Kavli Affiliate: Zheng Zhu | First 5 Authors: Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou | Summary: 3D scene understanding plays a vital role in vision-based autonomous driving. While most existing methods focus on 3D object detection, they have difficulty describing real-world objects of arbitrary shapes and infinite classes. Towards a more […]
Kavli Affiliate: Cheng Peng | Authors: Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu | Summary: Objective: To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good generalizability for cross-institution applications. Methods: We […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Wenjie Yuan, Yunpeng Zhang, Tian Yang, Chenming Zhang | Summary: Depth estimation has been widely studied and serves as the fundamental step of 3D perception for intelligent vehicles. Though significant progress has been made in monocular depth estimation in the past decades, these attempts are […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqun Duan, Xianda Guo, Zheng Zhu, , | Summary: Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. Current methods typically model this problem as a regression or classification task. We propose DiffusionDepth, a new approach that reformulates monocular […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqun Duan, Xianda Guo, Zheng Zhu, , | Summary: Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. Current methods typically model this problem as a regression or classification task. We propose DiffusionDepth, a new approach that reformulates monocular […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang | Summary: Dataset distillation reduces the network training cost by synthesizing small and informative datasets from large-scale ones. Despite the success of the recent dataset distillation algorithms, three drawbacks still limit their wider application: i). the synthetic […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Kota Fukuzawa, Takeo Kato, Mamoru Matsuo, Thibaut Jonckheere, Jérôme Rech | Summary: We theoretically study spin pumping from a ferromagnetic insulator (FI) into a carbon nanotube (CNT). By employing the bosonization method, we formulate the Gilbert damping induced by the FI/CNT junction, which can be measured by […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang | Summary: Dataset distillation aims to synthesize small datasets with little information loss from original large-scale ones for reducing storage and training costs. Recent state-of-the-art methods mainly constrain the sample synthesis process by matching synthetic images and […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Wang, Yi Zhou, , , | Summary: Wei-Yue Ding cite{Ding 2002} proposeed a proposition about Schr"odinger map flow in 2002 International Congress of Mathematicians in Beijing, which is called Wei-Yue Ding conjecture by Rodnianski-Rubinstein-Staffilani cite{Rodnianski 2009}. They proved cite{Rodnianski 2009} that Schr"odinger map flow for maps […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Wang, Yi Zhou, , , | Summary: Wei-Yue Ding cite{Ding 2002} proposeed a proposition about Schr"odinger map flow in 2002 International Congress of Mathematicians in Beijing, which is called Wei-Yue Ding conjecture by Rodnianski-Rubinstein-Staffilani cite{Rodnianski 2009}. They proved cite{Rodnianski 2009} that Schr"odinger map flow for maps […]