Research Papers




Research Papers

RESEARCH PAPER / IEEE GLOBECOM 2020 Industry Presentation Program / Dec 2020 / 5G, 6G, Wireless communication
Blockchain technology is a technology that jointly leverages and builds on top of a few existing techniques such as cryptography, hashing, Peer-to-Peer (P2P) networking, smart contract, and consensus protocols. Fully distributed control and management capability of the 5G/6G wireless systems may be enabled by blockchain technology, especially in the untrusted...
RESEARCH PAPER / ACM/IFIP Middleware conference 2020 - Industry track / Dec 2020 / Network and Communications, 5G, Wireless communication, Computing and Optimization
For Internet operators, on-line service providers and end-users, representative operational measurements are crucial to monitor and diagnose the performance of networks and on-line services. While numerous approaches have been proposed to measure performance, only a few works fully adopt an end-user perspective by taking measurements from within web browsers. In...
RESEARCH PAPER / IEEE Transactions on Image Processing / Dec 2020
RESEARCH PAPER / ACM/IEEE Symposium on Edge Computing workshop HotWoT / Nov 2020 / 5G, Wireless communication, Network and Communications, Computing and Optimization
This paper investigates the task management for cooperative mobile edge computing (MEC), where a set of geographically distributed heterogeneous edge nodes not only cooperate with remote cloud data centers but also help each other to jointly process tasks and support real-time IoT applications at the edge of the network. Especially,...
RESEARCH PAPER / OAI VIRTUAL WORKSHOP FALL 2020 / Nov 2020 / Haptic, 5G, 6G, Wireless communication
In this presentation we’ll talk about the development of Beam Management and describe the system attributes related to performing the initial beam establishment. We will also review the supported 3GPP requirements and limitations of the current implementation. We’ll then share some details about the beam management implementation done on the...
RESEARCH PAPER / Nov 2020 / Volumetric Imaging, Computer Graphics, Video coding
Representation of 3D scenes is gaining popularity in industry, notably for Virtual Reality, Augmented Reality, and 360° Video. The point cloud format is well suited for such representations. Indeed, point clouds can be created with a simple capture process and modest processing, enabling a real-time, end-to-end point cloud distribution chain....
RESEARCH PAPER / ISMAR / Nov 2020 / Immersive / AR/VR/MR
We describe a multi-user system enabling instant messaging in Augmented Reality. A user can get in contact with another one without requiring his/her identification number and can easily localize the person initiating the contact. It is also possible to exchange various types of personal information in a private manner. This...
RESEARCH PAPER / SMPTE annual conference / Nov 2020 / Light Field
Information captured by the eye allows the human brain to extract depth cues from the scene, to analyze them and to understand a complex 3D scene. In real life all these depth cues are naturally present at the same time and coherent. Rendering them on a display for several viewers...
RESEARCH PAPER / VRST / Nov 2020 / Immersive / AR/VR/MR
We introduce a system to assign navigation tasks to a self-moving robot using an Augmented Reality (AR) application running on a smartphone. The system relies on a robot controller and a central server hosted on a PC. The user points at a target location in the phone camera view and...
RESEARCH PAPER / Carnegie Mellon University - COMPUTER SCIENCE TECHNICAL REPORTS / Nov 2020 / Wireless communication, 5G
The emergence of edge computing introduces new complexity in the creation of distributed mobile applications. Application designers can now deploy application functionality in three or more tiers of compute infrastructure to optimize bandwidth, latency, cost, user experience and privacy for their users and their own operations. However, the diversity of...
RESEARCH PAPER / SMPTE 2020 / Oct 2020 / Volumetric Imaging, Compression, Video coding
Representation of 3D scenes is gaining popularity in industry, notably for Virtual Reality, Augmented Reality, and 360° Video. The point cloud format is well suited for such representations. Indeed, point clouds can be created with a simple capture process and modest processing, enabling a real-time, end-to-end point cloud distribution chain....
In this paper we address the problem of view synthesis from large baseline light fields, by turning a sparse set of input views into a Multi-plane Image (MPI). Because available datasets are scarce, we propose a lightweight network that does not require extensive training. Unlike latest approaches, our model does...
RESEARCH PAPER / Technoference / Oct 2020 / Volumetric Imaging, Immersive / AR/VR/MR
RESEARCH PAPER / ICPR2020 / Oct 2020 / Computer Vision
Face age editing has become a crucial task in film post-production, and is also becoming popular for general purpose photography. Recently, adversarial training has produced some of the most visually impressive results for image manipulation, including the face aging/de-aging task. In spite of considerable progress, current methods often present visual...
RESEARCH PAPER / Metamaterials'2020 / Sep 2020 / Light Field, Optics
In this work we propose a solution for the creation of a nanojet focusing component based on a combination of two dielectric materials capable of managing the position of the focused beam in the near zone. We demonstrate that the double-material design of the elements of metagratings can be used...
This paper presents CompressAI, an open-source library that provides custom operations, layers, models and tools to research, develop, and evaluate end-to-end image and video codecs. In particular, CompressAI includes pre-trained models and evaluation tools to compare learned methods with traditional codecs. Multiple models from the state-of-the-art on learned end-to-end image...
RESEARCH PAPER / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases / Sep 2020 / Machine learning/ Deep learning /Artificial Intelligence
arxiv version of https://interdigital.sharepoint.com/sites/RI/Lists/ID Publications/DispForm.aspx?ID=794
RESEARCH PAPER / ICPR 2020 / Sep 2020 / Computer Vision
Human Pose Estimation is a low-level task useful for surveillance, human action recognition, and scene understanding at large. It also offers promising perspectives for the animation of synthetic characters. For all these applications, and especially the latter, estimating the positions of many joints is desirable for improved performance and realism....