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 • 20 Jul 2023 • Josh Myers-Dean, Yifei Fan, Brian Price, Wilson Chan, Danna Gurari
Interactive segmentation entails a human marking an image to guide how a model either creates or edits a segmentation.
no code implementations • CVPR 2022 • Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim
Depth maps are used in a wide range of applications from 3D rendering to 2D image effects such as Bokeh.
no code implementations • 19 Oct 2020 • Honglin Li, Yifei Fan, Frieder Ganz, Anthony Yezzi, Payam Barnaghi
The robustness of neural networks is challenged by adversarial examples that contain almost imperceptible perturbations to inputs, which mislead a classifier to incorrect outputs in high confidence.
1 code implementation • 26 Nov 2019 • Chao Tang, Yifei Fan, Anthony Yezzi
The safety and robustness of learning-based decision-making systems are under threats from adversarial examples, as imperceptible perturbations can mislead neural networks to completely different outputs.
1 code implementation • 27 Jan 2018 • Yifei Fan, Anthony Yezzi
Two major uncertainties, dataset bias and adversarial examples, prevail in state-of-the-art AI algorithms with deep neural networks.