Zobrazeno 1 - 10
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pro vyhledávání: '"XU, Jingyi"'
Arctic sea ice performs a vital role in global climate and has paramount impacts on both polar ecosystems and coastal communities. In the last few years, multiple deep learning based pan-Arctic sea ice concentration (SIC) forecasting methods have eme
Externí odkaz:
http://arxiv.org/abs/2410.14732
Autor:
Xu, Jingyi, Tu, Siwei, Yang, Weidong, Li, Shuhao, Liu, Keyi, Luo, Yeqi, Ma, Lipeng, Fei, Ben, Bai, Lei
Variation of Arctic sea ice has significant impacts on polar ecosystems, transporting routes, coastal communities, and global climate. Tracing the change of sea ice at a finer scale is paramount for both operational applications and scientific studie
Externí odkaz:
http://arxiv.org/abs/2410.09111
Place recognition is a crucial module to ensure autonomous vehicles obtain usable localization information in GPS-denied environments. In recent years, multimodal place recognition methods have gained increasing attention due to their ability to over
Externí odkaz:
http://arxiv.org/abs/2410.00299
Human emotional expression is inherently dynamic, complex, and fluid, characterized by smooth transitions in intensity throughout verbal communication. However, the modeling of such intensity fluctuations has been largely overlooked by previous audio
Externí odkaz:
http://arxiv.org/abs/2409.19501
Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face challenges such as limited data diversity and inadequate augmentat
Externí odkaz:
http://arxiv.org/abs/2409.04963
Understanding human intentions and actions through egocentric videos is important on the path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand trajectory prediction plays a vital role in comprehending human motio
Externí odkaz:
http://arxiv.org/abs/2409.02638
Advances in generative models increase the need for sample quality assessment. To do so, previous methods rely on a pre-trained feature extractor to embed the generated samples and real samples into a common space for comparison. However, different f
Externí odkaz:
http://arxiv.org/abs/2407.15171
Autor:
Zhang, Rui, Luo, Tianyue, Yang, Weidong, Fei, Ben, Xu, Jingyi, Zhou, Qingyuan, Liu, Keyi, He, Ying
3D Gaussian Splatting (3D-GS) has made a notable advancement in the field of neural rendering, 3D scene reconstruction, and novel view synthesis. Nevertheless, 3D-GS encounters the main challenge when it comes to accurately representing physical refl
Externí odkaz:
http://arxiv.org/abs/2406.05852
Autor:
Fei, Ben, Li, Yixuan, Yang, Weidong, Gao, Hengjun, Xu, Jingyi, Ma, Lipeng, Yang, Yatian, Zhou, Pinghong
The development of medical imaging techniques has made a significant contribution to clinical decision-making. However, the existence of suboptimal imaging quality, as indicated by irregular illumination or imbalanced intensity, presents significant
Externí odkaz:
http://arxiv.org/abs/2406.10236
Understanding how humans would behave during hand-object interaction is vital for applications in service robot manipulation and extended reality. To achieve this, some recent works have been proposed to simultaneously forecast hand trajectories and
Externí odkaz:
http://arxiv.org/abs/2405.04370