Zobrazeno 1 - 10
of 4 223
pro vyhledávání: '"ZHOU, Han"'
Cinematic Virtual Reality (CVR) is a narrative-driven VR experience that uses head-mounted displays with a 360-degree field of view. Previous research has explored different viewing modalities to enhance viewers' CVR experience. This study conducted
Externí odkaz:
http://arxiv.org/abs/2411.15583
Exposure Correction (EC) aims to recover proper exposure conditions for images captured under over-exposure or under-exposure scenarios. While existing deep learning models have shown promising results, few have fully embedded Retinex theory into the
Externí odkaz:
http://arxiv.org/abs/2410.21535
The selective classifier (SC) has garnered increasing interest in areas such as medical diagnostics, autonomous driving, and the justice system. The Area Under the Risk-Coverage Curve (AURC) has emerged as the foremost evaluation metric for assessing
Externí odkaz:
http://arxiv.org/abs/2410.15361
Novel view synthesis of indoor scenes can be achieved by capturing a monocular video sequence of the environment. However, redundant information caused by artificial movements in the input video data reduces the efficiency of scene modeling. In this
Externí odkaz:
http://arxiv.org/abs/2409.07098
Autor:
Yu, Junxuan, Chen, Rusi, Zhou, Yongsong, Chen, Yanlin, Duan, Yaofei, Huang, Yuhao, Zhou, Han, Tao, Tan, Yang, Xin, Ni, Dong
Echocardiography video is a primary modality for diagnosing heart diseases, but the limited data poses challenges for both clinical teaching and machine learning training. Recently, video generative models have emerged as a promising strategy to alle
Externí odkaz:
http://arxiv.org/abs/2407.21490
The Segment Anything Model (SAM) can achieve satisfactory segmentation performance under high-quality box prompts. However, SAM's robustness is compromised by the decline in box quality, limiting its practicality in clinical reality. In this study, w
Externí odkaz:
http://arxiv.org/abs/2407.21284
Autor:
Zhou, Han, Dong, Wei, Liu, Xiaohong, Liu, Shuaicheng, Min, Xiongkuo, Zhai, Guangtao, Chen, Jun
Most existing Low-light Image Enhancement (LLIE) methods either directly map Low-Light (LL) to Normal-Light (NL) images or use semantic or illumination maps as guides. However, the ill-posed nature of LLIE and the difficulty of semantic retrieval fro
Externí odkaz:
http://arxiv.org/abs/2407.12431
Advanced cognition can be extracted from the human brain using brain-computer interfaces. Integrating these interfaces with computer vision techniques, which possess efficient feature extraction capabilities, can achieve more robust and accurate dete
Externí odkaz:
http://arxiv.org/abs/2407.01894
Echocardiography (ECHO) video is widely used for cardiac examination. In clinical, this procedure heavily relies on operator experience, which needs years of training and maybe the assistance of deep learning-based systems for enhanced accuracy and e
Externí odkaz:
http://arxiv.org/abs/2406.14098
Large language models (LLMs) have shown promising abilities as cost-effective and reference-free evaluators for assessing language generation quality. In particular, pairwise LLM evaluators, which compare two generated texts and determine the preferr
Externí odkaz:
http://arxiv.org/abs/2406.11370