43 citations · 162 across the 34 of their papers we have counts for
6 papers · 1 filter
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos
Emanuela Haller, Adina Magda Florea, Marius Leordeanu
We propose a dual system for unsupervised object segmentation in video, which brings together two modules with complementary properties: a space-time graph that discovers objects i…
Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation
Alina Marcu, Vlad Licaret, Dragos Costea +1
Semantic segmentation is a crucial task for robot navigation and safety. However, current supervised methods require a large amount of pixelwise annotations to yield accurate resul…
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
Marius Leordeanu, Mihai Pirvu, Dragos Costea +3
We address the challenging problem of semi-supervised learning in the context of multiple visual interpretations of the world by finding consensus in a graph of neural networks. Ea…
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Iulia Duta, Andrei Nicolicioiu, Marius Leordeanu
Graph Neural Networks are perfectly suited to capture latent interactions between various entities in the spatio-temporal domain (e.g. videos). However, when an explicit structure…
A regime switching on Covid19 analysis and prediction in Romania
Marian Petrica, Radu D. Stochitoiu, Marius Leordeanu +1
In this paper we propose a three stages analysis of the evolution of Covid19 in Romania. There are two main issues when it comes to pandemic prediction. The first one is the fact t…
In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos
Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu
Automatically detecting vital signs in videos, such as the estimation of heart and respiration rates, is a challenging research problem in computer vision with important applicatio…