focusing on research in two principal aspects:KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, andMulti-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.
for visual reasoning tasks, different from the traditional sampling retention under the low frequency information, high frequency information is often contains the detail14 the outline of the object, especially for indoor RGB-D image segmentation, noise, depth and other effects exist in different scale...
and the first job of the tutors is to reveal that what you thought was true is only true for a given value of "truth". Most of us need just "enough" knowledge of the sciences, and it's delivered to us in metaphors and analogies that bite us in the bum if we think they're the...
Bayesian Networks (BNs) is a subclass of PGMs that can add prior knowledge (such as distributions of the input) or encode the domain knowledge to improve the learning or training phases. In BNs, edge directions are often interpreted as causal relationships or information flow, allowing for effic...
for visual reasoning tasks, different from the traditional sampling retention under the low frequency information, high frequency information is often contains the detail14 the outline of the object, especially for indoor RGB-D image segmentation, noise, depth and other effects exist in different ...
doi:10.1007/S00701-021-04956-3Juho VehvilinenMarkus B. SkrifvarsMatti ReinikainenStepani BendelIvan MarinkovicTero Ala-KokkoSanna HoppuRuut LaitioJari SiironenRahul RajSpringer Vienna
This approach facilitates the rapid collection of complete knowledge and rules to form effective decisions. However, the current structured degree of the URT emergency knowledge base remains low, and the domain questions lack labeled datasets, resulting in a large deviation between the consultation ...
for visual reasoning tasks, different from the traditional sampling retention under the low frequency information, high frequency information is often contains the detail14 the outline of the object, especially for indoor RGB-D image segmentation, noise, depth and other effects exist in different ...
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics.Preprint Ruilin Luo, Zhuofan Zheng, Yifan Wang, Yiyao Yu, Xinzhe Ni, Zicheng Lin, Jin Zeng, Yujiu Yang.[Paper], 2025.1 Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation....
This uni-dimensional measure consists of 13 items that assess high-level walking tasks, the ability to negotiate stairs, run, skip, hop and bound. This tool is used in both clinical and research settings. The test has reported high inter-rater (ICC = 0.99), test-retest reliability (ICC =...