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2020 – today
- 2024
[i13]Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang:
Sub-graph Based Diffusion Model for Link Prediction. CoRR abs/2409.08487 (2024)- 2023
- [j1]Francesco Giuliari
, Geri Skenderi, Marco Cristani, Alessio Del Bue, Yiming Wang:
Leveraging Commonsense for Object Localisation in Partial Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12038-12049 (2023) - [c10]Cristian Turetta, Geri Skenderi, Luigi Capogrosso, Florenc Demrozi, Philipp H. Kindt, Alejandro Masrur, Franco Fummi, Marco Cristani, Graziano Pravadelli:
Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments. DATE 2023: 1-6 - [c9]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. FDL 2023: 1-4 - [i12]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. CoRR abs/2307.06975 (2023) - [i11]Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani:
Graph-level Representation Learning with Joint-Embedding Predictive Architectures. CoRR abs/2309.16014 (2023) - [i10]Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi, Marco Cristani:
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. CoRR abs/2310.09278 (2023) - 2022
- [c8]Geri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani:
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. CVPR Workshops 2022: 2240-2245 - [c7]Francesco Giuliari, Geri Skenderi, Marco Cristani, Yiming Wang, Alessio Del Bue:
Spatial Commonsense Graph for Object Localisation in Partial Scenes. CVPR 2022: 19496-19505 - [c6]Christian Joppi, Geri Skenderi, Marco Cristani:
POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query Expansion. ECCV (38) 2022: 34-50 - [c5]Alessio Sampieri, Guido Maria D'Amely di Melendugno, Andrea Avogaro, Federico Cunico, Francesco Setti, Geri Skenderi, Marco Cristani, Fabio Galasso:
Pose Forecasting in Industrial Human-Robot Collaboration. ECCV (38) 2022: 51-69 - [c4]Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani:
On the Use of Learning-Based Forecasting Methods for Ameliorating Fashion Business Processes: A Position Paper. ICPR Workshops (2) 2022: 647-659 - [c3]Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani:
Toward Smart Doors: A Position Paper. ICPR Workshops (2) 2022: 660-673 - [c2]Marco Godi, Christian Joppi, Geri Skenderi, Marco Cristani:
MovingFashion: a Benchmark for the Video-to-Shop Challenge. WACV 2022: 517-525 - [i9]Francesco Giuliari, Geri Skenderi, Marco Cristani, Yiming Wang, Alessio Del Bue:
Spatial Commonsense Graph for Object Localisation in Partial Scenes. CoRR abs/2203.05380 (2022) - [i8]Geri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani:
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. CoRR abs/2204.06972 (2022) - [i7]Christian Joppi, Geri Skenderi, Marco Cristani:
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion. CoRR abs/2207.11001 (2022) - [i6]Alessio Sampieri, Guido D'Amely, Andrea Avogaro, Federico Cunico, Geri Skenderi, Francesco Setti, Marco Cristani, Fabio Galasso:
Pose Forecasting in Industrial Human-Robot Collaboration. CoRR abs/2208.07308 (2022) - [i5]Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani:
Toward Smart Doors: A Position Paper. CoRR abs/2209.11770 (2022) - [i4]Francesco Giuliari, Geri Skenderi, Marco Cristani, Alessio Del Bue, Yiming Wang:
Leveraging commonsense for object localisation in partial scenes. CoRR abs/2211.00562 (2022) - [i3]Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani:
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper. CoRR abs/2211.04798 (2022) - 2021
- [c1]Geri Skenderi, Alessia Bozzini, Luigi Capogrosso, Enrico Carlo Agrillo, Giovanni Perbellini, Franco Fummi, Marco Cristani:
DOHMO: Embedded Computer Vision in Co-Housing Scenarios. FDL 2021: 1-8 - [i2]Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani:
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. CoRR abs/2109.09824 (2021) - [i1]Marco Godi, Christian Joppi, Geri Skenderi, Marco Cristani:
MovingFashion: a Benchmark for the Video-to-Shop Challenge. CoRR abs/2110.02627 (2021)
Coauthor Index
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