Zobrazeno 1 - 10
of 888
pro vyhledávání: '"Shi, Junjie"'
Incomplete multi-modal image segmentation is a fundamental task in medical imaging to refine deployment efficiency when only partial modalities are available. However, the common practice that complete-modality data is visible during model training i
Externí odkaz:
http://arxiv.org/abs/2407.14796
Cross-silo federated learning (FL) enables decentralized organizations to collaboratively train models while preserving data privacy and has made significant progress in medical image classification. One common assumption is task homogeneity where ea
Externí odkaz:
http://arxiv.org/abs/2406.18995
Autor:
Hussain, Mumtaz, Shi, Junjie
The Jarn\'ik-Besicovitch theorem is a fundamental result in metric number theory which gives the Hausdorff dimension for limsup sets. We investigate a related problem of estimating the Hausdorff dimension of a liminf set. Let $h>0, \tau\geq 1$, and f
Externí odkaz:
http://arxiv.org/abs/2302.10379
Autor:
Baier, Sina, Damsgaard, Christian D., Scholz, Maria, Benzi, Federico, Rochet, Amélie, Hoppe, Robert, Scherer, Torsten, Shi, Junjie, Wittstock, Arne, Weinhausen, Britta, Wagner, Jakob B., Schroer, Christian G., Grunwaldt, Jan-Dierk
A new closed cell is presented for in situ X-ray ptychography which allows studies under gas flow and at elevated temperature. In order to gain complementary information by transmission and scanning electron microscopy, the cell makes use of a Protoc
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A70694
https://tud.qucosa.de/api/qucosa%3A70694/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A70694/attachment/ATT-0/
Autor:
Zhu, Yin, Kong, Qiuqiang, Shi, Junjie, Liu, Shilei, Ye, Xuzhou, Wang, Ju-chiang, Zhang, Junping
Binaural rendering of ambisonic signals is of broad interest to virtual reality and immersive media. Conventional methods often require manually measured Head-Related Transfer Functions (HRTFs). To address this issue, we collect a paired ambisonic-bi
Externí odkaz:
http://arxiv.org/abs/2211.02301
Autor:
Kong, Qiuqiang, Liu, Shilei, Shi, Junjie, Ye, Xuzhou, Cao, Yin, Zhu, Qiaoxi, Xu, Yong, Wang, Yuxuan
Sound field decomposition predicts waveforms in arbitrary directions using signals from a limited number of microphones as inputs. Sound field decomposition is fundamental to downstream tasks, including source localization, source separation, and spa
Externí odkaz:
http://arxiv.org/abs/2210.12345
Autor:
Shi, Junjie1,2,3 (AUTHOR), Peng, Lihua3 (AUTHOR) 379497418@qq.com, Chen, Weixuan3 (AUTHOR), Qiao, Weilin3 (AUTHOR) weilin_qiao@126.com, Wang, Kui1,2 (AUTHOR), Xu, Yueyang1,2,3 (AUTHOR), Cheng, Jinle3 (AUTHOR)
Publikováno v:
Food Science & Nutrition. Jul2024, Vol. 12 Issue 7, p5036-5051. 16p.
Publikováno v:
In Ceramics International 1 July 2024 50(13) Part B:23721-23732
Publikováno v:
In Calphad June 2024 85
Publikováno v:
In Materials Today Communications June 2024 39