Iacopo Masi | DeepAI

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Featured Co-authors

Kai-Wei Chang
160 publications
C. -C. Jay Kuo
151 publications
Yue Wu
122 publications
Xiaoming Liu
83 publications
Alberto Del Bimbo
61 publications
Ram Nevatia
44 publications
Tal Hassner
40 publications
Wael AbdAlmageed
30 publications
Xiaohong Liu
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Prem Natarajan
28 publications
Gerard Medioni
24 publications

∙ 04/08/2023

Exploring the Connection between Robust and Generative Models

We offer a study that connects robust discriminative classifiers trained...

0 Senad Beadini, et al. ∙

∙ 03/30/2023

Hierarchical Fine-Grained Image Forgery Detection and Localization

Differences in forgery attributes of images generated in CNN-synthesized...

0 Xiao Guo, et al. ∙

∙ 09/23/2022

MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier

We offer a method for one-shot image synthesis that allows controlling m...

0 Mozhdeh Rouhsedaghat, et al. ∙

∙ 03/02/2021

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

In this technical report, we evaluate the adversarial robustness of a ve...

0 Dorjan Hitaj, et al. ∙

∙ 08/08/2020

Two-branch Recurrent Network for Isolating Deepfakes in Videos

The current spike of hyper-realistic faces artificially generated using ...

11 Iacopo Masi, et al. ∙

∙ 11/03/2019

Learning Structure via Consensus for Face Segmentation and Parsing

Face segmentation is the task of densely labeling pixels on the face acc...

22 Iacopo Masi, et al. ∙

∙ 06/07/2019

Does Generative Face Completion Help Face Recognition?

Face occlusions, covering either the majority or discriminative parts of...

0 Joe Mathai, et al. ∙

∙ 05/02/2019

Recurrent Convolutional Strategies for Face Manipulation Detection in Videos

The spread of misinformation through synthetically generated yet realist...

0 Ekraam Sabir, et al. ∙

∙ 05/02/2019

Recurrent-Convolution Approach to DeepFake Detection - State-Of-Art Results on FaceForensics++

Spread of misinformation has become a significant problem, raising the i...

0 Ekraam Sabir, et al. ∙

∙ 03/08/2019

RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance

For enterprise, personal and societal applications, there is now an incr...

0 Ayush Jaiswal, et al. ∙

∙ 03/02/2019

AIRD: Adversarial Learning Framework for Image Repurposing Detection

Image repurposing is a commonly used method for spreading misinformation...

0 Ayush Jaiswal, et al. ∙

∙ 02/02/2018

ExpNet: Landmark-Free, Deep, 3D Facial Expressions

We describe a deep learning based method for estimating 3D facial expres...

0 Feng-Ju Chang, et al. ∙

∙ 12/14/2017

Extreme 3D Face Reconstruction: Looking Past Occlusions

Existing single view, 3D face reconstruction methods can produce beautif...

0 Anh Tuan Tran, et al. ∙

∙ 08/24/2017

FacePoseNet: Making a Case for Landmark-Free Face Alignment

We show how a simple convolutional neural network (CNN) can be trained t...

0 Fengju Chang, et al. ∙

∙ 12/15/2016

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

The 3D shapes of faces are well known to be discriminative. Yet despite ...

0 Anh Tuan Tran, et al. ∙

∙ 07/08/2016

Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification

In this paper we introduce a method to overcome one of the main challeng...

0 Giuseppe Lisanti, et al. ∙

∙ 07/06/2016

Pooling Faces: Template based Face Recognition with Pooled Face Images

We propose a novel approach to template based face recognition. Our dual...

0 Tal Hassner, et al. ∙

∙ 03/23/2016

Face Recognition Using Deep Multi-Pose Representations

We introduce our method and system for face recognition using multiple p...

0 Wael AbdAlmageed, et al. ∙

∙ 03/23/2016

Do We Really Need to Collect Millions of Faces for Effective Face Recognition?

Face recognition capabilities have recently made extraordinary leaps. Th...

0 Iacopo Masi, et al. ∙

∙ 01/26/2014

Continuous Localization and Mapping of a Pan Tilt Zoom Camera for Wide Area Tracking

Pan-tilt-zoom (PTZ) cameras are powerful to support object identificatio...

0 Giuseppe Lisanti, et al. ∙

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