John P. Collomosse

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 113

Top Venues

Publications

Alexander Black, Jing Shi, Yifei Fan, Tu Bui, John P. Collomosse
VIXEN: Visual Text Comparison Network for Image Difference Captioning. AAAI (2024)
Alexander Black, Jing Shi, Yifei Fan, Tu Bui, John P. Collomosse
VIXEN: Visual Text Comparison Network for Image Difference Captioning. CoRR (2024)
Frances Liddell, Ella Tallyn, Evan Morgan, Kar Balan, Martin Disley, Theodore Koterwas, Billy Dixon, Caterina Moruzzi, John P. Collomosse, Chris Elsden
ORAgen: Exploring the Design of Attribution through Media Tokenisation. Conference on Designing Interactive Systems (Companion Volume) (2024)
Vishal Asnani, John P. Collomosse, Tu Bui, Xiaoming Liu, Shruti Agarwal
ProMark: Proactive Diffusion Watermarking for Causal Attribution. CoRR (2024)
Hang Hua, Jing Shi, Kushal Kafle, Simon Jenni, Daoan Zhang, John P. Collomosse, Scott Cohen, Jiebo Luo
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction. CoRR (2024)
John P. Collomosse, Andy Parsons
To Authenticity, and Beyond! Building Safe and Fair Generative AI Upon the Three Pillars of Provenance. IEEE Computer Graphics and Applications 44 (3) (2024)
Kar Balan, Andrew Gilbert, Alexander Black, Simon Jenni, Andy Parsons, John P. Collomosse
DECORAIT - DECentralized Opt-in/out Registry for AI Training. CVMP (2023)
Trisha Mittal, Ritwik Sinha, Viswanathan Swaminathan, John P. Collomosse, Dinesh Manocha
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis. WACV (Workshops) (2023)
Gemma Canet Tarres, Dan Ruta, Tu Bui, John P. Collomosse
PARASOL: Parametric Style Control for Diffusion Image Synthesis. CoRR (2023)
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 (2023)
Alexander Black, Simon Jenni, Tu Bui, Md. Mehrab Tanjim, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminanthan, John P. Collomosse
VADER: Video Alignment Differencing and Retrieval. CoRR (2023)
Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu
Layout Representation Learning with Spatial and Structural Hierarchies. AAAI (2023)
Kar Balan, Alex Black, Simon Jenni, Andrew Gilbert, Andy Parsons, John P. Collomosse
DECORAIT - DECentralized Opt-in/out Registry for AI Training. CoRR (2023)
Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin
NeAT: Neural Artistic Tracing for Beautiful Style Transfer. CoRR (2023)
Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse
RoSteALS: Robust Steganography using Autoencoder Latent Space. CoRR (2023)
Tu Bui, Shruti Agarwal, John P. Collomosse
TrustMark: Universal Watermarking for Arbitrary Resolution Images. CoRR (2023)
Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multim. Tools Appl. 82 (24) (2023)
Simon Jenni, Alexander Black, John P. Collomosse
Audio-Visual Contrastive Learning with Temporal Self-Supervision. AAAI (2023)
Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John P. Collomosse
EKILA: Synthetic Media Provenance and Attribution for Generative Art. CoRR (2023)
Alexander Black, Simon Jenni, Tu Bui, Md. Mehrab Tanjim, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, John P. Collomosse
VADER: Video Alignment Differencing and Retrieval. ICCV (2023)
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
SceneComposer: Any-Level Semantic Image Synthesis. CVPR (2023)
Simon Jenni, Alexander Black, John P. Collomosse
Audio-Visual Contrastive Learning with Temporal Self-Supervision. CoRR (2023)
Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse
RoSteALS: Robust Steganography using Autoencoder Latent Space. CVPR Workshops (2023)
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)
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 (2023)
Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse
CoGS: Controllable Generation and Search from Sketch and Style. CoRR (2022)
Tu Bui, Ning Yu, John P. Collomosse
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. CoRR (2022)
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. CoRR (2022)
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)
Tu Bui, Ning Yu, John P. Collomosse
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. ECCV (14) (2022)
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
SceneComposer: Any-Level Semantic Image Synthesis. CoRR (2022)
Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John P. Collomosse
ARIA: Adversarially Robust Image Attribution for Content Provenance. CoRR (2022)
Yifan Yang, Daniel Cooper, John P. Collomosse, Constantin Catalin Dragan, Mark Manulis, Jamie Steane, Arthi Manohar, Jo Briggs, Helen S. Jones, Wendy Moncur
TAPESTRY: A De-Centralized Service for Trusted Interaction Online. IEEE Trans. Serv. Comput. 15 (3) (2022)
Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse
HyperNST: Hyper-Networks for Neural Style Transfer. CoRR (2022)
Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse
CoGS: Controllable Generation and Search from Sketch and Style. ECCV (16) (2022)
Trisha Mittal, Ritwik Sinha, Viswanathan Swaminathan, John P. Collomosse, Dinesh Manocha
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis. CoRR (2022)
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 (2022)
Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John P. Collomosse
ARIA: Adversarially Robust Image Attribution for Content Provenance. CVPR Workshops (2022)
Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse
HyperNST: Hyper-Networks for Neural Style Transfer. ECCV Workshops (1) (2022)
Alexander Black, Tu Bui, Simon Jenni, Zhifei Zhang, Viswanathan Swaminanthan, John P. Collomosse
SImProv: Scalable Image Provenance Framework for Robust Content Attribution. CoRR (2022)
Kary Ho, Andrew Gilbert, Hailin Jin, John P. Collomosse
Neural architecture search for deep image prior. Comput. Graph. 98 (2021)
Alexander Black, Tu Bui, Simon Jenni, Vishy Swaminathan, John P. Collomosse
VPN: Video Provenance Network for Robust Content Attribution. CoRR (2021)
Dipu Manandhar, Hailin Jin, John P. Collomosse
Magic Layouts: Structural Prior for Component Detection in User Interface Designs. CoRR (2021)
Alexander Black, Tu Bui, Simon Jenni, Viswanathan (Vishy) Swaminathan, John P. Collomosse
VPN: Video Provenance Network for Robust Content Attribution. CVMP (2021)
Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. ICCVW (2021)
Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. CoRR (2021)
Alexander Black, Tu Bui, Long Mai, Hailin Jin, John P. Collomosse
Compositional Sketch Search. ICIP (2021)
Eric Nguyen, Tu Bui, Viswanathan (Vishy) Swaminathan, John P. Collomosse
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution. ICCV (2021)
Eric Nguyen, Tu Bui, Vishy Swaminathan, John P. Collomosse
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution. CoRR (2021)
Dipu Manandhar, Hailin Jin, John P. Collomosse
Magic Layouts: Structural Prior for Component Detection in User Interface Designs. CVPR (2021)
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)
Alexander Black, Tu Bui, Hailin Jin, Vishy Swaminathan, John P. Collomosse
Deep Image Comparator: Learning To Visualize Editorial Change. CVPR Workshops (2021)
Alexander Black, Tu Bui, Long Mai, Hailin Jin, John P. Collomosse
Compositional Sketch Search. CoRR (2021)
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 (2021)
Leonardo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
Sketchformer: Transformer-based Representation for Sketched Structure. CoRR (2020)
Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
Sketchformer: Transformer-Based Representation for Sketched Structure. CVPR (2020)
Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. BMVC (2020)
Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse
Inpainting of Wide-Baseline Multiple Viewpoint Video. IEEE Trans. Vis. Comput. Graph. 26 (7) (2020)
Tu Bui, Daniel Cooper, John P. Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Robert Keller, Olivier Thereaux
Tamper-Proofing Video With Hierarchical Attention Autoencoder Hashing on Blockchain. IEEE Trans. Multim. 22 (11) (2020)
Thomas Gittings, Steve Schneider, John P. Collomosse
Vax-a-Net: Training-Time Defence Against Adversarial Patch Attacks. ACCV (4) (2020)
Kary Ho, Andrew Gilbert, Hailin Jin, John P. Collomosse
Neural Architecture Search for Deep Image Prior. CoRR (2020)
Thomas Gittings, Steve A. Schneider, John P. Collomosse
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks. CoRR (2020)
Dipu Manandhar, Dan Ruta, John P. Collomosse
Learning Structural Similarity of User Interface Layouts Using Graph Networks. ECCV (22) (2020)
Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. NeurIPS (2020)
Glenn Parry, John P. Collomosse
Perspectives on "Good" in Blockchain for Good. Frontiers Blockchain 3 (2020)
Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. CoRR (2020)
Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. ACCV (1) (2020)
Charles Malleson, John P. Collomosse, Adrian Hilton
Real-Time Multi-person Motion Capture from Multi-view Video and IMUs. Int. J. Comput. Vis. 128 (6) (2020)
Louise V. Coutts, David Plans, Alan W. Brown, John P. Collomosse
Deep learning with wearable based heart rate variability for prediction of mental and general health. J. Biomed. Informatics 112 (2020)
Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. CoRR (2019)
Tu Bui, Daniel Cooper, John P. Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown
ARCHANGEL: Tamper-Proofing Video Archives Using Temporal Content Hashes on the Blockchain. CVPR Workshops (2019)
Tu Bui, Daniel Cooper, John P. Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown
ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain. CoRR (2019)
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) (2019)
Thomas Gittings, Steve A. Schneider, John P. Collomosse
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior. CoRR (2019)
John P. Collomosse, Tu Bui, Hailin Jin
LiveSketch: Query Perturbations for Guided Sketch-based Visual Search. CoRR (2019)
John P. Collomosse, Tu Bui, Hailin Jin
LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search. CVPR (2019)
Haotian Zhang, Long Mai, Hailin Jin, Zhaowen Wang, Ning Xu, John P. Collomosse
An Internal Learning Approach to Video Inpainting. ICCV (2019)
Yifan Yang, Daniel Cooper, John P. Collomosse, Constantin Catalin Dragan, Mark Manulis, Jamie Steane, Arthi Manohar, Jo Briggs, Helen S. Jones, Wendy Moncur
TAPESTRY: A Blockchain based Service for Trusted Interaction Online. CoRR (2019)
Haotian Zhang, Long Mai, Ning Xu, Zhaowen Wang, John P. Collomosse, Hailin Jin
An Internal Learning Approach to Video Inpainting. CoRR (2019)
Thomas Gittings, Steve A. Schneider, John P. Collomosse
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior. BMVC (2019)
Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti, John P. Collomosse
Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression. Comput. Graph. 71 (2018)
Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton
Volumetric performance capture from minimal camera viewpoints. CoRR (2018)
Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling. ECCV (10) (2018)
Yifan Yang, John P. Collomosse, Arthi Kanchana Manohar, Jo Briggs, Jamie Steane
TAPESTRY: Visualizing Interwoven Identities for Trust Provenance. VizSEC (2018)
Matteo Franceschi, Davide Morelli, David Plans, Alan W. Brown, John P. Collomosse, Louise V. Coutts, Laura Ricci
ComeHere: Exploiting Ethereum for Secure Sharing of Health-Care Data. Euro-Par Workshops (2018)
Alex Green, Mark Bell, John Sheridan, John P. Collomosse, Tu Bui, Alan Brown, Jamie Fawcett, Olivier Thereaux, Jeni Tennison
Using blockchain to engender trust in public digital archives. iPRES (2018)
Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton
Volumetric Performance Capture from Minimal Camera Viewpoints. ECCV (11) (2018)
John P. Collomosse, Tu Bui, Alan Brown, John Sheridan, Alex Green, Mark Bell, Jamie Fawcett, Jez Higgins, Olivier Thereaux
ARCHANGEL: Trusted Archives of Digital Public Documents. DocEng (2018)
John P. Collomosse, Tu Bui, Alan Brown, John Sheridan, Alex Green, Mark Bell, Jamie Fawcett, Jez Higgins, Olivier Thereaux
ARCHANGEL: Trusted Archives of Digital Public Documents. CoRR (2018)
Tu Bui, Leonardo Ribeiro, Moacir Ponti, John P. Collomosse
Deep Manifold Alignment for Mid-Grain Sketch Based Image Retrieval. ACCV (3) (2018)
Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling. CoRR (2018)
Andrew Gilbert, John P. Collomosse, Hailin Jin, Brian L. Price
Disentangling Structure and Aesthetics for Style-Aware Image Completion. CVPR (2018)
Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John P. Collomosse, Serge J. Belongie
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography. CoRR (2017)
Paul L. Rosin, David Mould, Itamar Berger, John P. Collomosse, Yu-Kun Lai, Chuan Li, Hua Li, Ariel Shamir, Michael Wand, Tinghuai Wang, Holger Winnemöller
Benchmarking non-photorealistic rendering of portraits. NPAR@Expressive (2017)
Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti, John P. Collomosse
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Comput. Vis. Image Underst. 164 (2017)
John P. Collomosse, Tu Bui, Michael J. Wilber, Chen Fang, Hailin Jin
Sketching with Style: Visual Search with Sketches and Aesthetic Context. ICCV (2017)
John P. Collomosse
Sketched Visual Narratives for Image and Video Search. DocEng (2017)
Matthew Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, John P. Collomosse
Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors. BMVC (2017)
Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John P. Collomosse, Serge J. Belongie
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography. ICCV (2017)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

John P. Collomosse