mikolajczyk:
Overview of the ImageCLEF 2015 Scalable Image Annotation, Localization and Sentence Generation task. CLEF (Working Notes) 2015 - [c21]Mauricio Villegas, Henning Müller, Andrew Gilbert, Luca Piras, Josiah Wang, Krystian Mikolajczyk, Alba Garcia Seco de Herrera, Stefano Bromuri, M. Ashraful Amin, Mahmood Kazi Mohammed, Burak Acar, Suzan Üsküdarli, Neda Barzegar Marvasti, José Francisco Aldana Montes, María del Mar Roldán García:
General Overview of ImageCLEF at the CLEF 2015 Labs. CLEF 2015: 444-461 - [c20]Andrew Gilbert, Kyle Loizos, Anil Kumar RamRakhyani, Phillip J. Hendrickson, Gianluca Lazzi, Theodore W. Berger:
A 3-D admittance-level computational model of a rat hippocampus for improving prosthetic design. EMBC 2015: 2295-2298 - [c19]Philip Krejov, Andrew Gilbert, Richard Bowden:
Combining discriminative and model based approaches for hand pose estimation. FG 2015: 1-7 - [c18]Andrew Gilbert, Richard Bowden:
Geometric Mining: Scaling Geometric Hashing to Large Datasets. ICCV Workshops 2015: 1027-1035 - [c17]Andrew Gilbert, Bryan Mesmer, Michael D. Watson:
Exergy analysis of rocket systems. SysCon 2015: 283-288 - 2014
- [j6]Philip Krejov, Andrew Gilbert, Richard Bowden:
A Multitouchless Interface: Expanding User Interaction. IEEE Computer Graphics and Applications 34(3): 40-48 (2014) - [j5]Olusegun Oshin, Andrew Gilbert, Richard Bowden:
Capturing relative motion and finding modes for action recognition in the wild. Comput. Vis. Image Underst. 125: 155-171 (2014) - [c16]Andrew Gilbert, Richard Bowden:
Data Mining for Action Recognition. ACCV (5) 2014: 290-303 - 2012
- [j4]Luis Merino, Andrew Gilbert, Jesús Capitán, Richard Bowden, John Illingworth, Aníbal Ollero:
Data fusion in ubiquitous networked robot systems for urban services. Ann. des Télécommunications 67(7-8): 355-375 (2012) - [c15]Andrew Gilbert, Richard Bowden:
A Picture Is Worth a Thousand Tags: Automatic Web Based Image Tag Expansion. ACCV (2) 2012: 447-460 - [c14]Affan Shaukat, Andrew Gilbert, David Windridge, Richard Bowden:
Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians. ICPR 2012: 874-877 - 2011
- [j3]Andrew Gilbert, John Illingworth, Richard Bowden:
Action Recognition Using Mined Hierarchical Compound Features. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 883-897 (2011) - [c13]Andrew Gilbert, Richard Bowden:
Push and Pull: Iterative grouping of media. BMVC 2011: 1-12 - [c12]Olusegun Oshin, Andrew Gilbert, Richard Bowden:
Capturing the relative distribution of features for action recognition. FG 2011: 111-116 - [c11]Dumebi Okwechime, Eng-Jon Ong, Andrew Gilbert, Richard Bowden:
Visualisation and prediction of conversation interest through mined social signals. FG 2011: 951-956 - [c10]Olusegun Oshin, Andrew Gilbert, Richard Bowden:
There Is More Than One Way to Get Out of a Car: Automatic Mode Finding for Action Recognition in the Wild. IbPRIA 2011: 41-48 - [c9]Andrew Gilbert, Richard Bowden:
iGroup: Weakly supervised image and video grouping. ICCV 2011: 2166-2173 - 2010
- [j2]Alberto Sanfeliu, Juan Andrade-Cetto, Marco Barbosa, Richard Bowden, Jesús Capitán, Andreu Corominas Murtra, Andrew Gilbert, John Illingworth, Luis Merino, Josep M. Mirats Tur, Plinio Moreno, Aníbal Ollero, João Sequeira, Matthijs T. J. Spaan:
Decentralized Sensor Fusion for Ubiquitous Networking Robotics in Urban Areas. Sensors 10(3): 2274-2314 (2010) - [c8]Dumebi Okwechime, Eng-Jon Ong, Andrew Gilbert, Richard Bowden:
Social Interactive Human Video Synthesis. ACCV (1) 2010: 256-270 - [p1]Olusegun T. Oshin, Andrew Gilbert, John Illingworth, Richard Bowden:
Learning to Recognise Spatio-Temporal Interest Points. Machine Learning for Human Motion Analysis 2010: 14-30
2000 – 2009
- 2009
- [c7]Andrew Gilbert, John Illingworth, Richard Bowden:
Fast realistic multi-action recognition using mined dense spatio-temporal features. ICCV 2009: 925-931 - [c6]Olusegun Oshin, Andrew Gilbert, John Illingworth, Richard Bowden:
Action recognition using Randomised Ferns. ICCV Workshops 2009: 530-537 - [c5]Andrew Gilbert, John Illingworth, Richard Bowden, Jesús Capitán, Luis Merino:
Accurate fusion of robot, camera and wireless sensors for surveillance applications. ICCV Workshops 2009: 1290-1297 - 2008
- [j1]Andrew Gilbert, Richard Bowden:
Incremental, scalable tracking of objects inter camera. Comput. Vis. Image Underst. 111(1): 43-58 (2008) - [c4]Andrew Gilbert, John Illingworth, Richard Bowden:
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners. ECCV (1) 2008: 222-233 - 2007
- [c3]Andrew Gilbert, Richard Bowden:
Multi Person Tracking Within Crowded Scenes. Workshop on Human Motion 2007: 166-179 - 2006
- [c2]Andrew Gilbert, Richard Bowden:
Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity. ECCV (2) 2006: 125-136 - 2005
- [c1]Andrew Gilbert, Richard Bowden:
Incremental Modelling of the Posterior Distribution of Objects for Inter and Intra Camera Tracking. BMVC 2005
Coauthor Index
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