MEJRI, N., PAPADOPOULOS, K., & AOUADA, D. (2021). Leveraging High-Frequency Components for Deepfake Detection. IEEE Workshop on Multimedia Signal Processing. doi:10.1109/MMSP53017.2021.9733606 Peer reviewed |
PAPADOPOULOS, K., GHORBEL, E., AOUADA, D., & OTTERSTEN, B. (2021). Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition. In International Conference on Pattern Recognition, Milan 10-15 January 2021. doi:10.1109/ICPR48806.2021.9413189 Peer reviewed |
SAINT, A. F. A., KACEM, A., CHERENKOVA, K., PAPADOPOULOS, K., Chibane, J., Pons-Moll, G., Gusev, G., Foffi, D., AOUADA, D., & OTTERSTEN, B. (23 August 2020). SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results [Paper presentation]. SHARP workshop, ECCV 2020. |
PAPADOPOULOS, K. (2020). From Dense 2D to Sparse 3D Trajectories for Human Action Detection and Recognition [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/43167 |
PAPADOPOULOS, K., GHORBEL, E., OYEDOTUN, O., AOUADA, D., & OTTERSTEN, B. (2020). DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera. In IEEE International Conference on Automatic Face and Gesture Recognition, Buenos Aires 18-22 May 2020. Peer reviewed |
BAPTISTA, R., GHORBEL, E., PAPADOPOULOS, K., Demisse, G., AOUADA, D., & OTTERSTEN, B. (2019). VIEW-INVARIANT ACTION RECOGNITION FROM RGB DATA VIA 3D POSE ESTIMATION. In IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, UK, 12–17 May 2019. Peer reviewed |
GHORBEL, E., PAPADOPOULOS, K., BAPTISTA, R., Pathak, H., Demisse, G., AOUADA, D., & OTTERSTEN, B. (2019). A View-invariant Framework for Fast Skeleton-based Action Recognition Using a Single RGB Camera. In 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Prague, 25-27 February 2018. Peer reviewed |
PAPADOPOULOS, K., GHORBEL, E., BAPTISTA, R., AOUADA, D., & OTTERSTEN, B. (2019). Two-stage RGB-based Action Detection using Augmented 3D Poses. In 18th International Conference on Computer Analysis of Images and Patterns SALERNO, 3-5 SEPTEMBER, 2019. Peer reviewed |
PAPADOPOULOS, K., DEMISSE, G., GHORBEL, E., Antunes, M., AOUADA, D., & OTTERSTEN, B. (2019). Localized Trajectories for 2D and 3D Action Recognition. Sensors. doi:10.3390/s19163503 Peer Reviewed verified by ORBi |
DEMISSE, G., PAPADOPOULOS, K., AOUADA, D., & OTTERSTEN, B. (2018). Pose Encoding for Robust Skeleton-Based Action Recognition. In CVPRW: Visual Understanding of Humans in Crowd Scene, Salt Lake City, Utah, June 18-22, 2018. Peer reviewed |
PAPADOPOULOS, K., Antunes, M., AOUADA, D., & OTTERSTEN, B. (2018). A Revisit of Action Detection using Improved Trajectories. In IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, 15–20 April 2018. Peer reviewed |
PAPADOPOULOS, K., GONCALVES ALMEIDA ANTUNES, M., AOUADA, D., & OTTERSTEN, B. (2017). Enhanced Trajectory-based Action Recognition using Human Pose. In IEEE International Conference on Image Processing, Beijing 17-20 Spetember 2017. Peer reviewed |
SHABAYEK, A. E. R., BAPTISTA, R., PAPADOPOULOS, K., Demisse, G., OYEDOTUN, O., Antunes, M., AOUADA, D., OTTERSTEN, B., Anastassova, M., Boukallel, M., Panëels, S., Randall, G., André, M., Douchet, A., Bouilland, S., & Ortiz Fernandez, L. (2017). STARR - Decision SupporT and self-mAnagement system for stRoke survivoRs Vision based Rehabilitation System. In European Project Space on Networks, Systems and Technologies (pp. 69-80). SciTePress. doi:10.5220/0007902400690080 |