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2020 – today
- 2024
[i6]Aniello Panariello
, Gianluca Mancusi, Fedy Haj Ali, Angelo Porrello, Simone Calderara, Rita Cucchiara:
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation. CoRR abs/2401.03191 (2024)- [i5]Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara:
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning. CoRR abs/2407.01397 (2024) - [i4]Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. CoRR abs/2407.15793 (2024) - [i3]Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara:
Is Multiple Object Tracking a Matter of Specialization? CoRR abs/2411.00553 (2024) - 2023
- [c2]Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara:
TrackFlow: Multi-Object Tracking with Normalizing Flows. ICCV 2023: 9497-9509 - [i2]Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara:
TrackFlow: Multi-Object Tracking with Normalizing Flows. CoRR abs/2308.11513 (2023) - 2022
- [c1]Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. ECCV Workshops (5) 2022: 338-349 - [i1]Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-based Self-supervised Learning for Temporal Anomaly Localization. CoRR abs/2208.05251 (2022)
Coauthor Index
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