1 code implementation • 8 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.
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.
1 code implementation • 23 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.
1 code implementation • 2 Mar 2021 • Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi, Luigi V. Mancini
The original model shows an accuracy of 59% under AutoAttack - when trained with additional data with pseudo-labels.
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.
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.
1 code implementation • 7 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.
1 code implementation • 2 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.
no code implementations • 8 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.
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.
1 code implementation • 2 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)
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).
4 code implementations • 24 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)
2 code implementations • 22 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.
4 code implementations • CVPR 2017 • Anh Tuan Tran, Tal Hassner, Iacopo Masi, Gerard Medioni
The 3D shapes of faces are well known to be discriminative.
Ranked #4 on 3D Face Reconstruction on Florence (Average 3D Error metric)
no code implementations • 8 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.
no code implementations • 6 Jul 2016 • Tal Hassner, Iacopo Masi, Jungyeon Kim, Jongmoo Choi, Shai Harel, Prem Natarajan, Gerard Medioni
We propose a novel approach to template based face recognition.
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.
no code implementations • 23 Mar 2016 • Iacopo Masi, Anh Tuan Tran, Jatuporn Toy Leksut, Tal Hassner, Gerard Medioni
Face recognition capabilities have recently made extraordinary leaps.
Ranked #12 on Face Verification on IJB-A
no code implementations • 23 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.
Ranked #14 on Face Verification on IJB-A
no code implementations • 26 Jan 2014 • Giuseppe Lisanti, Iacopo Masi, Federico Pernici, Alberto del Bimbo
Pan-tilt-zoom (PTZ) cameras are powerful to support object identification and recognition in far-field scenes.