Otniel-Bogdan Mercea
PhD Researcher


Otniel is a Ph.D. candidate at the International Max-Planck Research School for Intelligent Systems (IMPRS-IS) under the supervision of Prof. Zeynep Akata and Prof. Andreas Geiger. He received his bachelor's degree in Computers and Information Technology at Politehnica University of Timisoara in 2019 and his master's degree in Artificial Intelligence at the University of Edinburgh in 2020.

His primary research interests lie at the intersection of explainability and interpretability, efficient learning and computer vision in the context of autonomous driving.


  • "PlanT: Explainable Planning Transformers via Object-Level Representations", Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger, CoRL 2022
  • "Temporal and cross-modal attention for audio-visual zero-shot learning", Otniel-Bogdan Mercea *, Thomas Hummel *, A. Sophia Koepke, Zeynep Akata, European Conference on Computer Vision, ECCV 2022
  • "Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language", Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2022