Zobrazeno 1 - 10
of 397
pro vyhledávání: '"Chen, Weiling"'
Autor:
Jiang, Xun, Li, Feng, Zhao, Han, Wang, Jiaying, Shao, Jun, Xu, Shihao, Zhang, Shu, Chen, Weiling, Tang, Xavier, Chen, Yize, Wu, Mengyue, Ma, Weizhi, Wang, Mengdi, Chen, Tianqiao
Large language models (LLMs) like GPTs, trained on vast datasets, have demonstrated impressive capabilities in language understanding, reasoning, and planning, achieving human-level performance in various tasks. Most studies focus on enhancing these
Externí odkaz:
http://arxiv.org/abs/2410.15665
Semi-supervised 3D object detection is a promising yet under-explored direction to reduce data annotation costs, especially for cluttered indoor scenes. A few prior works, such as SESS and 3DIoUMatch, attempt to solve this task by utilizing a teacher
Externí odkaz:
http://arxiv.org/abs/2401.05011
360$^\circ$ videos have received widespread attention due to its realistic and immersive experiences for users. To date, how to accurately model the user perceptions on 360$^\circ$ display is still a challenging issue. In this paper, we exploit the v
Externí odkaz:
http://arxiv.org/abs/2303.03703
To assist underwater object detection for better performance, image enhancement technology is often used as a pre-processing step. However, most of the existing enhancement methods tend to pursue the visual quality of an image, instead of providing e
Externí odkaz:
http://arxiv.org/abs/2302.02553
Compressed videos often exhibit visually annoying artifacts, known as Perceivable Encoding Artifacts (PEAs), which dramatically degrade video visual quality. Subjective and objective measures capable of identifying and quantifying various types of PE
Externí odkaz:
http://arxiv.org/abs/2301.01069
Snow removal aims to locate snow areas and recover clean images without repairing traces. Unlike the regularity and semitransparency of rain, snow with various patterns and degradations seriously occludes the background. As a result, the state-of-the
Externí odkaz:
http://arxiv.org/abs/2210.04787
Due to complex and volatile lighting environment, underwater imaging can be readily impaired by light scattering, warping, and noises. To improve the visual quality, Underwater Image Enhancement (UIE) techniques have been widely studied. Recent effor
Externí odkaz:
http://arxiv.org/abs/2205.09392
In the video coding process, the perceived quality of a compressed video is evaluated by full-reference quality evaluation metrics. However, it is difficult to obtain reference videos with perfect quality. To solve this problem, it is critical to des
Externí odkaz:
http://arxiv.org/abs/2205.03630
The image Super-Resolution (SR) technique has greatly improved the visual quality of images by enhancing their resolutions. It also calls for an efficient SR Image Quality Assessment (SR-IQA) to evaluate those algorithms or their generated images. In
Externí odkaz:
http://arxiv.org/abs/2205.03584
The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue. For user enjoyment in multimedia systems, the IQA exploits image fidel
Externí odkaz:
http://arxiv.org/abs/2205.03574