43 citations · 162 across the 34 of their papers we have counts for
4 papers · 1 filter
Unsupervised learning of foreground object detection
Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu
Unsupervised learning poses one of the most difficult challenges in computer vision today. The task has an immense practical value with many applications in artificial intelligence…
Mining for meaning: from vision to language through multiple networks consensus
Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin +1
Describing visual data into natural language is a very challenging task, at the intersection of computer vision, natural language processing and machine learning. Language goes wel…
A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization
Alina Marcu, Dragos Costea, Emil Slusanschi +1
Semantic segmentation and vision-based geolocalization in aerial images are challenging tasks in computer vision. Due to the advent of deep convolutional nets and the availability…
Learning a Robust Society of Tracking Parts using Co-occurrence Constraints
Elena Burceanu, Marius Leordeanu
Object tracking is an essential problem in computer vision that has been researched for several decades. One of the main challenges in tracking is to adapt to object appearance cha…