Christian Joppi

According to our database, Christian Joppi authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

MovingFashion: a Benchmark for the Video-to-Shop Challenge.

Marco Godi, Christian Joppi, Geri Skenderi, Marco Cristani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query Expansion.

Christian Joppi, Geri Skenderi, Marco Cristani

Proceedings of the Computer Vision - ECCV 2022, 2022

The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark.

Geri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

2020

SIMCO: SIMilarity-based object COunting.

Marco Godi, Christian Joppi, Andrea Giachetti, Marco Cristani

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Texture Retrieval in the Wild Through Detection-Based Attributes.

Christian Joppi, Marco Godi, Andrea Giachetti, Fabio Pellacini, Marco Cristani

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Texel-Att: Representing and Classifying Element-Based Textures by Attributes.

Marco Godi, Christian Joppi, Andrea Giachetti, Fabio Pellacini, Marco Cristani

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

From Web to Physical and Back: WP User Profiling with Deep Learning.

Christian Joppi, Pietro Lovato, Marco Cristani, Gloria Menegaz

Proceedings of the Current Trends in Web Engineering, 2018