2 citations · 2 across the 5 of their papers we have counts for
7 papers
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies
Mulin Tian, Mahyar Khayatkhoei, Joe Mathai +1
Deepfake videos present an increasing threat to society with potentially negative impact on criminal justice, democracy, and personal safety and privacy. Meanwhile, detecting deepf…
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision
Gourav Datta, Zeyu Liu, Md Abdullah-Al Kaiser +6
Due to the high activation sparsity and use of accumulates (AC) instead of expensive multiply-and-accumulates (MAC), neuromorphic spiking neural networks (SNNs) have emerged as a p…
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking
Gourav Datta, Souvik Kundu, Zihan Yin +11
Today's high resolution, high frame rate cameras in autonomous vehicles generate a large volume of data that needs to be transferred and processed by a downstream processor or mach…
Detection and Continual Learning of Novel Face Presentation Attacks
Mohammad Rostami, Leonidas Spinoulas, Mohamed Hussein +2
Advances in deep learning, combined with availability of large datasets, have led to impressive improvements in face presentation attack detection research. However, state-of-the-a…
Multispectral Biometrics System Framework: Application to Presentation Attack Detection
Leonidas Spinoulas, Mohamed Hussein, David Geissbühler +5
In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination…
Towards Learning Structure via Consensus for Face Segmentation and Parsing
Iacopo Masi, Joe Mathai, Wael AbdAlmageed
Face segmentation is the task of densely labeling pixels on the face according to their semantics. While current methods place an emphasis on developing sophisticated architectures…