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pro vyhledávání: '"WANG Xijun"'
Autor:
Wan Chunlei, Wang Xijun, Liu Hongda, Zhang Qingyu, Yan Guangli, Li Zhineng, Fang Heng, Sun Hui
Publikováno v:
Open Chemistry, Vol 21, Iss 1, Pp 113586-9 (2023)
The fruit of Acanthopanax senticosus (Rupr. and Maxim.) has been newly developed for the treatment of blood deficiency syndrome clinically, but the effective constituents are still unclear, restricting its quality control and the new medicinal develo
Externí odkaz:
https://doaj.org/article/c688650c05d34362a3a0f72d0cad3efb
Autor:
Qin, Yiran, Shi, Zhelun, Yu, Jiwen, Wang, Xijun, Zhou, Enshen, Li, Lijun, Yin, Zhenfei, Liu, Xihui, Sheng, Lu, Shao, Jing, Bai, Lei, Ouyang, Wanli, Zhang, Ruimao
Recent advancements in predictive models have demonstrated exceptional capabilities in predicting the future state of objects and scenes. However, the lack of categorization based on inherent characteristics continues to hinder the progress of predic
Externí odkaz:
http://arxiv.org/abs/2410.18072
We introduce SOAR, a novel Self-supervised pretraining algorithm for aerial footage captured by Unmanned Aerial Vehicles (UAVs). We incorporate human object knowledge throughout the pretraining process to enhance UAV video pretraining efficiency and
Externí odkaz:
http://arxiv.org/abs/2409.18300
Image semantic communication (ISC) has garnered significant attention for its potential to achieve high efficiency in visual content transmission. However, existing ISC systems based on joint source-channel coding face challenges in interpretability,
Externí odkaz:
http://arxiv.org/abs/2408.03806
Autor:
Wu, Xiyang, Guan, Tianrui, Li, Dianqi, Huang, Shuaiyi, Liu, Xiaoyu, Wang, Xijun, Xian, Ruiqi, Shrivastava, Abhinav, Huang, Furong, Boyd-Graber, Jordan Lee, Zhou, Tianyi, Manocha, Dinesh
Large vision-language models (LVLMs) are prone to hallucinations, where certain contextual cues in an image can trigger the language module to produce overconfident and incorrect reasoning about abnormal or hypothetical objects. While some benchmarks
Externí odkaz:
http://arxiv.org/abs/2406.10900
In trajectory forecasting tasks for traffic, future output trajectories can be computed by advancing the ego vehicle's state with predicted actions according to a kinematics model. By unrolling predicted trajectories via time integration and models o
Externí odkaz:
http://arxiv.org/abs/2406.01431
Autor:
Guan, Tianrui, Xian, Ruiqi, Wang, Xijun, Wu, Xiyang, Elnoor, Mohamed, Song, Daeun, Manocha, Dinesh
We present AGL-NET, a novel learning-based method for global localization using LiDAR point clouds and satellite maps. AGL-NET tackles two critical challenges: bridging the representation gap between image and points modalities for robust feature mat
Externí odkaz:
http://arxiv.org/abs/2404.03187
Autor:
Wang, Xijun, López-Tapia, Santiago, Lucas, Alice, Wu, Xinyi, Molina, Rafael, Katsaggelos, Aggelos K.
Generative Adversarial Networks (GANs) have shown great performance on super-resolution problems since they can generate more visually realistic images and video frames. However, these models often introduce side effects into the outputs, such as une
Externí odkaz:
http://arxiv.org/abs/2403.10589
Publikováno v:
Chin.Phys.C 48 (2024) 6,063001
The chi_c0(3915) was observed firstly by the Belle experiment in the omega J/psi invariant mass spectrum in the process B -> K omegaJ/psi, and then confirmed by the Babar experiment. The two experiments reported the resonant parameters of this partic
Externí odkaz:
http://arxiv.org/abs/2403.01017
Atmospheric turbulence, a common phenomenon in daily life, is primarily caused by the uneven heating of the Earth's surface. This phenomenon results in distorted and blurred acquired images or videos and can significantly impact downstream vision tas
Externí odkaz:
http://arxiv.org/abs/2402.07371