Zobrazeno 1 - 10
of 11 004
pro vyhledávání: '"WEI, BIN"'
Autor:
Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Ye, Rongguang, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung
Street Scene Semantic Understanding (denoted as TriSU) is a complex task for autonomous driving (AD). However, inference model trained from data in a particular geographical region faces poor generalization when applied in other regions due to inter-
Externí odkaz:
http://arxiv.org/abs/2409.19560
Autor:
Yang, Jinlong, Shang, Hengchao, Wei, Daimeng, Guo, Jiaxin, Li, Zongyao, Wu, Zhanglin, Rao, Zhiqiang, Li, Shaojun, Xie, Yuhao, Luo, Yuanchang, Zheng, Jiawei, Wei, Bin, Yang, Hao
This paper describes the submissions of Huawei Translation Services Center(HW-TSC) to WMT24 chat translation shared task on English$\leftrightarrow$Germany (en-de) bidirection. The experiments involved fine-tuning models using chat data and exploring
Externí odkaz:
http://arxiv.org/abs/2409.16331
Autor:
Wei, Bin, Zhen, Jiawei, Li, Zongyao, Wu, Zhanglin, Wei, Daimeng, Guo, Jiaxin, Rao, Zhiqiang, Li, Shaojun, Luo, Yuanchang, Shang, Hengchao, Yang, Jinlong, Xie, Yuhao, Yang, Hao
This paper introduces the submission by Huawei Translation Center (HW-TSC) to the WMT24 Indian Languages Machine Translation (MT) Shared Task. To develop a reliable machine translation system for low-resource Indian languages, we employed two distinc
Externí odkaz:
http://arxiv.org/abs/2409.15879
Autor:
Wu, Zhanglin, Luo, Yuanchang, Wei, Daimeng, Zheng, Jiawei, Wei, Bin, Li, Zongyao, Shang, Hengchao, Guo, Jiaxin, Li, Shaojun, Zhang, Weidong, Xie, Ning, Yang, Hao
This paper presents the submission of Huawei Translation Services Center (HW-TSC) to machine translation tasks of the 20th China Conference on Machine Translation (CCMT 2024). We participate in the bilingual machine translation task and multi-domain
Externí odkaz:
http://arxiv.org/abs/2409.14842
Autor:
Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Wang, Shuai, Lin, Qingfeng, Tang, Ming, Wu, Yik-Chung
Various adverse weather conditions pose a significant challenge to autonomous driving (AD) perception. A common strategy is to minimize the disparity between images captured in clear and adverse weather conditions. However, this technique typically r
Externí odkaz:
http://arxiv.org/abs/2409.14737
Quantum collision model provides a promising tool for investigating system-bath dynamics. Most of the studies on quantum collision models work in the resonant regime. In quantum dynamics, the off-resonant interaction often brings in exciting ffects.
Externí odkaz:
http://arxiv.org/abs/2409.12738
Deep learning, particularly convolutional neural networks (CNNs) and Transformers, has significantly advanced 3D medical image segmentation. While CNNs are highly effective at capturing local features, their limited receptive fields may hinder perfor
Externí odkaz:
http://arxiv.org/abs/2409.12533
Publikováno v:
IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2024)
Pareto set learning (PSL) is an emerging approach for acquiring the complete Pareto set of a multi-objective optimization problem. Existing methods primarily rely on the mapping of preference vectors in the objective space to Pareto optimal solutions
Externí odkaz:
http://arxiv.org/abs/2408.05778
With the increasing adoption of autonomous vehicles, ensuring the reliability of autonomous driving systems (ADSs) deployed on autonomous vehicles has become a significant concern. Driving simulators have emerged as crucial platforms for testing auto
Externí odkaz:
http://arxiv.org/abs/2408.05694
Autor:
Zhang, Renrui, Wei, Xinyu, Jiang, Dongzhi, Guo, Ziyu, Li, Shicheng, Zhang, Yichi, Tong, Chengzhuo, Liu, Jiaming, Zhou, Aojun, Wei, Bin, Zhang, Shanghang, Gao, Peng, Li, Chunyuan, Li, Hongsheng
The mathematical capabilities of Multi-modal Large Language Models (MLLMs) remain under-explored with three areas to be improved: visual encoding of math diagrams, diagram-language alignment, and chain-of-thought (CoT) reasoning. This draws forth an
Externí odkaz:
http://arxiv.org/abs/2407.08739