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2020 – today
- 2023
[j28]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)- [i46]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) - [i45]Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Input Perturbation Reduces Exposure Bias in Diffusion Models. CoRR abs/2301.11706 (2023) - [i44]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) - [i43]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) - 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 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 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]Francesco Solera, Simone Calderara, Ergys Ristani, Carlo Tomasi, Rita Cucchiara:
Tracking Social Groups Within and Across Cameras. IEEE Trans. Circuits Syst. Video Technol. 27(3): 441-453 (2017) - [c42]Marcella Cornia, Davide Abati, Lorenzo Baraldi, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era. AI*IA 2017: 387-399 - [c41]Matteo Fabbri, Simone Calderara, Rita Cucchiara:
Generative adversarial models for people attribute recognition in surveillance. AVSS 2017: 1-6 - [c40]Luca Bergamini, Simone Calderara, Nicola Bicocchi, Alberto Ferrari, Giorgio Matteo Vitetta:
Signal Processing and Machine Learning for Diplegia Classification. ICIAP Workshops 2017: 97-108 - [c39]Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara:
Learning to Map Vehicles into Bird's Eye View. ICIAP (1) 2017: 233-243 - [c38]Andrea Palazzi, Francesco Solera, Simone Calderara, Stefano Alletto, Rita Cucchiara:
Learning where to attend like a human driver. Intelligent Vehicles Symposium 2017: 920-925 - [p3]Francesco Solera, Simone Calderara, Rita Cucchiara:
From Groups to Leaders and Back: Exploring Mutual Predictability Between Social Groups and Their Leaders. Group and Crowd Behavior for Computer Vision 2017: 161-182 - [i7]Andrea Palazzi, Davide Abati, Simone Calderara, Francesco Solera, Rita Cucchiara:
Predicting the Driver's Focus of Attention: the DR(eye)VE Project. CoRR abs/1705.03854 (2017) - [i6]Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara:
Learning to Map Vehicles into Bird's Eye View. CoRR abs/1706.08442 (2017) - [i5]Matteo Fabbri, Simone Calderara, Rita Cucchiara:
Generative Adversarial Models for People Attribute Recognition in Surveillance. CoRR abs/1707.02240 (2017) - [i4]Guido Borghi, Matteo Fabbri, Roberto Vezzani, Simone Calderara, Rita Cucchiara:
Face-from-Depth for Head Pose Estimation on Depth Images. CoRR abs/1712.05277 (2017) - 2016
- [j14]Francesco Solera, Simone Calderara, Rita Cucchiara:
Socially Constrained Structural Learning for Groups Detection in Crowd. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 995-1008 (2016) - [j13]Dalia Coppi, Simone Calderara, Rita Cucchiara:
Transductive People Tracking in Unconstrained Surveillance. IEEE Trans. Circuits Syst. Video Technol. 26(4): 762-775 (2016) - [c37]Stefano Alletto, Andrea Palazzi, Francesco Solera, Simone Calderara, Rita Cucchiara:
DR(eye)VE: A Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving. CVPR Workshops 2016: 54-60 - [c36]Andrea Palazzi, Simone Calderara, Nicola Bicocchi, Loris Vezzali, Gian Antonio di Bernardo, Franco Zambonelli, Rita Cucchiara:
Spotting prejudice with nonverbal behaviours. UbiComp 2016: 853-862 - [i3]Andrea Palazzi, Francesco Solera, Simone Calderara, Stefano Alletto, Rita Cucchiara:
Where Should You Attend While Driving? CoRR abs/1611.08215 (2016) - 2015
- [j12]Stefano Alletto, Giuseppe Serra, Simone Calderara, Rita Cucchiara:
Understanding social relationships in egocentric vision. Pattern Recognit. 48(12): 4082-4096 (2015) - [j11]Dalia Coppi, Simone Calderara, Rita Cucchiara:
Active query process for digital video surveillance forensic applications. Signal Image Video Process. 9(4): 749-759 (2015) - [c35]Francesco Solera, Simone Calderara, Rita Cucchiara:
Towards the evaluation of reproducible robustness in tracking-by-detection. AVSS 2015: 1-6 - [c34]Francesco Solera, Simone Calderara, Rita Cucchiara:
Learning to identify leaders in crowd. CVPR Workshops 2015: 43-48 - [c33]Francesco Solera, Simone Calderara, Rita Cucchiara:
Learning to Divide and Conquer for Online Multi-target Tracking. ICCV 2015: 4373-4381 - [i2]Francesco Solera, Simone Calderara, Rita Cucchiara:
Socially Constrained Structural Learning for Groups Detection in Crowd. CoRR abs/1508.01158 (2015) - [i1]Francesco Solera, Simone Calderara, Rita Cucchiara:
Learning to Divide and Conquer for Online Multi-Target Tracking. CoRR abs/1509.03956 (2015) - 2014
- [j10]Marco Manfredi, Costantino Grana, Simone Calderara, Rita Cucchiara:
A complete system for garment segmentation and color classification. Mach. Vis. Appl. 25(4): 955-969 (2014) - [j9]Arnold W. M. Smeulders, Dung Manh Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah:
Visual Tracking: An Experimental Survey. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1442-1468 (2014) - [j8]Stefania Bandini, Simone Calderara, Rita Cucchiara:
Pattern recognition and crowd analysis. Pattern Recognit. Lett. 44: 1-2 (2014) - [j7]