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20042026
most citedA Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition

232 citations

Showing 2019Show all

5 papers · 1 filter

cond-mat.soft2019★ 3 cited

Morphology-dependent random binary fragmentation of in silico fractal-like agglomerates

Y. Drossinos, A. D. Melas, M. Kostoglou +1

Linear binary fragmentation of synthetic fractal-like agglomerates composed of spherical, equal-size, touching monomers is numerically investigated. Agglomerates of different morph…

cs.CV2019★ 8 cited

Spherical View Synthesis for Self-Supervised 360 Depth Estimation

Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas +2

Learning based approaches for depth perception are limited by the availability of clean training data. This has led to the utilization of view synthesis as an indirect objective fo…

cs.CV2019★ 35 cited

A Low-Cost, Flexible and Portable Volumetric Capturing System

Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou +4

Multi-view capture systems are complex systems to engineer. They require technical knowledge to install and intricate processes to setup related mainly to the sensors' spatial alig…

cs.CV2019★ 1 cited

Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context

Jie Zhang, Yin Zhao, Longjun Cai +2

Predicting the emotional impact of videos using machine learning is a challenging task considering the varieties of modalities, the complicated temporal contex of the video as well…

cs.LG2019★ 62 cited

Multi-Kernel Capsule Network for Schizophrenia Identification

Tian Wang, Anastasios Bezerianos, Andrzej Cichocki +1

Objective: Schizophrenia seriously affects the quality of life. To date, both simple (linear discriminant analysis) and complex (deep neural network) machine learning methods have…