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https://www.nist.gov/itl/iad/ig/ifpc-2020-conference-presentations-and-videos

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# IFPC 2020 Conference Presentations and Videos

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## Day 1 - 10/27/2020

                      - 11, Arun Vemury, DHS Science + Technology Directorate (US),  Welcome + DHS context
                      - 12, Istvan Szilard Racz​, EU-LISA: ​ European Entry-Exit System
                      - 13, Anna Stratmann, Wied Pakusa, Markus Münzel​, BSI (DE): ​ Biometric processes of the Entry Exit System
                      - 14, Patrick Grother,​ NIST (US): ​ Measurement of face recognition performance for Entry-Exit
                      - 15, Arun Ross, M​ichigan State University (US): ​ Look-alike disambiguation in face recognition
                      - 16, Mei Ngan,​ NIST (US):  E​valuation of face recognition accuracy for subjects potentially wearing face masks
                      - 17, Laura Rabbitt & Yevgeniy Sirotin,​ SAIC (US):  Human-Algorithm teaming in face recognition
                      - 18, Carina A. Hahn​, NIST (US)​:  The effectiveness of fusion in face recognition
                      - 19, P. Jonathon Phillips, N​IST (US):​ ​ Item response theory for designing calibrated face ability tests
                      - 1a, John Howard & Yevgeniy Sirotin,​ SAIC (US):  Q​uantifying race and gender effects in face versus Iris algorithms
                      - 1b, Amy N. Yates,​ NIST (US): ​ Perceptual face abilities of face examiners for varying tasks

[Day 1 Presenter Q&A]

VIDEO RECORDINGS

International Face Performance Conference (IFPC) 2020 - Day 1 Part 1

https://www.nist.gov/video/international-face-performance-conference-ifpc-2020-day-1-part-1

International Face Performance Conference (IFPC) 2020 - Day 1 Part 2

https://www.nist.gov/video/international-face-performance-conference-ifpc-2020-day-1-part-2

## Day 2 - 10/28/2020

                      - 21, Lars Ericson​, IARPA (US): ​Overview of the IARPA efforts on face recognition
                      - 22, Stergios Papadakis,​ Johns Hopkins Applied Physics Lab (US): ​Results from the Odin program on presentation attack detection
                      - 23, Marta Gomez-Barrero,​ Hochschule Ansbach (DE):  Presentation attack detection and unknown attacks
                      - 24, Christian Rathgeb,​ Hochschule Darmstadt (DE): ​ Impact of facial beautification on face recognition: From plastic surgery to makeup presentation attacks
                      - 25, Stéphane Gentric​, Idemia (FR): ​ Synthetic faces: Are they new identities and can they be used in evaluation?
                      - 26, Mei Ngan,​ NIST (US): ​ Face morphing - threats, technology, what's next
                      - 27, Christoph Busch​, NTNU/Hochschule Darmstadt (NO/DE):  Face morphing attack detection in the iMARS project
                      - 28, Kiran Raja​, NTNU/MOBAI (NO): ​ Morphing Attack Detection - obstacles for research to deployment
                      - 29, Chen Liu​, Z​ ander Blasingame​, Clarkson U., ​Jeremy Dawson​, ​Jacob Dameron​, West Virginia U. (US): ​ Center for Identification Technology Research (CITeR) Morph attack detection and mitigation projects
                      - 2a, Pawel Drozdowski​, Hochschule Darmstadt (DE):  Signal-level fusion for indexing and retrieval of facial biometric data
                      - 2b, Patrick Grother​, NIST (US): ​ Now under development: ISO/IEC 24358 face-aware capture specifications ISO/IEC 29794-5 face image quality standard

[Day 2 Presenter Q&A]

VIDEO RECORDINGS

International Face Performance Conference (IFPC) 2020 - Day 2 Part 1

https://www.nist.gov/video/international-face-performance-conference-ifpc-2020-day-2-part-1

International Face Performance Conference (IFPC) 2020 - Day 2 Part 2

https://www.nist.gov/video/international-face-performance-conference-ifpc-2020-day-2-part-2

## Day 3 - 10/29/2020

                      - 31, Stacy Oerder & Bill Perry​, Home Affairs (AU):  Mobile capture
                      - 32, Ted Dunstone, Stewart Pope​, ​Biometix (AU): Interactive techniques for visualizing and investigating biometric performance characteristics
                      - 33, Martins Bruveris, ​Onfido (UK)​: ​ Reducing geographic performance differentials for face recognition
                      - 34, Mosalam Ebrahimi​, Trueface AI (US): ​ A bias mitigation strategy: overcoming the problem of overly confident false matches
                      - 35, Jacqueline Cavazos​, UT Dallas (US): ​ Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
                      - 36, John Howard & Yevgeniy Sirotin, ​SAIC (US)​: ​ Revisiting the Fitzpatrick Scale and face photo-based estimates of skin phenotypes
                      - 37, Johanna Morley​, Metropolitan Police (UK): ​ Testing of demographic effects in an operational live facial recognition from video system
                      - 38, Michael Thieme, ​Novetta (US): ​ AI performance assessment standardization in SC 42 – implications for biometrics
                      - 39, Brendan Klare​, Rank One Computing (US): ​ Efficiency considerations for face recognition algorithms
                      - 3a, Bhargav Avasarala​, Paravision (US): ​ Challenges and considerations for masked face recognition
                      - 3b, Tony Mansfield​, NPL (UK): ​The new ISO/IEC 19795-1 biometric performance testing and reporting standard

[Day 3 Presenter Q&A]

VIDEO RECORDINGS

International Face Performance Conference (IFPC) 2020 - Day 3 Part 1

https://www.nist.gov/video/international-face-performance-conference-ifpc-2020-day-3-part-1

International Face Performance Conference (IFPC) 2020 -  Day 3 Part 2

https://www.nist.gov/video/international-face-performance-conference-ifpc-2020-day-3-part-2

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