Zobrazeno 1 - 10
of 27 289
pro vyhledávání: '"Yumin An"'
Autor:
Zhenhe Jia, Yuehua Li, Weijie Hou, Libin Zang, Qiang Han, Baoshan Zhao, Bin Gao, Haiteng Liu, Yuhan Chen, Yumin An, Huibo Zhang
Publikováno v:
Actuators, Vol 13, Iss 9, p 361 (2024)
A high-precision ground microgravity simulation environment serves as the prerequisite and key to studying landing dynamics in microgravity environments. However, the microgravity level accuracy in traditional ground simulation tests is difficult to
Externí odkaz:
https://doaj.org/article/fffd9481644a468f93fb7d655b5a2c6d
Reducing scan time in Positron Emission Tomography (PET) imaging while maintaining high-quality images is crucial for minimizing patient discomfort and radiation exposure. Due to the limited size of datasets and distribution discrepancy across scanne
Externí odkaz:
http://arxiv.org/abs/2407.07517
Autor:
Reber, James Marshall, Shen, Yumin
Using the quotient bundle introduced by Wojtkowski, we give necessary and sufficient conditions for a magnetic flow on a closed, oriented surface to be Anosov.
Externí odkaz:
http://arxiv.org/abs/2406.18735
Few-shot medical image segmentation has achieved great progress in improving accuracy and efficiency of medical analysis in the biomedical imaging field. However, most existing methods cannot explore inter-class relations among base and novel medical
Externí odkaz:
http://arxiv.org/abs/2406.05054
Text-to-3D content creation is a rapidly evolving research area. Given the scarcity of 3D data, current approaches often adapt pre-trained 2D diffusion models for 3D synthesis. Among these approaches, Score Distillation Sampling (SDS) has been widely
Externí odkaz:
http://arxiv.org/abs/2405.15914
This study proposes a framework for enhancing the stroke quality of badminton players by generating personalized motion guides, utilizing a multimodal wearable dataset. These guides are based on counterfactual algorithms and aim to reduce the perform
Externí odkaz:
http://arxiv.org/abs/2405.11802
Autor:
Sun, Rui, Zhang, Yumin, Shah, Tejal, Sun, Jiahao, Zhang, Shuoying, Li, Wenqi, Duan, Haoran, Wei, Bo, Ranjan, Rajiv
With impressive achievements made, artificial intelligence is on the path forward to artificial general intelligence. Sora, developed by OpenAI, which is capable of minute-level world-simulative abilities can be considered as a milestone on this deve
Externí odkaz:
http://arxiv.org/abs/2405.10674
Autor:
Zhou, Chenlin, Zhang, Han, Yu, Liutao, Ye, Yumin, Zhou, Zhaokun, Huang, Liwei, Ma, Zhengyu, Fan, Xiaopeng, Zhou, Huihui, Tian, Yonghong
Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and event-driven computation. The direct training alg
Externí odkaz:
http://arxiv.org/abs/2405.04289
Autor:
Yao, Manyi, Aich, Abhishek, Suh, Yumin, Roy-Chowdhury, Amit, Shelton, Christian, Chandraker, Manmohan
Vision transformer based models bring significant improvements for image segmentation tasks. Although these architectures offer powerful capabilities irrespective of specific segmentation tasks, their use of computational resources can be taxing on d
Externí odkaz:
http://arxiv.org/abs/2404.15244
A powerful architecture for universal segmentation relies on transformers that encode multi-scale image features and decode object queries into mask predictions. With efficiency being a high priority for scaling such models, we observed that the stat
Externí odkaz:
http://arxiv.org/abs/2404.14657