2 code implementations • 1 Oct 2018 • Simone Bianco, Remi Cadene, Luigi Celona, Paolo Napoletano
This work presents an in-depth analysis of the majority of the deep neural networks (DNNs) proposed in the state of the art for image recognition.
1 code implementation • 17 Jun 2022 • Daniel Vera Nieto, Luigi Celona, Clara Fernandez-Labrador
In this regard, we propose the Reddit Photo Critique Dataset (RPCD), which contains tuples of image and photo critiques.
no code implementations • 22 May 2018 • Simone Bianco, Luigi Celona, Raimondo Schettini
Recent research has widely explored the problem of aesthetics assessment of images with generic content.
no code implementations • 17 Feb 2016 • Simone Bianco, Luigi Celona, Paolo Napoletano, Raimondo Schettini
We report on different design choices, ranging from the use of features extracted from pre-trained Convolutional Neural Networks (CNNs) as a generic image description, to the use of features extracted from a CNN fine-tuned for the image quality task.
no code implementations • 26 Feb 2020 • Simone Bianco, Luigi Celona, Paolo Napoletano
In this work we take a further step in the direction of a broader understanding of such property by analyzing the capability of deep visual representations to intrinsically characterize different types of image distortions.
no code implementations • 8 Nov 2021 • Luigi Celona, Marco Leonardi, Paolo Napoletano, Alessandro Rozza
In this paper we propose a method for the automatic prediction of the aesthetics of an image that is based on the analysis of the semantic content, the artistic style and the composition of the image.
no code implementations • 14 Jul 2022 • Mirko Agarla, Simone Bianco, Luigi Celona, Paolo Napoletano, Alexey Petrovsky, Flavio Piccoli, Raimondo Schettini, Ivan Shanin
Performance in Speech Emotion Recognition (SER) on a single language has increased greatly in the last few years thanks to the use of deep learning techniques.
no code implementations • 20 Jun 2023 • Simone Bianco, Luigi Celona, Marco Donzella, Paolo Napoletano
This advance opens up new possibilities for generating captions that are more suitable for the training of both vision-language and captioning models.
no code implementations • 19 Jul 2023 • Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao liu, Yu Lai, Shanshan Chen, Wenqi Wang, HaoNing Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh
61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions.