András Lőrincz founded and has been leading the Neural Information Processing Group, presently having 15 people working on different topics, including a mobile tool for (a) detecting Skin Cancer with Degetel France, (b) an intelligent user interface for collaborating with people from the industry with Robert Bosch, Ltd., (c) diagnosis and therapy for autistic children and PTSD patients with Rush Medical School, Chicago, and Argus Cognitive, Inc., USA, (d) facial expression and speech analysis with the Robotic Institute of the Carnegie Mellon University, among others. He is the elected Fellow of the European Association for Artificial Intelligence, one of the two fellows in Hungary. He has over 300 publications in international journals and conferences.
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing Milacski, Z., Póczos, B., and Lőrincz, A. (2020).
3D Human Pose Estimation with Siamese Equivariant Embedding. Véges, M., Varga, V., and Lőrincz, A.
Neurocomputing, 339, 194-201. 2019.
Overview of the CPS for Smart Factories Project: Deep Learning, Knowledge Acquisition, Anomaly Detection and Intelligent User Interfaces Sonntag, D., Zillner, S., van der Smagt, P. and Lőrincz, A., 2017.
Industrial Internet of Things (pp. 487-504). Springer, Cham. Emotional Expression Classification using Time-Series Kernels Lőrincz, A., Jeni, L., Szabó, Z., Cohn, J. and Kanade, T., 2013.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 889-895).
Learning to Play using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man Szita, I. and Lőrincz, A., 2007.Journal of Artificial Intelligence Research, 30, pp.659-684.