no code implementations • 14 Mar 2024 • Vishal Asnani, John Collomosse, Tu Bui, Xiaoming Liu, Shruti Agarwal
ProMark can maintain image quality whilst outperforming correlation-based attribution.
no code implementations • 29 Feb 2024 • Alexander Black, Jing Shi, Yifei Fan, Tu Bui, John Collomosse
We present VIXEN - a technique that succinctly summarizes in text the visual differences between a pair of images in order to highlight any content manipulation present.
no code implementations • 30 Nov 2023 • Tu Bui, Shruti Agarwal, John Collomosse
We propose TrustMark - a GAN-based watermarking method with novel design in architecture and spatio-spectra losses to balance the trade-off between watermarked image quality with the watermark recovery accuracy.
1 code implementation • 6 Apr 2023 • Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse
Data hiding such as steganography and invisible watermarking has important applications in copyright protection, privacy-preserved communication and content provenance.
no code implementations • ICCV 2023 • Alexander Black, Simon Jenni, Tu Bui, Md. Mehrab Tanjim, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, John Collomosse
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos.
no code implementations • 11 Mar 2023 • Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse
We propose PARASOL, a multi-modal synthesis model that enables disentangled, parametric control of the visual style of the image by jointly conditioning synthesis on both content and a fine-grained visual style embedding.
1 code implementation • 5 Jul 2022 • Tu Bui, Ning Yu, John Collomosse
Uniquely, we present a solution to this task capable of 1) matching images invariant to their semantic content; 2) robust to benign transformations (changes in quality, resolution, shape, etc.)
no code implementations • 28 Jun 2022 • Alexander Black, Tu Bui, Simon Jenni, Zhifei Zhang, Viswanathan Swaminanthan, John Collomosse
We present SImProv - a scalable image provenance framework to match a query image back to a trusted database of originals and identify possible manipulations on the query.
1 code implementation • 17 Mar 2022 • Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John Collomosse
CoGS enables exploration of diverse appearance possibilities for a given sketched object, enabling decoupled control over the structure and the appearance of the output.
no code implementations • 25 Feb 2022 • Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John Collomosse
Finally, we show how to train an adversarially robust image comparator model for detecting editorial changes in matched images.
no code implementations • 21 Sep 2021 • Alexander Black, Tu Bui, Simon Jenni, Vishy Swaminathan, John Collomosse
We present VPN - a content attribution method for recovering provenance information from videos shared online.
1 code implementation • 16 Aug 2021 • Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, Moacir Ponti
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i. e. drawings that describe both the appearance and relative positions of objects.
no code implementations • ICCV 2021 • Eric Nguyen, Tu Bui, Vishy Swaminathan, John Collomosse
Our key contribution is OSCAR-Net (Object-centric Scene Graph Attention for Image Attribution Network); a robust image hashing model inspired by recent successes of Transformers in the visual domain.
1 code implementation • 15 Jun 2021 • Alexander Black, Tu Bui, Long Mai, Hailin Jin, John Collomosse
We present an algorithm for searching image collections using free-hand sketches that describe the appearance and relative positions of multiple objects.
1 code implementation • CVPR 2020 • Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, Moacir Ponti
Sketchformer is a novel transformer-based representation for encoding free-hand sketches input in a vector form, i. e. as a sequence of strokes.
no code implementations • 26 Apr 2019 • Tu Bui, Daniel Cooper, John Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown
We present ARCHANGEL; a novel distributed ledger based system for assuring the long-term integrity of digital video archives.
no code implementations • CVPR 2019 • John Collomosse, Tu Bui, Hailin Jin
LiveSketch is a novel algorithm for searching large image collections using hand-sketched queries.
no code implementations • ICCV 2017 • John Collomosse, Tu Bui, Michael J. Wilber, Chen Fang, Hailin Jin
We propose a novel measure of visual similarity for image retrieval that incorporates both structural and aesthetic (style) constraints.
no code implementations • 16 Nov 2016 • Tu Bui, Leonardo Ribeiro, Moacir Ponti, John Collomosse
We propose and evaluate several triplet CNN architectures for measuring the similarity between sketches and photographs, within the context of the sketch based image retrieval (SBIR) task.