Zobrazeno 1 - 10
of 119
pro vyhledávání: '"MESSINA, NICOLA"'
Autor:
Pacini, Giacomo, Carrara, Fabio, Messina, Nicola, Tonellotto, Nicola, Amato, Giuseppe, Falchi, Fabrizio
Query suggestion, a technique widely adopted in information retrieval, enhances system interactivity and the browsing experience of document collections. In cross-modal retrieval, many works have focused on retrieving relevant items from natural lang
Externí odkaz:
http://arxiv.org/abs/2412.13834
Autor:
Barsellotti, Luca, Bianchi, Lorenzo, Messina, Nicola, Carrara, Fabio, Cornia, Marcella, Baraldi, Lorenzo, Falchi, Fabrizio, Cucchiara, Rita
Open-Vocabulary Segmentation (OVS) aims at segmenting images from free-form textual concepts without predefined training classes. While existing vision-language models such as CLIP can generate segmentation masks by leveraging coarse spatial informat
Externí odkaz:
http://arxiv.org/abs/2411.19331
Autor:
Ciampi, Luca, Messina, Nicola, Pierucci, Matteo, Amato, Giuseppe, Avvenuti, Marco, Falchi, Fabrizio
Recently, object counting has shifted towards class-agnostic counting (CAC), which counts instances of arbitrary object classes never seen during model training. With advancements in robust vision-and-language foundation models, there is a growing in
Externí odkaz:
http://arxiv.org/abs/2409.15953
Pose-estimation methods enable extracting human motion from common videos in the structured form of 3D skeleton sequences. Despite great application opportunities, effective content-based access to such spatio-temporal motion data is a challenging pr
Externí odkaz:
http://arxiv.org/abs/2407.02104
Modern applications increasingly demand flexible computer vision models that adapt to novel concepts not encountered during training. This necessity is pivotal in emerging domains like extended reality, robotics, and autonomous driving, which require
Externí odkaz:
http://arxiv.org/abs/2404.03539
Recent advancements in large vision-language models enabled visual object detection in open-vocabulary scenarios, where object classes are defined in free-text formats during inference. In this paper, we aim to probe the state-of-the-art methods for
Externí odkaz:
http://arxiv.org/abs/2311.17518
Due to recent advances in pose-estimation methods, human motion can be extracted from a common video in the form of 3D skeleton sequences. Despite wonderful application opportunities, effective and efficient content-based access to large volumes of s
Externí odkaz:
http://arxiv.org/abs/2305.15842
Autor:
Foszner, Paweł, Szczęsna, Agnieszka, Ciampi, Luca, Messina, Nicola, Cygan, Adam, Bizoń, Bartosz, Cogiel, Michał, Golba, Dominik, Macioszek, Elżbieta, Staniszewski, Michał
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2023
Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). The use of simulation tools can significantly reduce the t
Externí odkaz:
http://arxiv.org/abs/2304.13403
Autor:
Foszner, Paweł, Szczęsna, Agnieszka, Ciampi, Luca, Messina, Nicola, Cygan, Adam, Bizoń, Bartosz, Cogiel, Michał, Golba, Dominik, Macioszek, Elżbieta, Staniszewski, Michał
Data scarcity has become one of the main obstacles to developing supervised models based on Artificial Intelligence in Computer Vision. Indeed, Deep Learning-based models systematically struggle when applied in new scenarios never seen during trainin
Externí odkaz:
http://arxiv.org/abs/2304.05090
Autor:
Carrara, Fabio, Falchi, Fabrizio, Girardi, Maria, Messina, Nicola, Padovani, Cristina, Pellegrini, Daniele
Thanks to recent advancements in numerical methods, computer power, and monitoring technology, seismic ambient noise provides precious information about the structural behavior of old buildings. The measurement of the vibrations produced by anthropic
Externí odkaz:
http://arxiv.org/abs/2211.10351