Publications
We are pleased to share that AImageLab participated in the 27th International Conference on Pattern Recognition (ICPR 2024), held from December 1st to December 5th in Kolkata, presenting the following papers:
- Investigating the ABCDE Rule in Convolutional Neural Networks [paper], by Federico Bolelli, Luca Lumetti, Kevin Marchesini, Ettore Candeloro, Costantino Grana
- Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes [paper] [code], by Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara
- Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs [paper] [code], by Luca Lumetti, Vittorio Pipoli, Federico Bolelli, Elisa Ficarra, Costantino Grana
- BarBeR: A Barcode Benchmarking Repository [paper] [code], by Enrico Vezzali, Federico Bolelli, Stefano Santi, Costantino Grana
- Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning [paper] [code], by Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara
- Adapt to Scarcity: Few-Shot Deepfake Detection via Low-Rank Adaptation [paper], by Silvia Cappelletti, Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Rita Cucchiara
- Unlearning Vision Transformers without Retaining Data via Low-Rank Decompositions [paper], by Samuele Poppi, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
- Identifying Impurities in Liquids of Pharmaceutical Vials [paper], by Gabriele Rosati, Kevin Marchesini, Luca Lumetti, Federica Sartori, Beatrice Balboni, Filippo Begarani, Luca Vescovi, Federico Bolelli, Costantino Grana
AImageLab also co-organized RRPR 2024: Fifth Workshop on Reproducible Research in Pattern Recognition, providing a platform for open discussions on reproducibility challenges, sharing best practices, and fostering collaborative efforts to ensure robust and transparent research methodologies in the research community.