Folk dance evaluation using laban movement analysis A Aristidou, E Stavrakis, P Charalambous, Y Chrysanthou, SL Himona Journal on Computing and Cultural Heritage (JOCCH) 8 (4), 1-19, 2015 | 128 | 2015 |
Emotion analysis and classification: understanding the performers' emotions using the LMA entities A Aristidou, P Charalambous, Y Chrysanthou Computer Graphics Forum 34 (6), 262-276, 2015 | 87 | 2015 |
The pag crowd: A graph based approach for efficient data‐driven crowd simulation P Charalambous, Y Chrysanthou Computer Graphics Forum 33 (8), 95-108, 2014 | 80 | 2014 |
A data‐driven framework for visual crowd analysis P Charalambous, I Karamouzas, SJ Guy, Y Chrysanthou Computer Graphics Forum 33 (7), 41-50, 2014 | 61 | 2014 |
Group modeling: A unified velocity‐based approach Z Ren, P Charalambous, J Bruneau, Q Peng, J Pettré Computer Graphics Forum 36 (8), 45-56, 2017 | 44 | 2017 |
Crowd art: density and flow based crowd motion design K Jordao, P Charalambous, M Christie, J Pettré, MP Cani Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 167-176, 2015 | 20 | 2015 |
CCP: Configurable crowd profiles A Panayiotou, T Kyriakou, M Lemonari, Y Chrysanthou, P Charalambous ACM SIGGRAPH 2022 conference proceedings, 1-10, 2022 | 17 | 2022 |
Authoring virtual crowds: A survey M Lemonari, R Blanco, P Charalambous, N Pelechano, M Avraamides, ... Computer Graphics Forum 41 (2), 677-701, 2022 | 11 | 2022 |
Optimization-based computation of locomotion trajectories for crowd patches JGR Ramirez, D Lange, P Charalambous, C Esteves, J Pettré Proceedings of the 7th International Conference on Motion in Games, 7-16, 2014 | 11 | 2014 |
Learning crowd steering behaviors from examples P Charalambous, Y Chrysanthou Motion in Games: Third International Conference, MIG 2010, Utrecht, The …, 2010 | 8 | 2010 |
Emotion recognition from 3D motion capture data using deep CNNs H Zacharatos, C Gatzoulis, P Charalambous, Y Chrysanthou 2021 IEEE Conference on Games (CoG), 1-5, 2021 | 7 | 2021 |
Virtual environments as a technological interface between built heritage and the sustainable development of the city G Artopoulos, P Charalambous Int. J. E-Plan. Res.(IJEPR) 8 (1), 2019 | 7 | 2019 |
GREIL-crowds: crowd simulation with deep reinforcement learning and examples P Charalambous, J Pettre, V Vassiliades, Y Chrysanthou, N Pelechano ACM Transactions on Graphics (TOG) 42 (4), 1-15, 2023 | 6 | 2023 |
Reconstruction of everyday life in 19th century nicosia P Charalambous, H Iliadou, C Apostolou, Y Chrysanthou Progress in Cultural Heritage Preservation: 4th International Conference …, 2012 | 5 | 2012 |
Towards outdoor collaborative mixed reality: Lessons learnt from a prototype system N Numan, Z Lu, B Congdon, D Giunchi, A Rotsidis, A Lernis, K Larmos, ... 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2023 | 4 | 2023 |
Digital twins for medieval monuments: Requirements from art historians and technical challenges for analysis and restoration I Munoz-Pandiella, C Bosch, M Guardia, B Cayuela, P Pogliani, G Bordi, ... 2022 International Conference on Interactive Media, Smart Systems and …, 2022 | 4 | 2022 |
Perceived realism of pedestrian crowds trajectories in vr D Giunchi, R Bovo, P Charalambous, F Liarokapis, A Shipman, S James, ... Proceedings of the 27th ACM Symposium on Virtual Reality Software and …, 2021 | 4 | 2021 |
Immersive computing and crowd simulation techniques in modelling urban commons: The case of Nicosia-Cyprus G Artopoulos, P Charalambous, CE Wehmeier International Journal of E-Planning Research (IJEPR) 8 (1), 35-49, 2019 | 4 | 2019 |
Curriculum based reinforcement learning for traffic simulations S Makri, P Charalambous Computers & Graphics 113, 32-42, 2023 | 3 | 2023 |
Towards a multi-agent non-player character road network: a Reinforcement Learning approach S Makri, P Charalambous 2021 IEEE Conference on Games (CoG), 1-5, 2021 | 3 | 2021 |