activity
20182022
most citedVPN: Video Provenance Network for Robust Content Attribution

9 citations · 24 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV20227 cited

LAPFormer: A Light and Accurate Polyp Segmentation Transformer

Mai Nguyen, Tung Thanh Bui, Quan Van Nguyen +2

Polyp segmentation is still known as a difficult problem due to the large variety of polyp shapes, scanning and labeling modalities. This prevents deep learning model to generalize…

cs.CV2022

ARIA: Adversarially Robust Image Attribution for Content Provenance

Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm +4

Image attribution -- matching an image back to a trusted source -- is an emerging tool in the fight against online misinformation. Deep visual fingerprinting models have recently b…

cs.CV20219 cited

VPN: Video Provenance Network for Robust Content Attribution

Alexander Black, Tu Bui, Simon Jenni +2

We present VPN - a content attribution method for recovering provenance information from videos shared online. Platforms, and users, often transform video into different quality, c…

cs.CV2021

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

Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse +1

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 po…

cs.CV2021

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

Eric Nguyen, Tu Bui, Vishy Swaminathan +1

Images tell powerful stories but cannot always be trusted. Matching images back to trusted sources (attribution) enables users to make a more informed judgment of the images they e…

cs.CV2021

Compositional Sketch Search

Alexander Black, Tu Bui, Long Mai +2

We present an algorithm for searching image collections using free-hand sketches that describe the appearance and relative positions of multiple objects. Sketch based image retriev…