output
20152026
most citedEuropean Aerosol Phenomenology -- 8: Harmonised Source Apportionment of Organic Aerosol using 22 Year-long ACSM/AMS Datasets

226 citations

Showing 2019Show all

8 papers · 1 filter

cs.CR2019★ 26 cited

Anomalous Communications Detection in IoT Networks Using Sparse Autoencoders

Mustafizur Rahman Shahid, Gregory Blanc, Zonghua Zhang +1

Nowadays, IoT devices have been widely deployed for enabling various smart services, such as, smart home or e-healthcare. However, security remains as one of the paramount concern…

cs.CV2019★ 5 cited

Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition

Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor

The detection and tracking of human landmarks in video streams has gained in reliability partly due to the availability of affordable RGB-D sensors. The analysis of such time-varyi…

cs.CV2019★ 65 cited

Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

Naima Otberdout, Mohamed Daoudi, Anis Kacem +2

In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling…

cs.CV2019★ 1 cited

Impact of facial landmark localization on facial expression recognition

Romain Belmonte, Benjamin Allaert, Pierre Tirilly +3

Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of…

cs.CV2019★ 12 cited

Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation

Delphine Poux, Benjamin Allaert, Jose Mennesson +3

Although much progress has been made in the facial expression analysis field, facial occlusions are still challenging. The main innovation brought by this contribution consists in…

cs.CV2019★ 31 cited

Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study

Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco +2

Optical flow techniques are becoming increasingly performant and robust when estimating motion in a scene, but their performance has yet to be proven in the area of facial expressi…

cs.IT2019★ 17 cited

Multiple Importance Sampling for Efficient Symbol Error Rate Estimation

Víctor Elvira, Ignacio Santamaría

Digital constellations formed by hexagonal or other non-square two-dimensional lattices are often used in advanced digital communication systems. The integrals required to evaluate…

cs.CV2019★ 46 cited

Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?

Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco +2

Spiking neural networks (SNNs) equipped with latency coding and spike-timing dependent plasticity rules offer an alternative to solve the data and energy bottlenecks of standard co…