Zobrazeno 1 - 10
of 462
pro vyhledávání: '"Shi Yifei"'
Autor:
Umar Muhammad, Qian Hui, Almujibah Hamad, Khan Muhammad Nasir Ayaz, Raza Ali, Manan Aneel, Shi Yifei, Ali Muhammad Faizan
Publikováno v:
Science and Engineering of Composite Materials, Vol 31, Iss 1, Pp 4122-51 (2024)
Externí odkaz:
https://doaj.org/article/026d3a9c97664f0db5a3e009a1d19c57
Autor:
Qu, Hao, Zhang, Lilian, Mao, Jun, Tie, Junbo, He, Xiaofeng, Hu, Xiaoping, Shi, Yifei, Chen, Changhao
The performance of visual SLAM in complex, real-world scenarios is often compromised by unreliable feature extraction and matching when using handcrafted features. Although deep learning-based local features excel at capturing high-level information
Externí odkaz:
http://arxiv.org/abs/2401.09160
It's challenging to balance the networks stability and plasticity in continual learning scenarios, considering stability suffers from the update of model and plasticity benefits from it. Existing works usually focus more on the stability and restrict
Externí odkaz:
http://arxiv.org/abs/2312.07082
Learning-based surface reconstruction based on unsigned distance functions (UDF) has many advantages such as handling open surfaces. We propose SuperUDF, a self-supervised UDF learning which exploits a learned geometry prior for efficient training an
Externí odkaz:
http://arxiv.org/abs/2308.14371
Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost volumes. Due to the high computation and memory consumption of 3D CNN, the resolution of output depth is often considerably limited. Different from most existing
Externí odkaz:
http://arxiv.org/abs/2307.10233
Multi-output deep neural networks(MONs) contain multiple task branches, and these tasks usually share partial network filters that lead to the entanglement of different task inference routes. Due to the inconsistent optimization objectives, the task
Externí odkaz:
http://arxiv.org/abs/2305.19844
Most learning-based approaches to category-level 6D pose estimation are design around normalized object coordinate space (NOCS). While being successful, NOCS-based methods become inaccurate and less robust when handling objects of a category containi
Externí odkaz:
http://arxiv.org/abs/2303.10346
Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost volumes. Due to the high computation and memory consumption of 3D CNN, the resolution of output depth is often considerably limited. Different from most existing
Externí odkaz:
http://arxiv.org/abs/2204.01320
Autor:
Jing, Hongquan, Shi, Yifei, Yuan, Yongqiang, Liu, Bingbing, Wang, Yanyu, Guan, Hongling, Gu, Shouyu, Wang, Menglai, Hou, Cuihong
Publikováno v:
In Journal of Solid State Chemistry October 2024 338
Publikováno v:
In Structures January 2025 71