no code implementations • 20 Apr 2024 • Jeremy Speth, Nathan Vance, Patrick Flynn, Adam Czajka
We present the first non-contrastive unsupervised learning framework for signal regression to mitigate the need for labelled video data.
no code implementations • 12 Apr 2024 • Nathan Vance, Patrick Flynn
Domain shift differences between training data for deep learning models and the deployment context can result in severe performance issues for models which fail to generalize.
no code implementations • 3 Feb 2024 • Jeremy Speth, Nathan Vance, Benjamin Sporrer, Lu Niu, Patrick Flynn, Adam Czajka
We provide thorough experiments demonstrating the suitability of MSPM to support research on rPPG, respiration rate, and PTT.
no code implementations • 9 Jan 2024 • Nathan Vance, Patrick Flynn
Model architecture refinement is a challenging task in deep learning research fields such as remote photoplethysmography (rPPG).
no code implementations • 19 Dec 2023 • Siamul Karim Khan, Patrick Tinsley, Mahsa Mitcheff, Patrick Flynn, Kevin W. Bowyer, Adam Czajka
Synthesis of same-identity biometric iris images, both for existing and non-existing identities while preserving the identity across a wide range of pupil sizes, is complex due to intricate iris muscle constriction mechanism, requiring a precise model of iris non-linear texture deformations to be embedded into the synthesis pipeline.
no code implementations • 6 Oct 2023 • Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton Crum, Kevin Bowyer, Patrick Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan Tapia, Christoph Busch, Carlos Aravena, Daniel Schulz
New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark.
no code implementations • 24 May 2023 • Nathan Vance, Jeremy Speth, Benjamin Sporrer, Patrick Flynn
Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models.
no code implementations • 16 Mar 2023 • Lu Niu, Jeremy Speth, Nathan Vance, Ben Sporrer, Adam Czajka, Patrick Flynn
In this paper we explored the feasibility of rPPG from non-face body regions such as the arms, legs, and hands.
1 code implementation • CVPR 2023 • Jeremy Speth, Nathan Vance, Patrick Flynn, Adam Czajka
Given the limited inductive biases and impressive empirical results, the approach is theoretically capable of discovering other periodic signals from video, enabling multiple physiological measurements without the need for ground truth signals.
no code implementations • 11 Mar 2023 • Jeremy Speth, Nathan Vance, Benjamin Sporrer, Lu Niu, Patrick Flynn, Adam Czajka
Extensive experimentation with eight research datasets (rPPG-specific: DDPM, CDDPM, PURE, UBFC, ARPM; deep fakes: DFDC; face presentation attack detection: HKBU-MARs; rPPG outlier: KITTI) show better accuracy of anomaly detection for deep learning models incorporating the proposed training (75. 8%), compared to models trained regularly (73. 7%) and to hand-crafted rPPG methods (52-62%).
no code implementations • 3 Nov 2022 • Patrick Tinsley, Adam Czajka, Patrick Flynn
Generative Adversarial Networks (GANs) have proven to be a preferred method of synthesizing fake images of objects, such as faces, animals, and automobiles.
no code implementations • 11 Aug 2022 • Patrick Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen
Programming Language Processing (PLP) using machine learning has made vast improvements in the past few years.
no code implementations • 5 Aug 2022 • Sandipan Banerjee, Walter Scheirer, Kevin Bowyer, Patrick Flynn
In this article, we analyze how changing the underlying 3D shape of the base identity in face images can distort their overall appearance, especially from the perspective of deep face recognition.
1 code implementation • 1 Dec 2021 • Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin Bowyer, Patrick Flynn, Dennis Chute, Eric Benjamin
In this paper, we present an end-to-end deep learning-based method for postmortem iris segmentation and recognition with a special visualization technique intended to support forensic human examiners in their efforts.
no code implementations • 21 Oct 2021 • Jeremy Speth, Nathan Vance, Patrick Flynn, Kevin W. Bowyer, Adam Czajka
Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor.
no code implementations • 11 Jun 2021 • Jeremy Speth, Nathan Vance, Adam Czajka, Kevin W. Bowyer, Diane Wright, Patrick Flynn
Our application context is an interview scenario in which the interviewee attempts to deceive the interviewer on selected responses.
no code implementations • 11 Jan 2021 • Jeremy Speth, Nathan Vance, Patrick Flynn, Kevin Bowyer, Adam Czajka
Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras.
1 code implementation • 10 Dec 2020 • Patrick Tinsley, Adam Czajka, Patrick Flynn
This raises privacy-related questions, but also stimulates discussions of (a) the face manifold's characteristics in the feature space and (b) how to create generative models that do not inadvertently reveal identity information of real subjects whose images were used for training.
no code implementations • 13 Jan 2020 • Aparna Bharati, Daniel Moreira, Patrick Flynn, Anderson Rocha, Kevin Bowyer, Walter Scheirer
To establish the efficacy of the proposed approach, comparisons with state-of-the-art handcrafted and deep learning-based descriptors, and image matching approaches are made.
no code implementations • 24 Mar 2019 • Joel Brogan, Aparna Bharati, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks.
no code implementations • 29 May 2018 • Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn
Although face recognition systems have achieved impressive performance in recent years, the low-resolution face recognition (LRFR) task remains challenging, especially when the LR faces are captured under non-ideal conditions, as is common in surveillance-based applications.
no code implementations • 29 May 2018 • Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn
Its applications lie widely in the real-world environment when high-resolution or high-quality images are hard to capture.
1 code implementation • 1 Jun 2017 • Allan Pinto, Daniel Moreira, Aparna Bharati, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence digital objects and collections over time.
1 code implementation • 31 May 2017 • Aparna Bharati, Daniel Moreira, Allan Pinto, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through doctored visual media.
no code implementations • 1 May 2017 • Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows.
1 code implementation • 16 Oct 2016 • Sandipan Banerjee, Joel Brogan, Janez Krizaj, Aparna Bharati, Brandon RichardWebster, Vitomir Struc, Patrick Flynn, Walter Scheirer
If a CNN is intended to tolerate facial pose, then we face an important question: should this training data be diverse in its pose distribution, or should face images be normalized to a single pose in a pre-processing step?
no code implementations • 19 May 2016 • Jason Grant, Patrick Flynn
Similarity scores in face recognition represent the proximity between pairs of images as computed by a matching algorithm.