Zobrazeno 1 - 10
of 903
pro vyhledávání: '"YANG Jinyu"'
In the general domain, large multimodal models (LMMs) have achieved significant advancements, yet challenges persist in applying them to specific fields, especially agriculture. As the backbone of the global economy, agriculture confronts numerous ch
Externí odkaz:
http://arxiv.org/abs/2412.02158
Camouflaged Object Detection (COD) aims to detect objects with camouflaged properties. Although previous studies have focused on natural (animals and insects) and unnatural (artistic and synthetic) camouflage detection, plant camouflage has been negl
Externí odkaz:
http://arxiv.org/abs/2410.17598
Autor:
Kirschner, Robin Jeanne, Yang, Jinyu, Elshani, Edonis, Micheler, Carina M., Leibbrand, Tobias, Müller, Dirk, Glowalla, Claudio, Rajaei, Nader, Burgkart, Rainer, Haddadin, Sami
Safety for physical human-robot interaction (pHRI) is a major concern for all application domains. While current standardization for industrial robot applications provide safety constraints that address the onset of pain in blunt impacts, these impac
Externí odkaz:
http://arxiv.org/abs/2408.06175
Autor:
Swetha, Sirnam, Yang, Jinyu, Neiman, Tal, Rizve, Mamshad Nayeem, Tran, Son, Yao, Benjamin, Chilimbi, Trishul, Shah, Mubarak
Recent advancements in Multimodal Large Language Models (MLLMs) have revolutionized the field of vision-language understanding by integrating visual perception capabilities into Large Language Models (LLMs). The prevailing trend in this field involve
Externí odkaz:
http://arxiv.org/abs/2407.13851
Autor:
Ding, Henghui, Liu, Chang, Wei, Yunchao, Ravi, Nikhila, He, Shuting, Bai, Song, Torr, Philip, Miao, Deshui, Li, Xin, He, Zhenyu, Wang, Yaowei, Yang, Ming-Hsuan, Xu, Zhensong, Yao, Jiangtao, Wu, Chengjing, Liu, Ting, Liu, Luoqi, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Jiao, Licheng, Yang, Shuyuan, Gao, Mingqi, Luo, Jingnan, Yang, Jinyu, Han, Jungong, Zheng, Feng, Cao, Bin, Zhang, Yisi, Lin, Xuanxu, He, Xingjian, Zhao, Bo, Liu, Jing, Pan, Feiyu, Fang, Hao, Lu, Xiankai
Pixel-level Video Understanding in the Wild Challenge (PVUW) focus on complex video understanding. In this CVPR 2024 workshop, we add two new tracks, Complex Video Object Segmentation Track based on MOSE dataset and Motion Expression guided Video Seg
Externí odkaz:
http://arxiv.org/abs/2406.17005
Motion Expression guided Video Segmentation (MeViS), as an emerging task, poses many new challenges to the field of referring video object segmentation (RVOS). In this technical report, we investigated and validated the effectiveness of static-domina
Externí odkaz:
http://arxiv.org/abs/2406.07043
Controllable video editing has demonstrated remarkable potential across diverse applications, particularly in scenarios where capturing or re-capturing real-world videos is either impractical or costly. This paper introduces a novel and efficient sys
Externí odkaz:
http://arxiv.org/abs/2402.14316
This study reviews the impact of personalization on human-robot interaction. Firstly, the various strategies used to achieve personalization are briefly described. Secondly, the effects of personalization known to date are discussed. They are present
Externí odkaz:
http://arxiv.org/abs/2401.11776
Recently, the Segment Anything Model (SAM) gains lots of attention rapidly due to its impressive segmentation performance on images. Regarding its strong ability on image segmentation and high interactivity with different prompts, we found that it pe
Externí odkaz:
http://arxiv.org/abs/2304.11968
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 42, Iss 4, Pp 43-51 (2024)
Trichloroacetic acid is a common nonvolatile byproduct of drinking water disinfection and poses carcinogenic risks to the human body. In this study, four types of nano-oxide@microcrystalline-cellulose-based adsorbents (P25@microcrystalline cellulose,
Externí odkaz:
https://doaj.org/article/d401d46742f24bea96c66a058bb001fb
