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ORCIDSimone Calderara
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- affiliation: Università degli Studi di Modena e Reggio Emilia, Modena, Italy
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2020 – today
- 2024
[j31]Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini
, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
Latent spectral regularization for continual learning. Pattern Recognit. Lett. 184: 119-125 (2024)- [j30]Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. IEEE Trans. Medical Imaging 43(4): 1412-1421 (2024) - [c84]Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. WACV 2024: 4858-4867 - [i59]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) - [i58]Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico:
Self-Labeling the Job Shop Scheduling Problem. CoRR abs/2401.11849 (2024) - [i57]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Semantic Residual Prompts for Continual Learning. CoRR abs/2403.06870 (2024) - [i56]Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato:
Selective Attention-based Modulation for Continual Learning. CoRR abs/2403.20086 (2024) - [i55]Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara:
A Second-Order perspective on Compositionality and Incremental Learning. CoRR abs/2405.16350 (2024) - [i54]Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara:
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes. CoRR abs/2405.20743 (2024) - [i53]Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara:
Reducing Bias in Federated Class-Incremental Learning with Hierarchical Generative Prototypes. CoRR abs/2406.02447 (2024) - [i52]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) - [i51]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. CoRR abs/2407.14249 (2024) - [i50]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) - [i49]Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara:
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. CoRR abs/2408.14284 (2024) - [i48]Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara:
Closed-form merging of parameter-efficient modules for Federated Continual Learning. CoRR abs/2410.17961 (2024) - 2023
- [j29]Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5497-5512 (2023) - [j28]Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara:
Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c83]Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara:
TrackFlow: Multi-Object Tracking with Normalizing Flows. ICCV 2023: 9497-9509 - [c82]Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. ICIAP (2) 2023: 1-12 - [c81]Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. ICML 2023: 23915-23936 - [c80]Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Input Perturbation Reduces Exposure Bias in Diffusion Models. ICML 2023: 26245-26265 - [c79]Rita Cucchiara, Lorenzo Baraldi, Simone Calderara, Marcella Cornia, Matteo Fabbri, Costantino Grana, Angelo Porrello, Roberto Vezzani:
Where Research meets Industry: New Challenges and Opportunities at AImageLab. Ital-IA 2023: 7-12 - [c78]Monica Millunzi, Lorenzo Bonicelli, Alberto Zurli, Alessio Salman, Jacopo Credi, Simone Calderara:
Novel continual learning techniques on noisy label datasets. Ital-IA 2023: 517-521 - [c77]Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) 2023: 248-258 - [i47]Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
CaSpeR: Latent Spectral Regularization for Continual Learning. CoRR abs/2301.03345 (2023) - [i46]Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Input Perturbation Reduces Exposure Bias in Diffusion Models. CoRR abs/2301.11706 (2023) - [i45]Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. CoRR abs/2302.01242 (2023) - [i44]Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. CoRR abs/2305.03648 (2023) - [i43]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
- [j27]Andrea Corsini, Simone Calderara, Mauro Dell'Amico:
Learning the Quality of Machine Permutations in Job Shop Scheduling. IEEE Access 10: 99541-99552 (2022) - [j26]Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
Warp and Learn: Novel Views Generation for Vehicles and Other Objects. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2216-2227 (2022) - [j25]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Continual semi-supervised learning through contrastive interpolation consistency. Pattern Recognit. Lett. 162: 9-14 (2022) - [c76]Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan:
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CVPR Workshops 2022: 2517-2526 - [c75]Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CVPR 2022: 6543-6552 - [c74]Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. ECCV Workshops (5) 2022: 338-349 - [c73]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer Without Forgetting. ECCV (23) 2022: 692-709 - [c72]Mang Ning, Xiaoliang Ma, Yao Lu, Simone Calderara, Rita Cucchiara:
SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. ICIAP (3) 2022: 278-289 - [c71]Gianluca Mancusi, Matteo Fabbri, Sara Egidi, Mattia Verasani, Paolo Scarabelli, Simone Calderara, Rita Cucchiara:
First Steps Towards 3D Pedestrian Detection and Tracking from Single Image. ICIAP (2) 2022: 335-346 - [c70]Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini:
Catastrophic Forgetting in Continual Concept Bottleneck Models. ICIAP Workshops 2022: 539-547 - [c69]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara:
Effects of Auxiliary Knowledge on Continual Learning. ICPR 2022: 1357-1363 - [c68]Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-examples for Continual Learning in the Wild. LOD (1) 2022: 414-429 - [c67]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. NeurIPS 2022 - [i42]Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning into the eXtended DER-verse. CoRR abs/2201.00766 (2022) - [i41]Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CoRR abs/2203.04781 (2022) - [i40]Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan:
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CoRR abs/2204.11561 (2022) - [i39]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer without Forgetting. CoRR abs/2206.00388 (2022) - [i38]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato:
Effects of Auxiliary Knowledge on Continual Learning. CoRR abs/2206.02577 (2022) - [i37]Andrea Corsini, Simone Calderara, Mauro Dell'Amico:
Learning the Quality of Machine Permutations in Job Shop Scheduling. CoRR abs/2207.03244 (2022) - [i36]Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-based Self-supervised Learning for Temporal Anomaly Localization. CoRR abs/2208.05251 (2022) - [i35]Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara:
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. CoRR abs/2209.05251 (2022) - [i34]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. CoRR abs/2210.06443 (2022) - 2021
- [j24]Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara:
Video action detection by learning graph-based spatio-temporal interactions. Comput. Vis. Image Underst. 206: 103187 (2021) - [j23]Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. Comput. Vis. Image Underst. 210: 103245 (2021) - [c66]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c65]Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? ICCV 2021: 10829-10839 - [c64]Luca Bergamini, Stefano Pini, Alessandro Simoni, Roberto Vezzani, Simone Calderara, Rick B. D'Eath, Robert B. Fisher:
Extracting Accurate Long-term Behavior Changes from a Large Pig Dataset. VISIGRAPP (5: VISAPP) 2021: 524-533 - [i33]Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-Examples for Continual Learning in the Wild. CoRR abs/2101.12081 (2021) - [i32]Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara:
RMS-Net: Regression and Masking for Soccer Event Spotting. CoRR abs/2102.07624 (2021) - [i31]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i30]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Weakly Supervised Continual Learning. CoRR abs/2108.06552 (2021) - [i29]Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? CoRR abs/2108.09518 (2021) - 2020
- [j22]Luca Bergamini, Mario Sposato, Marcello Pellicciari, Margherita Peruzzini, Simone Calderara, Juliana Schmidt:
Deep learning-based method for vision-guided robotic grasping of unknown objects. Adv. Eng. Informatics 44: 101052 (2020) - [j21]Guido Borghi, Matteo Fabbri, Roberto Vezzani, Simone Calderara, Rita Cucchiara:
Face-from-Depth for Head Pose Estimation on Depth Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 596-609 (2020) - [j20]Luca Candeloro, Carla Ippoliti, Federica Iapaolo, Federica Monaco, Daniela Morelli, Roberto Cuccu, Pietro Fronte, Simone Calderara, Stefano Vincenzi, Angelo Porrello, Nicola D'Alterio, Paolo Calistri, Annamaria Conte:
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. Remote. Sens. 12(18): 3064 (2020) - [c63]Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. CVPR 2020: 3930-3939 - [c62]Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara:
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. CVPR 2020: 7202-7211 - [c61]Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. ECCV (10) 2020: 93-110 - [c60]Riccardo Gasparini, Stefano Pini, Guido Borghi, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara:
Anomaly Detection for Vision-Based Railway Inspection. EDCC Workshops 2020: 56-67 - [c59]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara:
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. ICPR 2020: 2180-2187 - [c58]Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara:
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. ICPR 2020: 2551-2558 - [c57]Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara:
The color out of space: learning self-supervised representations for Earth Observation imagery. ICPR 2020: 3034-3041 - [c56]Riccardo Gasparini, Andrea D'Eusanio, Guido Borghi, Stefano Pini, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara:
Anomaly Detection, Localization and Classification for Railway Inspection. ICPR 2020: 3419-3426 - [c55]Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Future Urban Scenes Generation Through Vehicles Synthesis. ICPR 2020: 4552-4559 - [c54]Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara:
RMS-Net: Regression and Masking for Soccer Event Spotting. ICPR 2020: 7699-7706 - [c53]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. NeurIPS 2020 - [i28]Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. CoRR abs/2004.00070 (2020) - [i27]Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara:
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. CoRR abs/2004.00329 (2020) - [i26]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR abs/2004.07211 (2020) - [i25]Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction. CoRR abs/2005.08307 (2020) - [i24]Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara:
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. CoRR abs/2005.12661 (2020) - [i23]Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara:
The color out of space: learning self-supervised representations for Earth Observation imagery. CoRR abs/2006.12119 (2020) - [i22]Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Future Urban Scenes Generation Through Vehicles Synthesis. CoRR abs/2007.00323 (2020) - [i21]Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. CoRR abs/2007.04174 (2020) - [i20]Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini, Simone Calderara, Lorenzo Baraldi, Rita Cucchiara:
Inter-Homines: Distance-Based Risk Estimation for Human Safety. CoRR abs/2007.10243 (2020) - [i19]Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Few-Shot Unsupervised Continual Learning through Meta-Examples. CoRR abs/2009.08107 (2020) - [i18]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara:
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. CoRR abs/2010.05595 (2020)
2010 – 2019
- 2019
- [j19]Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara:
Can adversarial networks hallucinate occluded people with a plausible aspect? Comput. Vis. Image Underst. 182: 71-80 (2019) - [j18]Andrea Palazzi, Davide Abati, Simone Calderara, Francesco Solera, Rita Cucchiara:
Predicting the Driver's Focus of Attention: The DR(eye)VE Project. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1720-1733 (2019) - [j17]Stefano Alletto, Davide Abati, Simone Calderara, Rita Cucchiara, Luca Rigazio:
Self-Supervised Optical Flow Estimation by Projective Bootstrap. IEEE Trans. Intell. Transp. Syst. 20(9): 3294-3302 (2019) - [c52]Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. AISTATS 2019: 1388-1397 - [c51]Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara:
A Deep-learning-based approach to VM behavior Identification in Cloud Systems. CLOSER 2019: 308-315 - [c50]Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Latent Space Autoregression for Novelty Detection. CVPR 2019: 481-490 - [c49]Luca Bergamini, Abigail Rose Trachtman, Andrea Palazzi, Ercole Del Negro, Andrea Capobianco Dondona, Giuseppe Marruchella, Simone Calderara:
Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs. ICIAP Workshops 2019: 352-360 - [c48]Angelo Porrello, Stefano Vincenzi, Pietro Buzzega, Simone Calderara, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona:
Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs. SITIS 2019: 159-166 - [i17]Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara:
Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? CoRR abs/1901.08097 (2019) - [i16]Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara:
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. CoRR abs/1901.08101 (2019) - [i15]Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. CoRR abs/1902.04850 (2019) - [i14]Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara:
Multi-views Embedding for Cattle Re-identification. CoRR abs/1902.04886 (2019) - [i13]Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara:
A Deep Learning based approach to VM behavior identification in cloud systems. CoRR abs/1903.01930 (2019) - [i12]Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
Semi-parametric Object Synthesis. CoRR abs/1907.10634 (2019) - [i11]Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona, Simone Calderara:
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs. CoRR abs/1911.10024 (2019) - [i10]Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara:
STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection. CoRR abs/1912.04316 (2019) - 2018
- [j16]Marcella Cornia, Davide Abati, Lorenzo Baraldi, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Attentive models in vision: Computing saliency maps in the deep learning era. Intelligenza Artificiale 12(2): 161-175 (2018) - [c47]Pedro A. Marín-Reyes, Andrea Palazzi, Luca Bergamini, Simone Calderara, Javier Lorenzo-Navarro, Rita Cucchiara:
Unsupervised Vehicle Re-Identification Using Triplet Networks. CVPR Workshops 2018: 166-171 - [c46]Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, Rita Cucchiara:
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World. ECCV (4) 2018: 450-466 - [c45]Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization. ECCV Workshops (3) 2018: 702-715 - [c44]Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara:
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. ICPR 2018: 1355-1360 - [c43]Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara:
Multi-views Embedding for Cattle Re-identification. SITIS 2018: 184-191 - [i9]Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, Rita Cucchiara:
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World. CoRR abs/1803.08319 (2018) - [i8]Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
AND: Autoregressive Novelty Detectors. CoRR abs/1807.01653 (2018) - 2017
- [j15]