92 citations · 129 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
Tu Bui, Ning Yu, John Collomosse
Rapid advances in Generative Adversarial Networks (GANs) raise new challenges for image attribution; detecting whether an image is synthetic and, if so, determining which GAN archi…
SImProv: Scalable Image Provenance Framework for Robust Content Attribution
Alexander Black, Tu Bui, Simon Jenni +3
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. SImProv…
CoGS: Controllable Generation and Search from Sketch and Style
Cusuh Ham, Gemma Canet Tarres, Tu Bui +3
We present CoGS, a novel method for the style-conditioned, sketch-driven synthesis of images. CoGS enables exploration of diverse appearance possibilities for a given sketched obje…
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Tuan Anh Bui, Trung Le, Quan Tran +2
It is well-known that deep neural networks (DNNs) are susceptible to adversarial attacks, exposing a severe fragility of deep learning systems. As the result, adversarial training…
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…