Publications

E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, "AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization", IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 8, pp. 3278-3292, Aug. 2021. DOI:10.1109/TCSVT.2020.3037883. Software available at https://github.com/e-apostolidis/AC-SUM-GAN.  

E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, "Video Summarization Using Deep Neural Networks: A Survey", arXiv:2101.06072, https://arxiv.org/abs/2101.06072.

E. Apostolidis, E. Adamantidou, V. Mezaris, I. Patras, "Combining Adversarial and Reinforcement Learning for Video Thumbnail Selection", ACM Int. Conf. on Multimedia Retrieval (ICMR), Taipei, Taiwan, Nov. 2021. DOI:10.1145/3460426.3463630. Software available at https://github.com/e-apostolidis/Video-Thumbnail-Selector.  

D. Galanopoulos, V. Mezaris, "Hard-negatives or Non-negatives? A hard-negative selection strategy for cross-modal retrieval using the improved marginal ranking loss", Proc. 2nd Int. Workshop on Video Retrieval Methods and Their Limits (ViRaL) @ Int. Conf. on Computer Vision (ICCV), Oct. 2021.

K. Apostolidis, V. Mezaris, "A Fast Smart-Cropping Method and Dataset for Video Retargeting", Proc. 28th IEEE Int. Conf. on Image Processing (ICIP), Anchorage, Alaska, US, Sept. 2021. DOI:10.1109/ICIP42928.2021.9506390. Software and dataset available at https://github.com/bmezaris/RetargetVid  

D. Galanopoulos, E. Elejalde, A. Pournaras, C. Niederée, V. Mezaris, "Automatic and Semi-automatic Augmentation of Migration Related Semantic Concepts for Visual Media Retrieval", Proc. Workshop on Open Challenges in Online Social Networks (OASIS) @ the 32nd ACM Conference on Hypertext and Social Media (ACM HT'21), Dublin, Ireland, Aug.-Sept. 2021.

N. Gkalelis, A. Goulas, D. Galanopoulos, V. Mezaris, "ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-up Recognition and Explanation of Events in Video", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2nd Int. Workshop on Large Scale Holistic Video Understanding (HVU), pp. 3375-3383, June 2021. Software available at https://github.com/bmezaris/ObjectGraphs.  

L. Nixon, K. Apostolidis, E. Apostolidis, D. Galanopoulos, V. Mezaris, B. Philipp, R. Bocyte, "Content Wizard: demo of a trans-vector digital video publication tool", Proc. ACM Int. Conf. on Interactive Media Experiences (IMX), June 2021. DOI:10.1145/3452918.3468083.  

F. Tsalakanidou, S. Papadopoulos, V. Mezaris, I. Kompatsiaris, B. Gray, D. Tsabouraki, M. Kalogerini, F. Negro, M. Montagnuolo, J. de Vos, P. van Kemenade, D. Gravina, R. Mignot, A. Ozerov, F. Schnitzler, A. Garcia-Saez, G. Yannakakis, A. Liapis, G. Kostadinov, "The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications", Proc. 17th Artificial Intelligence Applications and Innovations Conference (AIAI), Crete, Greece, June 2021.

S. Andreadis, A. Moumtzidou, K. Gkountakos, N. Pantelidis, K. Apostolidis, D. Galanopoulos, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "VERGE in VBS 2021", Proc. 27th Int. Conf. on Multimedia Modeling (MMM2021), Prague, CZ, Springer LNCS vol. 12573, pp. 398–404, June 2021. DOI:10.1007/978-3-030-67835-7_35.  

A. Apaolaza, T. Backes, S. Barthold, I. Bienia, T. Blume, C. Collyda, A. Fessl, S. Gottfried, P. Grunewald, F. Günther, T. Köhler, R. Lorenz, M. Heinz, S. Herbst, V. Mezaris, C. Nishioka, A. Pournaras, V. Sabol, A. Saleh, A. Scherp, I. Simic, A. Skulimowski, I. Vagliano, M. Vigo, M. Wiese, T. Zdolsek Draksler, "MOVING: A User-Centric Platform for Online Literacy Training and Learning", in "e-Science: Open, Social and Virtual Technology for Research Collaboration", C. Koschtial, T. Köhler, C. Felden (Eds.), Spinger series "Progress in IS", pp. 77-97, 2021. DOI:10.1007/978-3-030-66262-2_6.

N. Gkalelis, V. Mezaris, "Structured Pruning of LSTMs via Eigenanalysis and Geometric Median for Mobile Multimedia and Deep Learning Applications", Proc. 22nd IEEE Int. Symposium on Multimedia (ISM), Dec. 2020. DOI:10.1109/ISM.2020.00028. Software available at https://github.com/bmezaris/lstm_structured_pruning_geometric_median.    [slides]

K. Gkountakos, D. Galanopoulos, M. Mpakratsas, D. Touska, A. Moumtzidou, K. Ioannidis, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “ITI-CERTH participation in TRECVID 2020”, Proc. TRECVID 2020 Workshop, Gaithersburg, MD, USA, Dec. 2020.  

E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, "Performance over Random: A robust evaluation protocol for video summarization methods", Proc. ACM Multimedia 2020 (ACM MM), Seattle, WA, USA, Oct. 2020. DOI:10.1145/3394171.3413632. Software available at https://github.com/e-apostolidis/PoR-Summarization-Measure.    [slides]

M. Zwicklbauer, W. Lamm, M. Gordon, K. Apostolidis, B. Philipp, V. Mezaris, "Video Analysis for Interactive Story Creation: The Sandmännchen Showcase", Proc. AI4TV workshop at ACM Multimedia 2020 (ACM MM), Seattle, WA, USA, Oct. 2020. DOI:10.1145/3422839.3423061.  

R. Troncy, J. Laaksonen, H. Tavakoli, L. Nixon, V. Mezaris, M. Hosseini, "AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery", Proc. ACM Multimedia 2020 (ACM MM), Seattle, WA, USA, Oct. 2020. DOI:10.1145/3394171.3421894.  

E. Elejalde, D. Galanopoulos, C. Niederee, V. Mezaris, "Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content", Proc. Int. Workshop on Artificial Intelligence and Robotics for Law Enforcement Agencies (AIRLEAs) at the 3rd Int. Conf. on Intelligent Technologies and Applications (INTAP 2020), Gjovik, Norway, Springer CCIS, vol. 1382, pp. 404-416, Sept. 2020. DOI:10.1007/978-3-030-71711-7_34.    [slides]

D. Galanopoulos, V. Mezaris, "Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks", Proc. ACM Int. Conf. on Multimedia Retrieval (ICMR 2020), Dublin, Ireland, 2020. DOI:10.1145/3372278.3390737. Software available at https://github.com/bmezaris/AVS_dual_encoding_attention_network.  

N. Gkalelis, V. Mezaris, "Fractional Step Discriminant Pruning: A Filter Pruning Framework for Deep Convolutional Neural Networks", Proc. 7th IEEE Int. Workshop on Mobile Multimedia Computing (MMC2020) at the IEEE Int. Conf. on Multimedia and Expo (ICME), London, UK, July 2020. DOI:10.1109/ICMEW46912.2020.9105979. Software available at https://github.com/bmezaris/fractional_step_discriminant_pruning_dcnn.    [slides]

For a complete list of Dr. Mezaris group's publications, see https://www.iti.gr/~bmezaris/publications.html