337 citations · 512 across the 24 of their papers we have counts for
7 papers · 1 filter
Invariant Representations through Adversarial Forgetting
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg +2
We propose a novel approach to achieving invariance for deep neural networks in the form of inducing amnesia to unwanted factors of data through a new adversarial forgetting mechan…
Towards Learning Structure via Consensus for Face Segmentation and Parsing
Iacopo Masi, Joe Mathai, Wael AbdAlmageed
Face segmentation is the task of densely labeling pixels on the face according to their semantics. While current methods place an emphasis on developing sophisticated architectures…
Does Generative Face Completion Help Face Recognition?
Joe Mathai, Iacopo Masi, Wael AbdAlmageed
Face occlusions, covering either the majority or discriminative parts of the face, can break facial perception and produce a drastic loss of information. Biometric systems such as…
Recurrent Convolutional Strategies for Face Manipulation Detection in Videos
Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal +3
The spread of misinformation through synthetically generated yet realistic images and videos has become a significant problem, calling for robust manipulation detection methods. De…
Unified Adversarial Invariance
Ayush Jaiswal, Yue Wu, Wael AbdAlmageed +1
We present a unified invariance framework for supervised neural networks that can induce independence to nuisance factors of data without using any nuisance annotations, but can ad…
AIRD: Adversarial Learning Framework for Image Repurposing Detection
Ayush Jaiswal, Yue Wu, Wael AbdAlmageed +2
Image repurposing is a commonly used method for spreading misinformation on social media and online forums, which involves publishing untampered images with modified metadata to cr…