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Publications associées (355)
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors
Sabine Süsstrunk, Yufan Ren, Peter Arpad Grönquist, Alessio Verardo, Qingyi He
Video DeepFakes are fake media created with Deep Learning (DL) that manipulate a person’s expression or identity. Most current DeepFake detection methods analyze each frame independently, ignoring inconsistencies and unnatural movements between frames. Som ...
2024SoDaCam: Software-defined Cameras via Single-Photon Imaging
Edoardo Charbon, Andrei Ardelean, Mohit Gupta
Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devices. Photon ...
Ieee Computer Soc2023Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
Mathieu Salzmann, Yinlin Hu, Fulin Liu
Most modern image-based 6D object pose estimation methods learn to predict 2D-3D correspondences, from which the pose can be obtained using a PnP solver. Because of the non-differentiable nature of common PnP solvers, these methods are supervised via the i ...
Ieee Computer Soc2023Referencing in YouTube Knowledge Communication Videos
Daniel Gatica-Perez, Haeeun Kim
In recent years, there has been widespread concern about misinformation and hateful content on social media that are damaging societies. Being one of the most influential social media that practically serves as a newsearch engine, YouTube has accepted crit ...
New York2023AI-based telepresence for broadcast applications
Touradj Ebrahimi, Rayan Daod Nathoo, Laurent Deillon, Henrique Piñeiro Monteagudo
In this paper, we introduce a new solution and underlying architecture that allows remote participants to interact with hosts in a broadcast scenario. To achieve this, background extraction is first applied to video received from remote participants to ext ...
SPIE2022Feature-based no-reference video quality assessment using Extra Trees
Arash Amini, Hatef Otroshi Shahreza
With the emergence of social networks and improvements in the internet speed, the video data has become an ever-increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end wh ...
WILEY2022Dynamic Vehicle Drifting With Nonlinear MPC and a Fused Kinematic-Dynamic Bicycle Model
Guillaume Denis Antoine Bellegarda
In this letter we present a versatile trajectory optimization framework that leverages a fused kinematic-dynamic bicycle model for highly dynamic vehicle drifting maneuvers. Our framework can be used online to generate drifting maneuvers, offline to plan d ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals
Martin Vetterli, Adam James Scholefield, Karen Adam
In event-based sensing, many sensors independently and asynchronously emit events when there is a change in their input. Event-based sensing can present significant improvements in power efficiency when compared to traditional sampling, because (1) the out ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022WeChat as an unavoidable research tool for fieldwork, and its problems
I did not use WeChat as my main method or main source of materials, but I realized that during my fieldwork in China, I did use WeChat very often to help me collect data, and I see the potential of using WeChat as an increasingly important method for furth ...
2022A novel assessment framework for learning-based deepfake detectors in realistic conditions
Detecting manipulations in facial images and video has become an increasingly popular topic in media forensics community. At the same time, deep convolutional neural networks have achieved exceptional results on deepfake detection tasks. Despite the remark ...
2022