Zobrazeno 1 - 10
of 8 870
pro vyhledávání: '"Ju, Chen"'
Autor:
Ju, Chen, Wang, Haicheng, Cheng, Haozhe, Chen, Xu, Zhai, Zhonghua, Huang, Weilin, Lan, Jinsong, Xiao, Shuai, Zheng, Bo
Vision-Language Large Models (VLMs) recently become primary backbone of AI, due to the impressive performance. However, their expensive computation costs, i.e., throughput and delay, impede potentials in the real-world scenarios. To achieve accelerat
Externí odkaz:
http://arxiv.org/abs/2407.11717
In this work, we propose Cell Variational Information Bottleneck Network (cellVIB), a convolutional neural network using information bottleneck mechanism, which can be combined with the latest feedforward network architecture in an end-to-end trainin
Externí odkaz:
http://arxiv.org/abs/2403.15082
This paper introduces a novel framework for virtual try-on, termed Wear-Any-Way. Different from previous methods, Wear-Any-Way is a customizable solution. Besides generating high-fidelity results, our method supports users to precisely manipulate the
Externí odkaz:
http://arxiv.org/abs/2403.12965
Audio-visual segmentation (AVS) aims to segment the sounding objects in video frames. Although great progress has been witnessed, we experimentally reveal that current methods reach marginal performance gain within the use of the unlabeled frames, le
Externí odkaz:
http://arxiv.org/abs/2403.11074
Vision-Language Large Models (VLMs) have become primary backbone of AI, due to the impressive performance. However, their expensive computation costs, i.e., throughput and delay, impede potentials in real-world scenarios. To achieve acceleration for
Externí odkaz:
http://arxiv.org/abs/2312.07408
Autor:
Chen, Xu, Cheng, Zida, Yao, Jiangchao, Ju, Chen, Huang, Weilin, Lan, Jinsong, Zeng, Xiaoyi, Xiao, Shuai
Cross-domain CTR (CDCTR) prediction is an important research topic that studies how to leverage meaningful data from a related domain to help CTR prediction in target domain. Most existing CDCTR works design implicit ways to transfer knowledge across
Externí odkaz:
http://arxiv.org/abs/2312.00078
Open-vocabulary semantic segmentation is a challenging task that requires segmenting novel object categories at inference time. Recent studies have explored vision-language pre-training to handle this task, but suffer from unrealistic assumptions in
Externí odkaz:
http://arxiv.org/abs/2309.00096
Autor:
Hsin-Tien Ho, Yu-Lueng Shih, Tien-Yu Huang, Wen-Hui Fang, Chang-Hsien Liu, Jung-Chun Lin, Chih-Weim Hsiang, Kai-Min Chu, Cheng-Huei Hsiong, Guan-Ju Chen, Yung-En Wu, Jia-Yu Hao, Chih-Wen Liang, Oliver Yoa-Pu Hu
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-18 (2024)
Abstract Background Metabolic dysfunction-associated steatohepatitis (MASH) is a growing global health concern with no effective pharmacological treatments. SNP-630, a newly developed synthetic molecule with multiple mechanisms of action, and a mixtu
Externí odkaz:
https://doaj.org/article/ad7cb6c293e94ec0b686dbf6198ffa4d
Autor:
Huai-Cheng Huang, Yen-Lin Huang, Yi-Ju Chen, Hsin-Yi Wu, Chia-Lang Hsu, Hsiang-Fong Kao, Bin-Chi Liao, Min-Shu Hsieh, Neng-Yu Lin, Yu-Hao Liao, Hsin-Lin Chen, Chun-Nan Chen, Tseng-Cheng Chen, Cheng-Ping Wang, Tsung-Lin Yang, Min-Chuan Huang, Mei-Chun Lin, Pei-Jen Lou
Publikováno v:
Oncogenesis, Vol 13, Iss 1, Pp 1-10 (2024)
Abstract Immunotherapy has revolutionized cancer treatment, but the lack of a reliable predictive biomarker for treatment response remains a challenge. Alpha-1,6-Mannosylglycoprotein 6-β-N-Acetylglucosaminyltransferase 5 (MGAT5) is a key regulator o
Externí odkaz:
https://doaj.org/article/70de69921c8547aeb318aa0db5ded965
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 10, Pp 1763-1771 (2024)
AIM: To develop an automated model for subfoveal choroidal thickness (SFCT) detection in optical coherence tomography (OCT) images, addressing manual fovea location and choroidal contour challenges. METHODS: Two procedures were proposed: defining the
Externí odkaz:
https://doaj.org/article/8a14edd305454ceea1a3b71c1c811997