Zobrazeno 1 - 10
of 3 204
pro vyhledávání: '"P. Palani"'
This paper presents a novel control method for a group of UAVs in obstacle-laden environments while preserving sensing network connectivity without data transmission between the UAVs. By leveraging constraints rooted in control barrier functions (CBF
Externí odkaz:
http://arxiv.org/abs/2411.19019
Autor:
Maharaj, Kishan, Munigala, Vitobha, Tamilselvam, Srikanth G., Kumar, Prince, Sen, Sayandeep, Kodeswaran, Palani, Mishra, Abhijit, Bhattacharyya, Pushpak
Recent advancements in large language models (LLMs) have significantly enhanced their ability to understand both natural language and code, driving their use in tasks like natural language-to-code (NL2Code) and code summarization. However, LLMs are p
Externí odkaz:
http://arxiv.org/abs/2410.14748
Autor:
Colla, Alessandra, Hasse, Florian, Palani, Deviprasath, Schaetz, Tobias, Breuer, Heinz-Peter, Warring, Ulrich
Understanding how strong coupling and memory effects influence the energy levels of open quantum systems is a complex and challenging problem. Here, we show these effects by probing the transition frequency of an open two-level system within the Jayn
Externí odkaz:
http://arxiv.org/abs/2408.15928
Autor:
Liu, Xiaoning, Wu, Zongwei, Li, Ao, Vasluianu, Florin-Alexandru, Zhang, Yulun, Gu, Shuhang, Zhang, Le, Zhu, Ce, Timofte, Radu, Jin, Zhi, Wu, Hongjun, Wang, Chenxi, Ling, Haitao, Cai, Yuanhao, Bian, Hao, Zheng, Yuxin, Lin, Jing, Yuille, Alan, Shao, Ben, Guo, Jin, Liu, Tianli, Wu, Mohao, Feng, Yixu, Hou, Shuo, Lin, Haotian, Zhu, Yu, Wu, Peng, Dong, Wei, Sun, Jinqiu, Zhang, Yanning, Yan, Qingsen, Zou, Wenbin, Yang, Weipeng, Li, Yunxiang, Wei, Qiaomu, Ye, Tian, Chen, Sixiang, Zhang, Zhao, Zhao, Suiyi, Wang, Bo, Luo, Yan, Zuo, Zhichao, Wang, Mingshen, Wang, Junhu, Wei, Yanyan, Sun, Xiaopeng, Gao, Yu, Huang, Jiancheng, Chen, Hongming, Chen, Xiang, Tang, Hui, Chen, Yuanbin, Zhou, Yuanbo, Dai, Xinwei, Qiu, Xintao, Deng, Wei, Gao, Qinquan, Tong, Tong, Li, Mingjia, Hu, Jin, He, Xinyu, Guo, Xiaojie, Sabarinathan, Uma, K, Sasithradevi, A, Bama, B Sathya, Roomi, S. Mohamed Mansoor, Srivatsav, V., Wang, Jinjuan, Sun, Long, Chen, Qiuying, Shao, Jiahong, Zhang, Yizhi, Conde, Marcos V., Feijoo, Daniel, Benito, Juan C., García, Alvaro, Lee, Jaeho, Kim, Seongwan, A, Sharif S M, Khujaev, Nodirkhuja, Tsoy, Roman, Murtaza, Ali, Khairuddin, Uswah, Faudzi, Ahmad 'Athif Mohd, Malagi, Sampada, Joshi, Amogh, Akalwadi, Nikhil, Desai, Chaitra, Tabib, Ramesh Ashok, Mudenagudi, Uma, Lian, Wenyi, Lian, Wenjing, Kalyanshetti, Jagadeesh, Aralikatti, Vijayalaxmi Ashok, Yashaswini, Palani, Upasi, Nitish, Hegde, Dikshit, Patil, Ujwala, C, Sujata, Yan, Xingzhuo, Hao, Wei, Fu, Minghan, choksy, Pooja, Sarvaiya, Anjali, Upla, Kishor, Raja, Kiran, Yan, Hailong, Zhang, Yunkai, Li, Baiang, Zhang, Jingyi, Zheng, Huan
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and vi
Externí odkaz:
http://arxiv.org/abs/2404.14248
Autor:
Ren, Bin, Li, Yawei, Mehta, Nancy, Timofte, Radu, Yu, Hongyuan, Wan, Cheng, Hong, Yuxin, Han, Bingnan, Wu, Zhuoyuan, Zou, Yajun, Liu, Yuqing, Li, Jizhe, He, Keji, Fan, Chao, Zhang, Heng, Zhang, Xiaolin, Yin, Xuanwu, Zuo, Kunlong, Liao, Bohao, Xia, Peizhe, Peng, Long, Du, Zhibo, Di, Xin, Li, Wangkai, Wang, Yang, Zhai, Wei, Pei, Renjing, Guo, Jiaming, Xu, Songcen, Cao, Yang, Zha, Zhengjun, Wang, Yan, Liu, Yi, Wang, Qing, Zhang, Gang, Zhang, Liou, Zhao, Shijie, Sun, Long, Pan, Jinshan, Dong, Jiangxin, Tang, Jinhui, Liu, Xin, Yan, Min, Wang, Qian, Zhou, Menghan, Yan, Yiqiang, Liu, Yixuan, Chan, Wensong, Tang, Dehua, Zhou, Dong, Wang, Li, Tian, Lu, Emad, Barsoum, Jia, Bohan, Qiao, Junbo, Zhou, Yunshuai, Zhang, Yun, Li, Wei, Lin, Shaohui, Zhou, Shenglong, Chen, Binbin, Liao, Jincheng, Zhao, Suiyi, Zhang, Zhao, Wang, Bo, Luo, Yan, Wei, Yanyan, Li, Feng, Wang, Mingshen, Guan, Jinhan, Hu, Dehua, Yu, Jiawei, Xu, Qisheng, Sun, Tao, Lan, Long, Xu, Kele, Lin, Xin, Yue, Jingtong, Yang, Lehan, Du, Shiyi, Qi, Lu, Ren, Chao, Han, Zeyu, Wang, Yuhan, Chen, Chaolin, Li, Haobo, Zheng, Mingjun, Yang, Zhongbao, Song, Lianhong, Yan, Xingzhuo, Fu, Minghan, Zhang, Jingyi, Li, Baiang, Zhu, Qi, Xu, Xiaogang, Guo, Dan, Guo, Chunle, Chen, Jiadi, Long, Huanhuan, Duanmu, Chunjiang, Lei, Xiaoyan, Liu, Jie, Jia, Weilin, Cao, Weifeng, Zhang, Wenlong, Mao, Yanyu, Guo, Ruilong, Zhang, Nihao, Pandey, Manoj, Chernozhukov, Maksym, Le, Giang, Cheng, Shuli, Wang, Hongyuan, Wei, Ziyan, Tang, Qingting, Wang, Liejun, Li, Yongming, Guo, Yanhui, Xu, Hao, Khatami-Rizi, Akram, Mahmoudi-Aznaveh, Ahmad, Hsu, Chih-Chung, Lee, Chia-Ming, Chou, Yi-Shiuan, Joshi, Amogh, Akalwadi, Nikhil, Malagi, Sampada, Yashaswini, Palani, Desai, Chaitra, Tabib, Ramesh Ashok, Patil, Ujwala, Mudenagudi, Uma
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor
Externí odkaz:
http://arxiv.org/abs/2404.10343
Autor:
Chen, Zheng, Wu, Zongwei, Zamfir, Eduard, Zhang, Kai, Zhang, Yulun, Timofte, Radu, Yang, Xiaokang, Yu, Hongyuan, Wan, Cheng, Hong, Yuxin, Huang, Zhijuan, Zou, Yajun, Huang, Yuan, Lin, Jiamin, Han, Bingnan, Guan, Xianyu, Yu, Yongsheng, Zhang, Daoan, Yin, Xuanwu, Zuo, Kunlong, Hao, Jinhua, Zhao, Kai, Yuan, Kun, Sun, Ming, Zhou, Chao, An, Hongyu, Zhang, Xinfeng, Song, Zhiyuan, Dong, Ziyue, Zhao, Qing, Xu, Xiaogang, Wei, Pengxu, Dou, Zhi-chao, Wang, Gui-ling, Hsu, Chih-Chung, Lee, Chia-Ming, Chou, Yi-Shiuan, Korkmaz, Cansu, Tekalp, A. Murat, Wei, Yubin, Yan, Xiaole, Li, Binren, Chen, Haonan, Zhang, Siqi, Chen, Sihan, Joshi, Amogh, Akalwadi, Nikhil, Malagi, Sampada, Yashaswini, Palani, Desai, Chaitra, Tabib, Ramesh Ashok, Patil, Ujwala, Mudenagudi, Uma, Sarvaiya, Anjali, Choksy, Pooja, Joshi, Jagrit, Kawa, Shubh, Upla, Kishor, Patwardhan, Sushrut, Ramachandra, Raghavendra, Hossain, Sadat, Park, Geongi, Uddin, S. M. Nadim, Xu, Hao, Guo, Yanhui, Urumbekov, Aman, Yan, Xingzhuo, Hao, Wei, Fu, Minghan, Orais, Isaac, Smith, Samuel, Liu, Ying, Jia, Wangwang, Xu, Qisheng, Xu, Kele, Yuan, Weijun, Li, Zhan, Kuang, Wenqin, Guan, Ruijin, Deng, Ruting, Zhang, Zhao, Wang, Bo, Zhao, Suiyi, Luo, Yan, Wei, Yanyan, Khan, Asif Hussain, Micheloni, Christian, Martinel, Niki
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of fo
Externí odkaz:
http://arxiv.org/abs/2404.09790
Publikováno v:
Indonesian Journal of Innovation and Applied Sciences, Vol 4, Iss 3, Pp 283-294 (2024)
This study was conducted to investigate the effects of Sodium selenite (Se) and zinc sulfate (Zn) supplementation individually and blended between them on semen quality, testicle size, weight, and Histological changes of the testis and epididymis, in
Externí odkaz:
https://doaj.org/article/a71d25b7260842a1815a15f1f39e9f6c
In quantum technologies, it is essential to understand and exploit the interplay of light and matter. We introduce an approach, creating and maintaining the coherence of four oscillators: a global microwave reference field, a polarization-gradient tr
Externí odkaz:
http://arxiv.org/abs/2309.15580
Multimodal deep learning, especially vision-language models, have gained significant traction in recent years, greatly improving performance on many downstream tasks, including content moderation and violence detection. However, standard multimodal a
Externí odkaz:
http://arxiv.org/abs/2309.03452
People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city. However, while they often require working in a nonlinear manner -- e.g., to arrange information s
Externí odkaz:
http://arxiv.org/abs/2305.11483