Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Lu Yawen"'
Autor:
Zhao Jinyu, Yue Ping, Mi Ningning, Li Matu, Fu Wenkang, Zhang Xianzhuo, Gao Long, Bai Mingzhen, Tian Liang, Jiang Ningzu, Lu Yawen, Ma Haidong, Dong Chunlu, Zhang Yong, Zhang Hengwei, Zhang Jinduo, Ren Yanxian, Suzuki Azumi, Wong Peng F., Tanaka Kiyohito, Rerknimitr Rungsun, Junger Henrik H., Cheung Tan T., Melloul Emmanuel, Demartines Nicolas, Leung Joseph W., Yao Jia, Yuan Jinqiu, Lin Yanyan, Schlitt Hans J., Meng Wenbo
Publikováno v:
Medical Review, Vol 4, Iss 4, Pp 326-365 (2024)
Fibrosis resulting from pathological repair secondary to recurrent or persistent tissue damage often leads to organ failure and mortality. Biliary fibrosis is a crucial but easily neglected pathological feature in hepatobiliary disorders, which may p
Externí odkaz:
https://doaj.org/article/f00ec880e3164f95b5225644f4d94ec7
Publikováno v:
Reviews on Advanced Materials Science, Vol 62, Iss 1, Pp pp. 250-257 (2023)
As rubber is a hyperelastic material, its nonlinear deformation behavior during aging is significantly influenced by various factors, including the material characteristics, demonstrating a significant uncertainty. Most of the existing uncertain pred
Externí odkaz:
https://doaj.org/article/c4c70a726ba247b19cc060671a53312a
Autor:
Lu, Yawen, Liu, Dongfang, Wang, Qifan, Han, Cheng, Cui, Yiming, Cao, Zhiwen, Zhang, Xueling, Chen, Yingjie Victor, Fan, Heng
In this work, we introduce ProMotion, a unified prototypical framework engineered to model fundamental motion tasks. ProMotion offers a range of compelling attributes that set it apart from current task-specific paradigms. We adopt a prototypical per
Externí odkaz:
http://arxiv.org/abs/2406.04999
Autor:
Han, Cheng, Lu, Yawen, Sun, Guohao, Liang, James C., Cao, Zhiwen, Wang, Qifan, Guan, Qiang, Dianat, Sohail A., Rao, Raghuveer M., Geng, Tong, Tao, Zhiqiang, Liu, Dongfang
In this work, we introduce the Prototypical Transformer (ProtoFormer), a general and unified framework that approaches various motion tasks from a prototype perspective. ProtoFormer seamlessly integrates prototype learning with Transformer by thought
Externí odkaz:
http://arxiv.org/abs/2406.01559
Robotic grippers are receiving increasing attention in various industries as essential components of robots for interacting and manipulating objects. While significant progress has been made in the past, conventional rigid grippers still have limitat
Externí odkaz:
http://arxiv.org/abs/2404.01170
In Virtual Reality (VR), adversarial attack remains a significant security threat. Most deep learning-based methods for physical and digital adversarial attacks focus on enhancing attack performance by crafting adversarial examples that contain large
Externí odkaz:
http://arxiv.org/abs/2403.14778
Autor:
Lu, Yawen, Sun, Zhuoyang, Shao, Jinyuan, Guo, Qianyu, Huang, Yunhan, Fei, Songlin, Chen, Yingjie
The popularity of LiDAR devices and sensor technology has gradually empowered users from autonomous driving to forest monitoring, and research on 3D LiDAR has made remarkable progress over the years. Unlike 2D images, whose focused area is visible an
Externí odkaz:
http://arxiv.org/abs/2402.04546
Forest monitoring and education are key to forest protection, education and management, which is an effective way to measure the progress of a country's forest and climate commitments. Due to the lack of a large-scale wild forest monitoring benchmark
Externí odkaz:
http://arxiv.org/abs/2402.04534
Autor:
Ling, Lu, Sheng, Yichen, Tu, Zhi, Zhao, Wentian, Xin, Cheng, Wan, Kun, Yu, Lantao, Guo, Qianyu, Yu, Zixun, Lu, Yawen, Li, Xuanmao, Sun, Xingpeng, Ashok, Rohan, Mukherjee, Aniruddha, Kang, Hao, Kong, Xiangrui, Hua, Gang, Zhang, Tianyi, Benes, Bedrich, Bera, Aniket
We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS). However, existing scene-level datasets for deep learnin
Externí odkaz:
http://arxiv.org/abs/2312.16256
Autor:
Lu, Yawen, Wang, Qifan, Ma, Siqi, Geng, Tong, Chen, Yingjie Victor, Chen, Huaijin, Liu, Dongfang
Optical flow is an indispensable building block for various important computer vision tasks, including motion estimation, object tracking, and disparity measurement. In this work, we propose TransFlow, a pure transformer architecture for optical flow
Externí odkaz:
http://arxiv.org/abs/2304.11523