Publications

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2022
R. Delussu, Putzu, L., and Fumera, G., On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models, in Proceedings - International Conference on Pattern Recognition, 2022, vol. 2022-August, pp. 1208 – 1214.
E. Ledda, Putzu, L., Delussu, R., Fumera, G., and Roli, F., On the Evaluation of Video-Based Crowd Counting Models, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13233 LNCS. pp. 301 – 311, 2022.
R. Delussu, Putzu, L., and Fumera, G., Scene-specific Crowd Counting Using Synthetic Training Images, Pattern Recognition, vol. 124, 2022. (3.14 MB)
2021
E. Ledda, Putzu, L., Delussu, R., Loddo, A., and Fumera, G., How Realistic Should Synthetic Images Be for Training Crowd Counting Models?, in Computer Analysis of Images and Patterns, Cham, 2021, pp. 46–56.
2020
R. Delussu, Putzu, L., and Fumera, G., An Empirical Evaluation of Cross-scene Crowd Counting Performance, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, Valletta - Malta, 2020, vol. 4, pp. 373-380. (527.29 KB)
R. Delussu, Putzu, L., and Fumera, G., Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta - Malta, 2020, vol. 4, pp. 365-372. (4.23 MB)
R. Delussu, Putzu, L., Fumera, G., and Roli, F., Online Domain Adaptation for Person Re-Identification with a Human in the Loop, in 25th International Conference on Pattern Recognition, {ICPR} 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 2020, pp. 3829–3836. (770.02 KB)