Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. - Aniello Panariello; Angelo Porrello; Simone Calderara; Rita Cucchiara (ECCV Workshops (5), 2022)

TrackFlow: Multi-Object Tracking with Normalizing Flows. - Gianluca Mancusi; Aniello Panariello; Angelo Porrello; Matteo Fabbri; Simone Calderara; Rita Cucchiara (ICCV, 2023)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. - Emanuele Frascaroli; Aniello Panariello; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (BMVC, 2024)

Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning. - Matteo Mosconi; Andriy Sorokin; Aniello Panariello; Angelo Porrello; Jacopo Bonato; Marco Cotogni; Luigi Sabetta; Simone Calderara; Rita Cucchiara (ICPR (9), 2024)

Is Multiple Object Tracking a Matter of Specialization? - Gianluca Mancusi; Mattia Bernardi; Aniello Panariello; Angelo Porrello; Rita Cucchiara; Simone Calderara (NeurIPS, 2024)

DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation. - Aniello Panariello; Gianluca Mancusi; Fedy Haj Ali; Angelo Porrello; Simone Calderara; Rita Cucchiara (CoRR, 2024)

Monocular per-object distance estimation with Masked Object Modeling. - Aniello Panariello; Gianluca Mancusi; Fedy Haj Ali; Angelo Porrello; Simone Calderara; Rita Cucchiara (Comput. Vis. Image Underst., 2025)