Lotzi Bölöni is a Professor of
Computer Science at the University of Central
Florida. He is a co-director of the AI Things
Laboratory. He has secondary joint appointments in
the Dept. of Electrical and Computer Engineering, at the
UCF Center for Research in Computer
Vision (CRCV) and the UCF
Cluster for Disability, Aging and Technology.
He received a PhD and MSc degree from the Computer
Sciences Department of Purdue University and BSc in Computer Engineering from the
Technical University of Cluj-Napoca, Romania. He held
visiting researcher positions at
Computer and
Automation Research Institute of the Hungarian Academy of Sciences,
University of Rome ``La
Sapienza'',
Imperial College of London and
KTH Royal Institute of Technology, Stockholm, Sweden. He is
a senior member of IEEE, senior member of the ACM,
member of AAAI and the Upsilon Pi
Epsilon honorary society.
Selected recent publications and projects:
- Robotics: deep reinforcement learning, deep
learning from demonstration, vision-based end-to-end learning
-
T. Samman, A. Dutta, O. P. Kreidl, S. Roy and L. Bölöni.
Secure multi-robot information sampling with periodic and opportunistic connectivity. In Proc. of IEEE International Conference on Robotics and Automation (ICRA-2022), Apr 2022.
bibtex
-
P. Abolghasemi and L.
Bölöni. Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies
for Manipulation in Clutter. In Proc. of International Conference on Robotics and Automation
(ICRA-2020) pp.
6506-6512, May 2020.
Details BibTeX Download
Video
-
P. Abolghasemi, A. Mazaheri, M. Shah, and L.
Bölöni. Pay attention!-Robustifying a Deep Visuomotor Policy through Task-Focused Attention.
Proc. of Conference on Computer Vision and Pattern Recognition (CVPR-2019), pp. 4254-4262, 2019.
Download Video
- R. Rahmatizadeh, P.
Abolghasemi, L. Bölöni, and S.
Levine. Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from
Demonstration. In Proc. of International Conference on Robotics and Automation (ICRA-2018), May
2018. Download Video
- R. Rahmatizadeh, P.
Abolghasemi, A. Behal, and L.
Bölöni. Learning real manipulation tasks from virtual demonstrations using LSTM and MDN. In Proc.
of Thirty-Second
AAAI Conf. on Artificial Intelligence (AAAI-2018), February 2018.
Download
Video
- Artificial intelligence: deep learning, computer
vision, autonomous agents, human-agent-robot teamwork
- H. Sheikh, M. Phielipp, and L. Bölöni.
Maximizing ensemble diversity in deep reinforcement learning. Proc. of International Conference on Learning Representations (ICLR-2022), April 2022.
New!
-
S. Khodadadeh, S. Ghadar, S. Motiian, W-A. Lin, L. Bölöni and R. Kalarot.
Latent to latent: a learned mapper for identity preserving editing of multiple face attributes in StyleGAN-generated images. Proc. WACV-2022, January 2022.
New!
- S. Khodadadeh, S. Zehtabian,
S. Vahidian, W. Wang, B. Lin, and L. Bölöni . Unsupervised
Meta-Learning through Latent-Space Interpolation in Generative Models. Proc. of
International Conference
on Learning Representations (ICLR-2021), July 2021.
Details BibTeX
- S. Khodadadeh, Saeid Motiian, Zhe Lin, L.
Bölöni, and S. Ghadar. Automatic Object Recoloring Using Adversarial Learning. Proc. of IEEE
Workshop on Applications of Computer Vision (WACV-2021), January 2021.
Details BibTeX
-
S. Khodadadeh, L. Bölöni, and M. Shah. Unsupervised
Meta-Learning
For Few-Shot Image Classification. Thirty-third Conference on Neural Information Processing Systems
(NeurIPS-2019), pp. 10132-10142, December 2019.
Details BibTeX Download
- L.J. Luotsinen and L.
Bölöni. Role-Based Teamwork Activity Recognition in Observations of Embodied Agent Actions. In
The Seventh
Intl. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS 08), pp. 567–574, 2008.
Download
- Team
activity recognition (NSF, ARL funded)
- Social behavior modeling: Modeling social and
cultural behavior
- L. Bölöni, T.
S. Bhatia, S. A. Khan, J. Streater, and S. M. Fiore. Towards a computational model of
social norms. PLOS ONE, 13(4):e0195331, 2018.
Download
- T.S. Bhatia, S.A.
Khan, and L. Bölöni. Towards an operational
model for the propagation of public perception in multi-agent simulation. In 13th International
Workshop on
Multi-Agent Based Simulation
(MABS-2012), pp. 1–12, June 2012.
Download
- Networking and distributed systems: sensor
networks, cloud computing, scheduling
- S. Zehtabian, S. Khodadadeh,
L. Bölöni, and D.
Turgut. Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. Proc. of IEEE International
Conference on Computer Communications (INFOCOM-21), July 2021.
Details BibTeX Download New!
- P. Gjanci, C. Petrioli, S. Basagni, C.A.
Phillips, L. Bölöni, and D.
Turgut. Path Finding for Maximum the Value of Sensed Information in Multi-modal Underwater Wireless
Sensor Networks. IEEE
Transactions on Mobile Computing, 17:404–418, February 2018. Download
- D. Turgut and L.
Bölöni. IVE: improving the value of information in energy-constrained intruder tracking sensor
networks. In
IEEE Int. Conf. on Comunications (ICC-2013), pp. 6360–6364, 2013. Best Paper Award
Download
- Artificial General Intelligence: narrative
reasoning
- L. Bölöni. Integrating perception,
narrative, premonition and confabulatory continuation. Biologically Inspired Cognitive
Architectures,
8:118–129, April 2014.
Download
- L. Bölöni. Autobiography based
prediction in a situated AGI agent. In Seventh Conf. of Artificial General Intelligence (AGI-2014),
pp. 11–21,
August 2014. Kurzweil
Best AGI Idea Prize 2014
Download
- Xapagy
cognitive architecture - a system for narrative reasoning
My calendar / resume / name pronounciation / Google
Scholar profile
|
|