Zobrazeno 1 - 10
of 25 625
pro vyhledávání: '"Liu,Yun"'
This paper presents a robotic in-hand manipulation technique that can be applied to pick an object too large to grasp in a prehensile manner, by taking advantage of its contact interactions with a curved, passive end-effector, and two flat support su
Externí odkaz:
http://arxiv.org/abs/2411.16055
Autor:
Kiraly, Atilla P., Baur, Sebastien, Philbrick, Kenneth, Mahvar, Fereshteh, Yatziv, Liron, Chen, Tiffany, Sterling, Bram, George, Nick, Jamil, Fayaz, Tang, Jing, Bailey, Kai, Ahmed, Faruk, Goel, Akshay, Ward, Abbi, Yang, Lin, Sellergren, Andrew, Matias, Yossi, Hassidim, Avinatan, Shetty, Shravya, Golden, Daniel, Azizi, Shekoofeh, Steiner, David F., Liu, Yun, Thelin, Tim, Pilgrim, Rory, Kirmizibayrak, Can
Robust medical Machine Learning (ML) models have the potential to revolutionize healthcare by accelerating clinical research, improving workflows and outcomes, and producing novel insights or capabilities. Developing such ML models from scratch is co
Externí odkaz:
http://arxiv.org/abs/2411.15128
Autor:
Agarwal, Mohit, Sun, Mimi, Kamath, Chaitanya, Muslim, Arbaaz, Sarker, Prithul, Paul, Joydeep, Yee, Hector, Sieniek, Marcin, Jablonski, Kim, Mayer, Yael, Fork, David, de Guia, Sheila, McPike, Jamie, Boulanger, Adam, Shekel, Tomer, Schottlander, David, Xiao, Yao, Manukonda, Manjit Chakravarthy, Liu, Yun, Bulut, Neslihan, Abu-el-haija, Sami, Eigenwillig, Arno, Kothari, Parth, Perozzi, Bryan, Bharel, Monica, Nguyen, Von, Barrington, Luke, Efron, Niv, Matias, Yossi, Corrado, Greg, Eswaran, Krish, Prabhakara, Shruthi, Shetty, Shravya, Prasad, Gautam
Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex relationships between human behavior and local contexts in order to ident
Externí odkaz:
http://arxiv.org/abs/2411.07207
Autor:
Liu, Yun, Li, Peng, Yan, Xuefeng, Nan, Liangliang, Wang, Bing, Chen, Honghua, Gong, Lina, Zhao, Wei, Wei, Mingqiang
The core of self-supervised point cloud learning lies in setting up appropriate pretext tasks, to construct a pre-training framework that enables the encoder to perceive 3D objects effectively. In this paper, we integrate two prevalent methods, maske
Externí odkaz:
http://arxiv.org/abs/2411.06041
Autor:
Yue, Linzhu, Song, Zhitao, Dong, Jinhu, Li, Zhongyu, Zhang, Hongbo, Zhang, Lingwei, Zeng, Xuanqi, Sreenath, Koushil, Liu, Yun-hui
Natural terrain complexity often necessitates agile movements like jumping in animals to improve traversal efficiency. To enable similar capabilities in quadruped robots, complex real-time jumping maneuvers are required. Current research does not ade
Externí odkaz:
http://arxiv.org/abs/2411.04494
Autor:
An, Zhaochong, Sun, Guolei, Liu, Yun, Li, Runjia, Wu, Min, Cheng, Ming-Ming, Konukoglu, Ender, Belongie, Serge
Few-shot 3D point cloud segmentation (FS-PCS) aims at generalizing models to segment novel categories with minimal annotated support samples. While existing FS-PCS methods have shown promise, they primarily focus on unimodal point cloud inputs, overl
Externí odkaz:
http://arxiv.org/abs/2410.22489
Autor:
Xiong, Qi, Gong, Yan, Zhou, Xingchen, Lin, Hengjie, Deng, Furen, Li, Ziwei, Ibitoye, Ayodeji, Chen, Xuelei, Fan, Zuhui, Guo, Qi, Li, Ming, Liu, Yun, Pei, Wenxiang
We explore the joint weak lensing and galaxy clustering analysis from the photometric survey operated by the China Space Station Telescope (CSST), and study the strength of the cosmological constraints. We employ a high-resolution JiuTian-1G simulati
Externí odkaz:
http://arxiv.org/abs/2410.19388
Autor:
Narayanswamy, Girish, Liu, Xin, Ayush, Kumar, Yang, Yuzhe, Xu, Xuhai, Liao, Shun, Garrison, Jake, Tailor, Shyam, Sunshine, Jake, Liu, Yun, Althoff, Tim, Narayanan, Shrikanth, Kohli, Pushmeet, Zhan, Jiening, Malhotra, Mark, Patel, Shwetak, Abdel-Ghaffar, Samy, McDuff, Daniel
Wearable sensors have become ubiquitous thanks to a variety of health tracking features. The resulting continuous and longitudinal measurements from everyday life generate large volumes of data; however, making sense of these observations for scienti
Externí odkaz:
http://arxiv.org/abs/2410.13638
Autor:
Zhang, Hongbo, Li, Zhongyu, Zeng, Xuanqi, Smith, Laura, Stachowicz, Kyle, Shah, Dhruv, Yue, Linzhu, Song, Zhitao, Xia, Weipeng, Levine, Sergey, Sreenath, Koushil, Liu, Yun-hui
The enhanced mobility brought by legged locomotion empowers quadrupedal robots to navigate through complex and unstructured environments. However, optimizing agile locomotion while accounting for the varying energy costs of traversing different terra
Externí odkaz:
http://arxiv.org/abs/2410.10621
Autor:
Song, Yingxiao, Gong, Yan, Xiong, Qi, Chan, Kwan Chuen, Chen, Xuelei, Guo, Qi, Liu, Yun, Pei, Wenxiang
Cosmic void has been proven to be an effective cosmological probe of the large-scale structure (LSS). However, since voids are usually identified in spectroscopic galaxy surveys, they are generally limited to low number density and redshift. We propo
Externí odkaz:
http://arxiv.org/abs/2410.04898