ConferenceIEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI)
Members
Efficient multi-exit semantic segmentation via knowledge distillation and prediction recycling Joint Split Computing and Early Exiting for Adaptive Transformer Inference in Vehicular Edge Environments Split computing in autonomous mobility for efficient semantic segmentation using transformers
Ing. Chris Uličný
Chris Uličný received his BSc and MSc degrees in Informatics from the Technical University of Košice in 2023 and 2025, respectively. He is currently pursuing his PhD at the same institution under the supervision of Prof. Ing. Juraj Gazda, PhD.
His research explores deep learning methods for computer vision, focusing on dynamic execution with early exiting and split computing, transformer-based architectures, and RAG systems.
Research interests
- Computer Vision
- Split Computing and Early Exiting
- Autonomous Mobility
- Transformers
- LLMs / VLMs
Publications
3 publications · 2025–2026
2026
2ConferenceSCYR 2026
2025
1Conference2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability.