Things I've published, mostly about Robotics and AI
  • Nguyen, T. V. T., Schmuck, V., & Celiktutan, O. (2023, October). Gesticulating with NAO: Real-time Context-Aware Co-Speech Gesture Generation for Human-Robot Interaction. In Companion Publication of the 25th International Conference on Multimodal Interaction (pp. 112-114).

  • Abbate, G., Giusti, A., Schmuck, V., Celiktutan, O., & Paolillo, A. (2024). Self-supervised prediction of the intention to interact with a service robot.

  • Schmuck, V., Tuyen, N. T. V., & Celiktutan, O. (2023, October). The KCL-SAIR team's entry to the GENEA Challenge 2023 Exploring Role-based Gesture Generation in Dyadic Interactions: Listener vs. Speaker. In Companion Publication of the 25th International Conference on Multimodal Interaction (pp. 214-219).

  • Schmuck, V. (2023). Socially-aware robot navigation by leveraging group detection (Doctoral dissertation, King's College London).

  • Schmuck, V., & Celiktutan, O. (2022). iGROWL: Improved Group Detection With Link Prediction. IEEE Transactions on Biometrics, Behavior, and Identity Science.

  • Schmuck, V., & Celiktutan, O. (2021, December). GROWL: group detection with link prediction. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (pp. 1-8). IEEE.

  • Schmuck, V., Sheng, T., & Celiktutan, O. (2020, August). Robocentric conversational group discovery. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1288-1293). IEEE.

  • Schmuck, V., & Celiktutan, O. (2020). Rica: Robocentric indoor crowd analysis dataset. IMU, 127(74,234), 31-172.

  • Ilyas, C. M. A., Schmuck, V., Haque, M. A., Nasrollahi, K., Rehm, M., & Moeslund, T. B. (2019, October). Teaching pepper robot to recognize emotions of traumatic brain injured patients using deep neural networks. In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1-7). IEEE.

  • Schmuck, V., & Meredith, D. (2020). OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms. In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II (pp. 509-516). Springer International Publishing.

  • Bartas, A. M., Dahl, C. S., Nedelev, G. P., Gustafsen, T., Korbutt, W. K., & Schmuck, V. (2019, July). The effect of biomechanical symmetry on presence and simulator sickness in a virtual reality application controlled by a VR bike. In Virtually Real: 7th eCAADe Regional International Symposium (pp. 75-79). Aalborg Universitetsforlag.

  • Schmuck, V., & Meredith, D. (2019, April). training networks separately on static and dynamic obstacles improves collision avoidance during indoor robot navigation. In ESANN.

  • Rehm, M., Christensen, B. C., Nielsen, T. B., Rolfsen, R. A., & Schmuck, V. (2018). Movement Patterns in Educational Games: Comparing A-Priori and Post-Hoc Analyses. In Citizen, Territory and Technologies: Smart Learning Contexts and Practices: Proceedings of the 2nd International Conference on Smart Learning Ecosystems and Regional Development-University of Aveiro, Portugal, 22-23, June 2017 2 (pp. 189-200). Springer International Publishing.