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pro vyhledávání: '"Wang, Haolin"'
Autor:
Wang, Haolin, Ou, Yafei, Ambalathankandy, Prasoon, Ota, Gen, Dai, Pengyu, Ikebe, Masayuki, Suzuki, Kenji, Kamishima, Tamotsu
Conventional radiography is the widely used imaging technology in diagnosing, monitoring, and prognosticating musculoskeletal (MSK) diseases because of its easy availability, versatility, and cost-effectiveness. In conventional radiographs, bone over
Externí odkaz:
http://arxiv.org/abs/2409.07304
Diffusion probabilistic models (DPMs) have shown remarkable performance in visual synthesis but are computationally expensive due to the need for multiple evaluations during the sampling. Recent predictor-corrector diffusion samplers have significant
Externí odkaz:
http://arxiv.org/abs/2409.03755
To address data heterogeneity, the key strategy of Personalized Federated Learning (PFL) is to decouple general knowledge (shared among clients) and client-specific knowledge, as the latter can have a negative impact on collaboration if not removed.
Externí odkaz:
http://arxiv.org/abs/2406.19931
Diffusion models have shown superior performance on unsupervised anomaly detection tasks. Since trained with normal data only, diffusion models tend to reconstruct normal counterparts of test images with certain noises added. However, these methods t
Externí odkaz:
http://arxiv.org/abs/2406.07487
Lateralization is a fundamental feature of the human brain, where sex differences have been observed. Conventional studies in neuroscience on sex-specific lateralization are typically conducted on univariate statistical comparisons between male and f
Externí odkaz:
http://arxiv.org/abs/2404.05781
Autor:
Li, Yuanze, Wang, Haolin, Yuan, Shihao, Liu, Ming, Zhao, Debin, Guo, Yiwen, Xu, Chen, Shi, Guangming, Zuo, Wangmeng
Existing industrial anomaly detection (IAD) methods predict anomaly scores for both anomaly detection and localization. However, they struggle to perform a multi-turn dialog and detailed descriptions for anomaly regions, e.g., color, shape, and categ
Externí odkaz:
http://arxiv.org/abs/2310.19070
Federated learning (FL) is a new paradigm for distributed machine learning that allows a global model to be trained across multiple clients without compromising their privacy. Although FL has demonstrated remarkable success in various scenarios, rece
Externí odkaz:
http://arxiv.org/abs/2306.02701
Autor:
Wang, Haolin, Ou, Yafei, Fang, Wanxuan, Ambalathankandy, Prasoon, Goto, Naoto, Ota, Gen, Ikebe, Masayuki, Kamishima, Tamotsu
Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that results in progressive articular destruction and severe disability. Joint space narrowing (JSN) progression has been regarded as an important indicator for RA progression and
Externí odkaz:
http://arxiv.org/abs/2304.13938
Image retouching, aiming to regenerate the visually pleasing renditions of given images, is a subjective task where the users are with different aesthetic sensations. Most existing methods deploy a deterministic model to learn the retouching style fr
Externí odkaz:
http://arxiv.org/abs/2207.05430
Autor:
Wang, Haolin, Guan, Xu, Li, Jiao, Peng, Yanbo, Wang, Guoqiang, Zhang, Qingzhu, Li, Tianshuai, Wang, Xinfeng, Meng, Qingpeng, Chen, Jiaqi, Zhao, Min, Wang, Qiao
Publikováno v:
In Science of the Total Environment 20 October 2024 948