Zobrazeno 1 - 10
of 19 691
pro vyhledávání: '"Feng, Wei"'
Sign language videos are an important medium for spreading and learning sign language. However, most existing human image synthesis methods produce sign language images with details that are distorted, blurred, or structurally incorrect. They also pr
Externí odkaz:
http://arxiv.org/abs/2409.16709
Autor:
Chen, Hong, Wang, Xin, Zhou, Yuwei, Huang, Bin, Zhang, Yipeng, Feng, Wei, Chen, Houlun, Zhang, Zeyang, Tang, Siao, Zhu, Wenwu
Multi-modal generative AI has received increasing attention in both academia and industry. Particularly, two dominant families of techniques are: i) The multi-modal large language model (MLLM) such as GPT-4V, which shows impressive ability for multi-
Externí odkaz:
http://arxiv.org/abs/2409.14993
Partial to Partial Point Cloud Registration (partial PCR) remains a challenging task, particularly when dealing with a low overlap rate. In comparison to the full-to-full registration task, we find that the objective of partial PCR is still not well-
Externí odkaz:
http://arxiv.org/abs/2409.05065
Autor:
Du, Zhenbang, Feng, Wei, Wang, Haohan, Li, Yaoyu, Wang, Jingsen, Li, Jian, Zhang, Zheng, Lv, Jingjing, Zhu, Xin, Jin, Junsheng, Shen, Junjie, Lin, Zhangang, Shao, Jingping
In the e-commerce realm, compelling advertising images are pivotal for attracting customer attention. While generative models automate image generation, they often produce substandard images that may mislead customers and require significant labor co
Externí odkaz:
http://arxiv.org/abs/2408.00418
We study a novel yet practical problem of open-corpus multi-object tracking (OCMOT), which extends the MOT into localizing, associating, and recognizing generic-category objects of both seen (base) and unseen (novel) classes, but without the category
Externí odkaz:
http://arxiv.org/abs/2407.14047
Video generation has witnessed great success recently, but their application in generating long videos still remains challenging due to the difficulty in maintaining the temporal consistency of generated videos and the high memory cost during generat
Externí odkaz:
http://arxiv.org/abs/2407.13219
Parallel Continual Learning (PCL) tasks investigate the training methods for continual learning with multi-source input, where data from different tasks are learned as they arrive. PCL offers high training efficiency and is well-suited for complex mu
Externí odkaz:
http://arxiv.org/abs/2407.08214
Cardiac motion tracking from echocardiography can be used to estimate and quantify myocardial motion within a cardiac cycle. It is a cost-efficient and effective approach for assessing myocardial function. However, ultrasound imaging has the inherent
Externí odkaz:
http://arxiv.org/abs/2407.04663
Autor:
Saha, Anindya, Tej, Anandmayee, Liu, Hong-Li, Liu, Tie, Garay, Guido, Goldsmith, Paul F., Lee, Chang Won, He, Jinhua, Juvela, Mika, Bronfman, Leonardo, Baug, Tapas, Vazquez-Semadeni, Enrique, Sanhueza, Patricio, Li, Shanghuo, Chibueze, James O., Bhadari, N. K., Dewangan, Lokesh K., Das, Swagat Ranjan, Xu, Feng-Wei, Issac, Namitha, Hwang, Jihye, Toth, L. Viktor
Using new continuum and molecular line data from the ALMA Three-millimeter Observations of Massive Star-forming Regions (ATOMS) survey and archival VLA, 4.86 GHz data, we present direct observational evidence of hierarchical triggering relating three
Externí odkaz:
http://arxiv.org/abs/2407.01063
Publikováno v:
ICRA 2024
Multi-robot global localization (MR-GL) with unknown initial positions in a large scale environment is a challenging task. The key point is the data association between different robots' viewpoints. It also makes traditional Appearance-based localiza
Externí odkaz:
http://arxiv.org/abs/2406.19016