239 citations
- Cornell UniversityUS6 papers
- Brookhaven National LaboratoryUS4 papers
- Rutgers, The State University of New JerseyUS4 papers
- United States Air Force Research LaboratoryUS4 papers
- University of WashingtonUS4 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- Princeton UniversityUS3 papers
- University of California San DiegoUS3 papers
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- University of VirginiaUS3 papers
- Apple (Israel)IL2 papers
7 papers · 1 filter
Learning Oculomotor Behaviors from Scanpath
Beibin Li, Nicholas Nuechterlein, Erin Barney +9
Identifying oculomotor behaviors relevant for eye-tracking applications is a critical but often challenging task. Aiming to automatically learn and extract knowledge from existing…
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
Umur Aybars Ciftci, Ilke Demir, Lijun Yin
Fake portrait video generation techniques have been posing a new threat to the society with photorealistic deep fakes for political propaganda, celebrity imitation, forged evidence…
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin, Siyu Huang, Ming Chen +2
In this paper, we focus on the problem of applying the transformer structure to video captioning effectively. The vanilla transformer is proposed for uni-modal language generation…
Minor Privacy Protection Through Real-time Video Processing at the Edge
Meng Yuan, Seyed Yahya Nikouei, Alem Fitwi +2
The collection of a lot of personal information about individuals, including the minor members of a family, by closed-circuit television (CCTV) cameras creates a lot of privacy con…
A Facial Affect Analysis System for Autism Spectrum Disorder
Beibin Li, Sachin Mehta, Deepali Aneja +4
In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, ar…
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge
Michel F. Valstar, Enrique Sánchez-Lozano, Jeffrey F. Cohn +5
The field of Automatic Facial Expression Analysis has grown rapidly in recent years. However, despite progress in new approaches as well as benchmarking efforts, most evaluations s…