DOHMO: Embedded Computer Vision in Co-Housing Scenarios. - Geri Skenderi; Alessia Bozzini; Luigi Capogrosso; Enrico Carlo Agrillo; Giovanni Perbellini; Franco Fummi; Marco Cristani (FDL, 2021)

Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. - Geri Skenderi; Christian Joppi; Matteo Denitto; Marco Cristani (CoRR, 2021)

Spatial Commonsense Graph for Object Localisation in Partial Scenes. - Francesco Giuliari; Geri Skenderi; Marco Cristani; Yiming Wang 002; Alessio Del Bue (CVPR, 2022)

The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. - Geri Skenderi; Christian Joppi; Matteo Denitto; Berniero Scarpa; Marco Cristani (CVPR Workshops, 2022)

POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query Expansion. - Christian Joppi; Geri Skenderi; Marco Cristani (ECCV (38), 2022)

Pose Forecasting in Industrial Human-Robot Collaboration. - Alessio Sampieri; Guido Maria D'Amely di Melendugno; Andrea Avogaro; Federico Cunico; Francesco Setti; Geri Skenderi; Marco Cristani; Fabio Galasso (ECCV (38), 2022)

Toward Smart Doors: A Position Paper. - Luigi Capogrosso; Geri Skenderi; Federico Girella; Franco Fummi; Marco Cristani (ICPR Workshops (2), 2022)

On the Use of Learning-Based Forecasting Methods for Ameliorating Fashion Business Processes: A Position Paper. - Geri Skenderi; Christian Joppi; Matteo Denitto; Marco Cristani (ICPR Workshops (2), 2022)

MovingFashion: a Benchmark for the Video-to-Shop Challenge. - Marco Godi; Christian Joppi; Geri Skenderi; Marco Cristani (WACV, 2022)

Pose Forecasting in Industrial Human-Robot Collaboration. - Alessio Sampieri; Guido D'Amely; Andrea Avogaro; Federico Cunico; Geri Skenderi; Francesco Setti; Marco Cristani; Fabio Galasso (CoRR, 2022)

Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments. - Cristian Turetta; Geri Skenderi; Luigi Capogrosso; Florenc Demrozi; Philipp H. Kindt; Alejandro Masrur; Franco Fummi; Marco Cristani; Graziano Pravadelli (DATE, 2023)

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. - 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; et al. (FDL, 2023)

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. - 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; et al. (CoRR, 2023)

Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. - Geri Skenderi; Luigi Capogrosso; Andrea Toaiari; Matteo Denitto; Franco Fummi; Simone Melzi; Marco Cristani (CoRR, 2023)

Leveraging Commonsense for Object Localisation in Partial Scenes. - Francesco Giuliari; Geri Skenderi; Marco Cristani; Alessio Del Bue; Yiming Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sub-Graph Based Diffusion Model for Link Prediction. - Hang Li 007; Wei Jin 009; Geri Skenderi; Harry Shomer; Wenzhuo Tang; Wenqi Fan; Jiliang Tang (LoG, 2024)

Graph-level Representation Learning with Joint-Embedding Predictive Architectures. - Geri Skenderi; Hang Li 007; Jiliang Tang; Marco Cristani (Trans. Mach. Learn. Res., 2025)