Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Sun, Muyi"'
Pest infestations pose a significant risk to both the quality and quantity of stored grain, resulting in substantial economic losses. Accurate and timely pest monitoring is essential, but traditional methods are time-consuming and labor-intensive, an
Externí odkaz:
http://arxiv.org/abs/2409.07483
Autor:
Yuan, Kun, Liu, Hongbo, Li, Mading, Sun, Muyi, Sun, Ming, Gong, Jiachao, Hao, Jinhua, Zhou, Chao, Tang, Yansong
Video quality assessment (VQA) is a challenging problem due to the numerous factors that can affect the perceptual quality of a video, \eg, content attractiveness, distortion type, motion pattern, and level. However, annotating the Mean opinion score
Externí odkaz:
http://arxiv.org/abs/2405.17765
Publikováno v:
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Vision-language pre-trained models have achieved impressive performance on various downstream tasks. However, their large model sizes hinder their utilization on platforms with limited computational resources. We find that directly using smaller pre-
Externí odkaz:
http://arxiv.org/abs/2403.07839
Predicting natural and diverse 3D hand gestures from the upper body dynamics is a practical yet challenging task in virtual avatar creation. Previous works usually overlook the asymmetric motions between two hands and generate two hands in a holistic
Externí odkaz:
http://arxiv.org/abs/2303.01765
Autor:
Zhang, Kaiduo, Sun, Muyi, Sun, Jianxin, Zhao, Binghao, Zhang, Kunbo, Sun, Zhenan, Tan, Tieniu
Text-driven person image generation is an emerging and challenging task in cross-modality image generation. Controllable person image generation promotes a wide range of applications such as digital human interaction and virtual try-on. However, prev
Externí odkaz:
http://arxiv.org/abs/2211.06235
In recent years, deep convolution neural networks (DCNNs) have achieved great prospects in coronary artery vessel segmentation. However, it is difficult to deploy complicated models in clinical scenarios since high-performance approaches have excessi
Externí odkaz:
http://arxiv.org/abs/2211.00899
Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks generally fail to achieve superior performance and suffer from poor g
Externí odkaz:
http://arxiv.org/abs/2207.12995
Face inpainting aims to complete the corrupted regions of the face images, which requires coordination between the completed areas and the non-corrupted areas. Recently, memory-oriented methods illustrate great prospects in the generation related tas
Externí odkaz:
http://arxiv.org/abs/2204.02824
Existing text-to-image synthesis methods generally are only applicable to words in the training dataset. However, human faces are so variable to be described with limited words. So this paper proposes the first free-style text-to-face method namely A
Externí odkaz:
http://arxiv.org/abs/2203.15334
Autor:
Zou, Wenxuan, Sun, Muyi
With the development of deep convolutional neural networks, medical image segmentation has achieved a series of breakthroughs in recent years. However, the high-performance convolutional neural networks always mean numerous parameters and high comput
Externí odkaz:
http://arxiv.org/abs/2203.08667