Search Results for author: Iacopo Masi

Found 21 papers, 13 papers with code

Exploring the Connection between Robust and Generative Models

1 code implementation8 Apr 2023 Senad Beadini, Iacopo Masi

Though a common assumption is that adversarial points leave the manifold of the input data, our study finds out that, surprisingly, untargeted adversarial points in the input space are very likely under the generative model hidden inside the discriminative classifier -- have low energy in the EBM.

Hierarchical Fine-Grained Image Forgery Detection and Localization

1 code implementation CVPR 2023 Xiao Guo, Xiaohong Liu, Zhiyuan Ren, Steven Grosz, Iacopo Masi, Xiaoming Liu

As a result, the algorithm is encouraged to learn both comprehensive features and inherent hierarchical nature of different forgery attributes, thereby improving the IFDL representation.

Classification Representation Learning

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

1 code implementation23 Sep 2022 Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Kai-Wei Chang, C. -C. Jay Kuo, Iacopo Masi

We offer a method for one-shot image synthesis that allows controlling manipulations of a single image by inverting a quasi-robust classifier equipped with strong regularizers.

Image Generation

Two-branch Recurrent Network for Isolating Deepfakes in Videos

no code implementations ECCV 2020 Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael Abd-Almageed

The current spike of hyper-realistic faces artificially generated using deepfakes calls for media forensics solutions that are tailored to video streams and work reliably with a low false alarm rate at the video level.

DeepFake Detection Face Swapping +1

Towards Learning Structure via Consensus for Face Segmentation and Parsing

1 code implementation CVPR 2020 Iacopo Masi, Joe Mathai, Wael Abd-Almageed

Face segmentation is the task of densely labeling pixels on the face according to their semantics.

Does Generative Face Completion Help Face Recognition?

1 code implementation7 Jun 2019 Joe Mathai, Iacopo Masi, Wael Abd-Almageed

Face occlusions, covering either the majority or discriminative parts of the face, can break facial perception and produce a drastic loss of information.

Face Recognition Facial Inpainting

Recurrent Convolutional Strategies for Face Manipulation Detection in Videos

1 code implementation2 May 2019 Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael Abd-Almageed, Iacopo Masi, Prem Natarajan

The spread of misinformation through synthetically generated yet realistic images and videos has become a significant problem, calling for robust manipulation detection methods.

Face Swapping Misinformation

RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance

no code implementations8 Mar 2019 Ayush Jaiswal, Shuai Xia, Iacopo Masi, Wael Abd-Almageed

For enterprise, personal and societal applications, there is now an increasing demand for automated authentication of identity from images using computer vision.

AIRD: Adversarial Learning Framework for Image Repurposing Detection

1 code implementation CVPR 2019 Ayush Jaiswal, Yue Wu, Wael Abd-Almageed, Iacopo Masi, Premkumar Natarajan

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 create rumors and further propaganda.


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

1 code implementation2 Feb 2018 Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gerard Medioni

Our ExpNet CNN is applied directly to the intensities of a face image and regresses a 29D vector of 3D expression coefficients.

 Ranked #1 on 3D Facial Expression Recognition on 2017_test set (using extra training data)

3D Face Reconstruction 3D Facial Expression Recognition +2

Extreme 3D Face Reconstruction: Seeing Through Occlusions

1 code implementation CVPR 2018 Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gerard Medioni

Motivated by the concept of bump mapping, we propose a layered approach which decouples estimation of a global shape from its mid-level details (e. g., wrinkles).

3D Face Reconstruction

FacePoseNet: Making a Case for Landmark-Free Face Alignment

4 code implementations24 Aug 2017 Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gerard Medioni

Instead, we compare our FPN with existing methods by evaluating how they affect face recognition accuracy on the IJB-A and IJB-B benchmarks: using the same recognition pipeline, but varying the face alignment method.

 Ranked #1 on Facial Landmark Detection on 300W (Mean Error Rate metric)

3D Face Alignment Face Alignment +4

On Face Segmentation, Face Swapping, and Face Perception

2 code implementations22 Apr 2017 Yuval Nirkin, Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gerard Medioni

To this end, we use the Labeled Faces in the Wild (LFW) benchmark and measure the effect of intra- and inter-subject face swapping on recognition.

Face Swapping

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

no code implementations8 Jul 2016 Giuseppe Lisanti, Svebor Karaman, Iacopo Masi

In this paper we introduce a method to overcome one of the main challenges of person re-identification in multi-camera networks, namely cross-view appearance changes.

Cross-Modal Person Re-Identification

Pose-Aware Face Recognition in the Wild

no code implementations CVPR 2016 Iacopo Masi, Stephen Rawls, Gerard Medioni, Prem Natarajan

We propose a method to push the frontiers of unconstrained face recognition in the wild, focusing on the problem of extreme pose variations.

Face Recognition

Face Recognition Using Deep Multi-Pose Representations

no code implementations23 Mar 2016 Wael Abd-Almageed, Yue Wua, Stephen Rawlsa, Shai Harel, Tal Hassner, Iacopo Masi, Jongmoo Choi, Jatuporn Toy Leksut, Jungyeon Kim, Prem Natarajan, Ram Nevatia, Gerard Medioni

In our representation, a face image is processed by several pose-specific deep convolutional neural network (CNN) models to generate multiple pose-specific features.

Face Recognition Face Verification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.