Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Sun, Yinan"'
An Optimization-Based Inverse Kinematics Solver for Continuum Manipulators in Intricate Environments
Autor:
Sun, Yinan, Wang, Sai
Continuum manipulators have gained significant attention as a promising alternative to rigid manipulators, offering notable advantages in terms of flexibility and adaptability within intricate workspace. However, the broader application of high degre
Externí odkaz:
http://arxiv.org/abs/2410.20311
Autor:
Molodetskikh, Ivan, Borisov, Artem, Vatolin, Dmitriy, Timofte, Radu, Liu, Jianzhao, Zhi, Tianwu, Zhang, Yabin, Li, Yang, Xu, Jingwen, Liao, Yiting, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Cao, Yuqin, Sun, Wei, Zhang, Weixia, Sun, Yinan, Jia, Ziheng, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, Luo, Weihua, Z., Yupeng, Y, Hong
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. The task of this challenge was to develop an objective QA me
Externí odkaz:
http://arxiv.org/abs/2410.04225
Autor:
Moskalenko, Andrey, Bryncev, Alexey, Vatolin, Dmitry, Timofte, Radu, Zhan, Gen, Yang, Li, Tang, Yunlong, Liao, Yiting, Lin, Jiongzhi, Huang, Baitao, Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone, Zhu, Yuxin, Sun, Yinan, Duan, Huiyu, Cao, Yuqin, Jia, Ziheng, Hu, Qiang, Min, Xiongkuo, Zhai, Guangtao, Fang, Hao, Cong, Runmin, Lu, Xiankai, Zhou, Xiaofei, Zhang, Wei, Zhao, Chunyu, Mu, Wentao, Deng, Tao, Tavakoli, Hamed R.
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps are widely exploited in vario
Externí odkaz:
http://arxiv.org/abs/2409.14827
Autor:
Sun, Yinan, Zhang, Zicheng, Wu, Haoning, Liu, Xiaohong, Lin, Weisi, Zhai, Guangtao, Min, Xiongkuo
The rapid development of Multi-modality Large Language Models (MLLMs) has significantly influenced various aspects of industry and daily life, showcasing impressive capabilities in visual perception and understanding. However, these models also exhib
Externí odkaz:
http://arxiv.org/abs/2409.09748
Autor:
Smirnov, Maksim, Gushchin, Aleksandr, Antsiferova, Anastasia, Vatolin, Dmitry, Timofte, Radu, Jia, Ziheng, Zhang, Zicheng, Sun, Wei, Qian, Jiaying, Cao, Yuqin, Sun, Yinan, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, De, Kanjar, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Meng, Wenhui, Chen, Zhenzhong, Cheng, Zhengxue, Xiao, Jiahao, Xu, Jun, He, Chenlong, Zheng, Qi, Zhu, Ruoxi, Li, Min, Fan, Yibo, Tu, Zhengzhong
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of the Compressed Video Quality Assessment challenge, held in conjunctio
Externí odkaz:
http://arxiv.org/abs/2408.11982
The analysis and prediction of visual attention have long been crucial tasks in the fields of computer vision and image processing. In practical applications, images are generally accompanied by various text descriptions, however, few studies have ex
Externí odkaz:
http://arxiv.org/abs/2404.07537
Autor:
Qian, Yang, Sun, Yinan, Kargarandehkordi, Ali, Azizian, Parnian, Mutlu, Onur Cezmi, Surabhi, Saimourya, Chen, Pingyi, Jabbar, Zain, Wall, Dennis Paul, Washington, Peter
The increasing variety and quantity of tagged multimedia content on a variety of online platforms offer a unique opportunity to advance the field of human action recognition. In this study, we utilize 283,582 unique, unlabeled TikTok video clips, cat
Externí odkaz:
http://arxiv.org/abs/2402.08875
Autor:
Guo, Minghao1 (AUTHOR) u202110355@hust.edu.cn, Sun, Yinan2 (AUTHOR) sunyinan@hust.edu.cn, Wang, Xiaohui3 (AUTHOR) d202282145@hust.edu.cn, Wang, Zikun2 (AUTHOR), Yuan, Xun1 (AUTHOR) yuanxun@tjh.tjmu.edu.cn, Chen, Xinyi1 (AUTHOR) cxyjozee@foxmail.com, Yuan, Xianglin1 (AUTHOR) yuanxianglin@hust.edu.cn, Wang, Lu1 (AUTHOR) yuanxianglin@hust.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 19, p10486. 22p.
Autor:
Ji, Yandong, Li, Zhongyu, Sun, Yinan, Peng, Xue Bin, Levine, Sergey, Berseth, Glen, Sreenath, Koushil
We address the problem of enabling quadrupedal robots to perform precise shooting skills in the real world using reinforcement learning. Developing algorithms to enable a legged robot to shoot a soccer ball to a given target is a challenging problem
Externí odkaz:
http://arxiv.org/abs/2208.01160
Autor:
Li, Yimiao, Xia, Yan, Liu, Xing, Wang, Jieqi, Sun, Yinan, Huang, Jinxia, Guo, Zhao, Jia, Shuang, Chen, Yufang, Wang, Jie, Wang, Liping, Li, Jiaqi, Feng, Jian, Wang, Liyao, Li, Xinyu
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 3