Zobrazeno 1 - 10
of 481
pro vyhledávání: '"Bianco, Simone"'
Autor:
Bianco, Simone
The hospitality industry has experienced significant changes in its competitive environment over the past 30 years, driven by the growth of alternative accommodations, the widespread use of the internet for searching and booking accommodations, and t
Externí odkaz:
http://hdl.handle.net/10919/115095
Autor:
Ershov, Egor, Panshin, Artyom, Karasev, Oleg, Korchagin, Sergey, Lev, Shepelev, Startsev, Alexandr, Vladimirov, Daniil, Zaychenkova, Ekaterina, Banić, Nikola, Iarchuk, Dmitrii, Efimova, Maria, Timofte, Radu, Terekhin, Arseniy, Yue, Shuwei, Liu, Yuyang, Wei, Minchen, Xu, Lu, Zhang, Chao, Wang, Yasi, Kınlı, Furkan, Yılmaz, Doğa, Özcan, Barış, Kıraç, Furkan, Liu, Shuai, Xiao, Jingyuan, Feng, Chaoyu, Wang, Hao, Shao, Guangqi, Zhang, Yuqian, Huang, Yibin, Luo, Wei, Wang, Liming, Wang, Xiaotao, Lei, Lei, Zini, Simone, Rota, Claudio, Buzzelli, Marco, Bianco, Simone, Schettini, Raimondo, Guo, Jin, Liu, Tianli, Wu, Mohao, Shao, Ben, Yang, Qirui, Li, Xianghui, Cheng, Qihua, Zhang, Fangpu, Xu, Zhiqiang, Yang, Jingyu, Yue, Huanjing
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality output images i
Externí odkaz:
http://arxiv.org/abs/2406.13007
Autor:
Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major
Externí odkaz:
http://arxiv.org/abs/2404.16687
Kalman Filter (KF) is an optimal linear state prediction algorithm, with applications in fields as diverse as engineering, economics, robotics, and space exploration. Here, we develop an extension of the KF, called a Pathspace Kalman Filter (PKF) whi
Externí odkaz:
http://arxiv.org/abs/2402.04498
State-of-The-Art (SoTA) image captioning models often rely on the Microsoft COCO (MS-COCO) dataset for training. This dataset contains annotations provided by human annotators, who typically produce captions averaging around ten tokens. However, this
Externí odkaz:
http://arxiv.org/abs/2306.11593
Autor:
Yang, Ren, Timofte, Radu, Li, Xin, Zhang, Qi, Zhang, Lin, Liu, Fanglong, He, Dongliang, li, Fu, Zheng, He, Yuan, Weihang, Ostyakov, Pavel, Vyal, Dmitry, Zhussip, Magauiya, Zou, Xueyi, Yan, Youliang, Li, Lei, Tang, Jingzhu, Chen, Ming, Zhao, Shijie, Zhu, Yu, Qin, Xiaoran, Li, Chenghua, Leng, Cong, Cheng, Jian, Rota, Claudio, Buzzelli, Marco, Bianco, Simone, Schettini, Raimondo, Zhang, Dafeng, Huang, Feiyu, Liu, Shizhuo, Wang, Xiaobing, Jin, Zhezhu, Li, Bingchen, Li, Mingxi, Liu, Ding, Zou, Wenbin, Dong, Peijie, Ye, Tian, Zhang, Yunchen, Tan, Ming, Niu, Xin, Ayazoglu, Mustafa, Conde, Marcos, Choi, Ui-Jin, Jia, Zhuang, Xu, Tianyu, Zhang, Yijian, Ye, Mao, Luo, Dengyan, Pan, Xiaofeng, Peng, Liuhan
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compressed image, and Track~2 targets the super-resolution of compressed video
Externí odkaz:
http://arxiv.org/abs/2208.11184
Autor:
Agarla, Mirko, Bianco, Simone, Celona, Luigi, Napoletano, Paolo, Petrovsky, Alexey, Piccoli, Flavio, Schettini, Raimondo, Shanin, Ivan
Publikováno v:
Elsevier Expert Systems with Applications, 237 (2024), 121368
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. However, cross-lingual SER remains a challenge in real-world applications due to two main
Externí odkaz:
http://arxiv.org/abs/2207.06767
We present a unified deep learning framework for the recognition of user identity and the recognition of imagined actions, based on electroencephalography (EEG) signals, for application as a brain-computer interface. Our solution exploits a novel shi
Externí odkaz:
http://arxiv.org/abs/2205.04357
We introduce a camera pipeline for rendering visually pleasing photographs in low light conditions, as part of the NTIRE2022 Night Photography Rendering challenge. Given the nature of the task, where the objective is verbally defined by an expert pho
Externí odkaz:
http://arxiv.org/abs/2204.08972