no code implementations • 18 Jan 2025 • Mirco Bonomo, Simone Bianco
Recent researches have explored the use of In-Context Learning (ICL) to overcome these challenges by providing a set of demonstrating examples as context to augment MLLMs performance in several tasks, showing that many-shot ICL leads to substantial improvements compared to few-shot ICL.
no code implementations • 20 Nov 2024 • Simone Bianco, Luigi Celona, Paolo Napoletano
The classification of distracted drivers is pivotal for ensuring safe driving.
no code implementations • 18 Jun 2024 • Egor Ershov, Artyom Panshin, Oleg Karasev, Sergey Korchagin, Shepelev Lev, Alexandr Startsev, Daniil Vladimirov, Ekaterina Zaychenkova, Nikola Banić, Dmitrii Iarchuk, Maria Efimova, Radu Timofte, Arseniy Terekhin, Shuwei Yue, Yuyang Liu, Minchen Wei, Lu Xu, Chao Zhang, Yasi Wang, Furkan Kınlı, Doğa Yılmaz, Barış Özcan, Furkan Kıraç, Shuai Liu, Jingyuan Xiao, Chaoyu Feng, Hao Wang, Guangqi Shao, Yuqian Zhang, Yibin Huang, Wei Luo, Liming Wang, Xiaotao Wang, Lei Lei, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Jin Guo, Tianli Liu, Mohao Wu, Ben Shao, Qirui Yang, Xianghui Li, Qihua Cheng, Fangpu Zhang, Zhiqiang Xu, Jingyu Yang, Huanjing Yue
The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering.
no code implementations • 25 Apr 2024 • Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, HaoNing Wu, Yixuan Gao, Yuqin Cao, ZiCheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Fengbin Guan, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao
A total of 196 participants have registered in the video track.
no code implementations • 7 Feb 2024 • Chaitra Agrahar, William Poole, Simone Bianco, Hana El-Samad
Here, we develop an extension of the KF, called a Pathspace Kalman Filter (PKF) which allows us to a) dynamically track the uncertainties associated with the underlying data and prior knowledge, and b) take as input an entire trajectory and an underlying mechanistic model, and using a Bayesian methodology quantify the different sources of uncertainty.
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.
1 code implementation • ISPRS Journal of Photogrammetry and Remote Sensing 2023 • Davide Marelli, Luca Morelli, Elisa Mariarosaria Farella, Simone Bianco, Gianluigi Ciocca, Fabio Remondino
The availability of high-resolution data and accurate ground truth is essential to evaluate and compare methods and algorithms properly.
3 code implementations • 23 Aug 2022 • Ren Yang, Radu Timofte, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei LI, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
The homepage of this challenge is at https://github. com/RenYang-home/AIM22_CompressSR.
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 • 19 Apr 2022 • Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini
We introduce a camera pipeline for rendering visually pleasing photographs in low light conditions, as part of the NTIRE2022 Night Photography Rendering challenge.
no code implementations • 3 Jun 2021 • Vishrawas Gopalakrishnan, Sayali Navalekar, Pan Ding, Ryan Hooley, Jacob Miller, Raman Srinivasan, Ajay Deshpande, Xuan Liu, Simone Bianco, James H. Kaufman
Pandemic control measures like lock-down, restrictions on restaurants and gatherings, social-distancing have shown to be effective in curtailing the spread of COVID-19.
no code implementations • 31 Dec 2020 • Egor Ershov, Alex Savchik, Ilya Semenkov, Nikola Banić, Karlo Koscević, Marko Subašić, Alexander Belokopytov, Zhihao LI, Arseniy Terekhin, Daria Senshina, Artem Nikonorov, Yanlin Qian, Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, Sven Lončarić, Dmitry Nikolaev
The main advantage of testing a method on a challenge over testing in on some of the known datasets is the fact that the ground-truth illuminations for the challenge test images are unknown up until the results have been submitted, which prevents any potential hyperparameter tuning that may be biased.
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.
1 code implementation • CVPR 2019 • Simone Bianco, Claudio Cusano
After training, unbalanced images can be processed thanks to the preliminary conversion to grayscale of the input to the neural network.
no code implementations • 14 Mar 2019 • Simone Zini, Simone Bianco, Raimondo Schettini
This results is remarkable since the approaches in the state of the art use a different set of weights for each compression quality, while the proposed model uses the same weights for all of them, making it applicable to images in the wild where the QF used for compression is unkwnown.
no code implementations • 19 Dec 2018 • Simone Bianco, Davide Mazzini, Paolo Napoletano, Raimondo Schettini
In this work we propose a new deep multibranch neural network to solve the tasks of artist, style, and genre categorization in a multitask formulation.
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.
no code implementations • 30 May 2018 • Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter Gehler, Simone Bianco, Brian Funt, Mark Drew, Lilong Shi
In a previous work, it was shown that there is a curious problem with the benchmark ColorChecker dataset for illuminant estimation.
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 • 5 Dec 2017 • Franco Manessi, Alessandro Rozza, Simone Bianco, Paolo Napoletano, Raimondo Schettini
In this work we present a method to improve the pruning step of the current state-of-the-art methodology to compress neural networks.
no code implementations • 10 Jan 2017 • Simone Bianco, Marco Buzzelli, Davide Mazzini, Raimondo Schettini
In this paper we propose a method for logo recognition using deep learning.
Ranked #1 on
Image Classification
on FlickrLogos-32
no code implementations • 19 Feb 2016 • Simone Bianco
This paper introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.
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 • 5 Aug 2015 • Simone Bianco, Claudio Cusano, Raimondo Schettini
In this paper we present a method for the estimation of the color of the illuminant in RAW images.
no code implementations • 1 Jun 2015 • Simone Bianco, Gianluigi Ciocca
The relative importance of these criteria are automatically learned by exploiting the user preferences, and new collages are generated.
no code implementations • 29 May 2015 • Simone Bianco, Gianluigi Ciocca, Claudio Cusano
The strategy, that is called CURL from Co-trained Unsupervised Representation Learning, iteratively builds two classifiers on two different views of the data.
no code implementations • 12 May 2015 • Simone Bianco, Gianluigi Ciocca, Raimondo Schettini
Given the existence of many change detection algorithms, each with its own peculiarities and strengths, we propose a combination strategy, that we termed IUTIS (In Unity There Is Strength), based on a genetic Programming framework.
1 code implementation • 17 Apr 2015 • Simone Bianco, Claudio Cusano, Raimondo Schettini
In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination.