Search Results for author: Tu Bui

Found 9 papers, 2 papers with code

VPN: Video Provenance Network for Robust Content Attribution

no code implementations21 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.

Contrastive Learning

Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch

no code implementations16 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.

Contrastive Learning

OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution

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.

Contrastive Learning Graph Attention

Compositional Sketch Search

1 code implementation15 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.

Quantization Sketch-Based Image Retrieval

Sketchformer: Transformer-based Representation for Sketched Structure

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.

Dictionary Learning General Classification +1

LiveSketch: Query Perturbations for Guided Sketch-based Visual Search

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.

Sketching With Style: Visual Search With Sketches and Aesthetic Context

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.

Image Retrieval

Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search

no code implementations16 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.

Data Augmentation Dimensionality Reduction +2

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