Zobrazeno 1 - 10
of 1 139
pro vyhledávání: '"Chen Qijun"'
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 48, Iss 10, Pp 929-933 (2021)
Objective To use in vitro experiments to verify the changes of proliferation, senescence and apoptosis of hepatocellular carcinoma cells after inhibiting the expression of NEK7, and to explore the related molecular mechanism. Methods Western blot and
Externí odkaz:
https://doaj.org/article/f6393d777b2d4b9da477229f535e9fef
Stereo matching has emerged as a cost-effective solution for road surface 3D reconstruction, garnering significant attention towards improving both computational efficiency and accuracy. This article introduces decisive disparity diffusion (D3Stereo)
Externí odkaz:
http://arxiv.org/abs/2411.03717
Peridynamics is a non-local continuum mechanics theory that offers unique advantages for modeling problems involving discontinuities and complex deformations. Within the peridynamic framework, various formulations exist, among which the material corr
Externí odkaz:
http://arxiv.org/abs/2411.08911
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
Autor:
Zhu, Minghao, Wang, Zhengpu, Hu, Mengxian, Dang, Ronghao, Lin, Xiao, Zhou, Xun, Liu, Chengju, Chen, Qijun
Transferring visual-language knowledge from large-scale foundation models for video recognition has proved to be effective. To bridge the domain gap, additional parametric modules are added to capture the temporal information. However, zero-shot gene
Externí odkaz:
http://arxiv.org/abs/2410.10589
Task-specific data-fusion networks have marked considerable achievements in urban scene parsing. Among these networks, our recently proposed RoadFormer successfully extracts heterogeneous features from RGB images and surface normal maps and fuses the
Externí odkaz:
http://arxiv.org/abs/2407.21631
Facial video-based remote physiological measurement is a promising research area for detecting human vital signs (e.g., heart rate, respiration frequency) in a non-contact way. Conventional approaches are mostly supervised learning, requiring extensi
Externí odkaz:
http://arxiv.org/abs/2407.08507
Unsupervised monocular depth estimation frameworks have shown promising performance in autonomous driving. However, existing solutions primarily rely on a simple convolutional neural network for ego-motion recovery, which struggles to estimate precis
Externí odkaz:
http://arxiv.org/abs/2407.05283
Despite the remarkable developments of recent large models in Embodied Artificial Intelligence (E-AI), their integration into robotics is hampered by their excessive parameter sizes and computational demands. Towards the Vision-and-Language Navigatio
Externí odkaz:
http://arxiv.org/abs/2406.17960
Visual anomaly detection is vital in real-world applications, such as industrial defect detection and medical diagnosis. However, most existing methods focus on local structural anomalies and fail to detect higher-level functional anomalies under log
Externí odkaz:
http://arxiv.org/abs/2406.00625
There has been a recent surge of interest in learning to perceive depth from monocular videos in an unsupervised fashion. A key challenge in this field is achieving robust and accurate depth estimation in challenging scenarios, particularly in region
Externí odkaz:
http://arxiv.org/abs/2405.16960