3 papers
cs.LG2021
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
Emanuela Haller, Elena Burceanu, Marius Leordeanu
The human ability to synchronize the feedback from all their senses inspired recent works in multi-task and multi-modal learning. While these works rely on expensive supervision, o…
cs.CV2020
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…
cs.CV2019
Spacetime Graph Optimization for Video Object Segmentation
Emanuela Haller, Adina Magda Florea, Marius Leordeanu
We address the challenging task of foreground object discovery and segmentation in video. We introduce an efficient solution, suitable for both unsupervised and supervised scenario…