7 papers
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras
Muhammad Rameez Ur Rahman, Jhony H. Giraldo, Indro Spinelli +2
Event cameras, known for low-latency operation and superior performance in challenging lighting conditions, are suitable for sensitive computer vision tasks such as semantic segmen…
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler +1
Re-Identification systems (Re-ID) are crucial for public safety but face the challenge of having to adapt to environments that differ from their training distribution. Furthermore,…
Source-Guided Similarity Preservation for Online Person Re-Identification
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler +1
Online Unsupervised Domain Adaptation (OUDA) for person Re-Identification (Re-ID) is the task of continuously adapting a model trained on a well-annotated source domain dataset to…
Predictive Coding For Animation-Based Video Compression
Goluck Konuko, Stéphane Lathuilière, Giuseppe Valenzise
We address the problem of efficiently compressing video for conferencing-type applications. We build on recent approaches based on image animation, which can achieve good reconstru…
A Hybrid Deep Animation Codec for Low-bitrate Video Conferencing
Goluck Konuko, Stéphane Lathuilière, Giuseppe Valenzise
Deep generative models, and particularly facial animation schemes, can be used in video conferencing applications to efficiently compress a video through a sparse set of keypoints,…
Online Unsupervised Domain Adaptation for Person Re-identification
Hamza Rami, Matthieu Ospici, Stéphane Lathuilière
Unsupervised domain adaptation for person re-identification (Person Re-ID) is the task of transferring the learned knowledge on the labeled source domain to the unlabeled target do…
Ultra-low bitrate video conferencing using deep image animation
Goluck Konuko, Giuseppe Valenzise, Stéphane Lathuilière
In this work we propose a novel deep learning approach for ultra-low bitrate video compression for video conferencing applications. To address the shortcomings of current video com…