Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Nie, Weizhi"'
Generative Adversarial Networks (GANs) dominate the research field in image-based virtual try-on, but have not resolved problems such as unnatural deformation of garments and the blurry generation quality. While the generative quality of diffusion mo
Externí odkaz:
http://arxiv.org/abs/2311.18405
Autor:
Song, Dan, Fu, Xinwei, Liu, Ning, Nie, Weizhi, Li, Wenhui, Wang, Lanjun, Yang, You, Liu, Anan
Large-scale pre-trained models have demonstrated impressive performance in vision and language tasks within open-world scenarios. Due to the lack of comparable pre-trained models for 3D shapes, recent methods utilize language-image pre-training to re
Externí odkaz:
http://arxiv.org/abs/2311.18402
Autor:
Song, Dan, Zhang, Xuanpu, Zhou, Juan, Nie, Weizhi, Tong, Ruofeng, Kankanhalli, Mohan, Liu, An-An
Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image generation, showing both research significance and commercial potentia
Externí odkaz:
http://arxiv.org/abs/2311.04811
Social platforms such as Twitter are under siege from a multitude of fraudulent users. In response, social bot detection tasks have been developed to identify such fake users. Due to the structure of social networks, the majority of methods are based
Externí odkaz:
http://arxiv.org/abs/2310.07159
Emotion detection is a critical technology extensively employed in diverse fields. While the incorporation of commonsense knowledge has proven beneficial for existing emotion detection methods, dialogue-based emotion detection encounters numerous dif
Externí odkaz:
http://arxiv.org/abs/2309.06928
With the development of deep learning techniques, supervised learning has achieved performances surpassing those of humans. Researchers have designed numerous corresponding models for different data modalities, achieving excellent results in supervis
Externí odkaz:
http://arxiv.org/abs/2308.13801
In modern industries, fault diagnosis has been widely applied with the goal of realizing predictive maintenance. The key issue for the fault diagnosis system is to extract representative characteristics of the fault signal and then accurately predict
Externí odkaz:
http://arxiv.org/abs/2308.03027
In recent years, medical information technology has made it possible for electronic health record (EHR) to store fairly complete clinical data. This has brought health care into the era of "big data". However, medical data are often sparse and strong
Externí odkaz:
http://arxiv.org/abs/2306.01970
The chest X-ray is often utilized for diagnosing common thoracic diseases. In recent years, many approaches have been proposed to handle the problem of automatic diagnosis based on chest X-rays. However, the scarcity of labeled data for related disea
Externí odkaz:
http://arxiv.org/abs/2306.01232
Point cloud completion aims to recover raw point clouds captured by scanners from partial observations caused by occlusion and limited view angles. This makes it hard to recover details because the global feature is unlikely to capture the full detai
Externí odkaz:
http://arxiv.org/abs/2305.17770