no code implementations • 9 Feb 2024 • Dragos Costea, Alina Marcu, Cristina Lazar, Marius Leordeanu
Our goal is to track and analyze facial expressions, and other non-verbal cues in real-time, and use this information to build models that can predict and understand human behavior.
no code implementations • 21 Aug 2023 • Mihai Pirvu, Alina Marcu, Alexandra Dobrescu, Nabil Belbachir, Marius Leordeanu
There are many ways of interpreting the world and they are highly interdependent.
no code implementations • 15 Aug 2023 • Alina Marcu, Mihai Pirvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Ahmed Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu
Thus, each node could be an input node in some hyperedges and an output node in others.
no code implementations • 26 Jun 2023 • Alexandra Budisteanu, Dragos Costea, Alina Marcu, Marius Leordeanu
First, we manage to stay anchored in the real 3D world, by introducing an efficient multi-scale voxel carving method, which is able to accommodate significant noises in pose, depth, and illumination variations, while being able to reconstruct the view of the world from drastically different poses at test time.
3 code implementations • 2 Oct 2020 • Marius Leordeanu, Mihai Pirvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar
The unsupervised learning process is repeated over several generations, in which each edge becomes a "student" and also part of different ensemble "teachers" for training other students.
2 code implementations • 2 Oct 2020 • Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu
Motivated by the lack of a large video aerial dataset, we also introduce Ruralscapes, a new dataset with high resolution (4K) images and manually-annotated dense labels every 50 frames - the largest of its kind, to the best of our knowledge.
no code implementations • 22 Oct 2019 • Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu
Semantic segmentation is a crucial task for robot navigation and safety.
no code implementations • 4 Apr 2018 • Alina Marcu, Dragos Costea, Emil Slusanschi, Marius Leordeanu
The first stage of our network predicts pixelwise class labels, while the second stage provides a precise location using two branches.
no code implementations • 18 May 2016 • Alina Marcu, Marius Leordeanu
Our model learns to combine local object appearance as well as information from the larger scene at the same time and in a complementary way, such that together they form a powerful classifier.