Zobrazeno 1 - 10
of 21 762
pro vyhledávání: '"ZHOU, Jie"'
Autor:
Wang, Lening, Zheng, Wenzhao, Du, Dalong, Zhang, Yunpeng, Ren, Yilong, Jiang, Han, Cui, Zhiyong, Yu, Haiyang, Zhou, Jie, Lu, Jiwen, Zhang, Shanghang
4D driving simulation is essential for developing realistic autonomous driving simulators. Despite advancements in existing methods for generating driving scenes, significant challenges remain in view transformation and spatial-temporal dynamic model
Externí odkaz:
http://arxiv.org/abs/2412.05280
The compound Gaussian (CG) family of distributions has achieved great success in modeling sea clutter. This work develops a flexible-tailed CG model to improve generality in clutter modeling, by introducing the positive tempered $\alpha$-stable (PT$\
Externí odkaz:
http://arxiv.org/abs/2412.05174
3D occupancy prediction provides a comprehensive description of the surrounding scenes and has become an essential task for 3D perception. Most existing methods focus on offline perception from one or a few views and cannot be applied to embodied age
Externí odkaz:
http://arxiv.org/abs/2412.04380
Retrieval-augmented generation (RAG) introduces additional information to enhance large language models (LLMs). In machine translation (MT), previous work typically retrieves in-context examples from paired MT corpora, or domain-specific knowledge fr
Externí odkaz:
http://arxiv.org/abs/2412.04342
Autor:
Xiao, Chaojun, Cai, Jie, Zhao, Weilin, Zeng, Guoyang, Lin, Biyuan, Zhou, Jie, Zheng, Zhi, Han, Xu, Liu, Zhiyuan, Sun, Maosong
Large Language Models (LLMs) have emerged as a milestone in artificial intelligence, and their performance can improve as the model size increases. However, this scaling brings great challenges to training and inference efficiency, particularly for d
Externí odkaz:
http://arxiv.org/abs/2412.04315
Autor:
Mou, Xinyi, Ding, Xuanwen, He, Qi, Wang, Liang, Liang, Jingcong, Zhang, Xinnong, Sun, Libo, Lin, Jiayu, Zhou, Jie, Huang, Xuanjing, Wei, Zhongyu
Traditional sociological research often relies on human participation, which, though effective, is expensive, challenging to scale, and with ethical concerns. Recent advancements in large language models (LLMs) highlight their potential to simulate h
Externí odkaz:
http://arxiv.org/abs/2412.03563
Autor:
Wu, Meihan, Chang, Tao, Miao, Cui, Zhou, Jie, Li, Chun, Xu, Xiangyu, Li, Ming, Wang, Xiaodong
Federated learning research has recently shifted from Convolutional Neural Networks (CNNs) to Vision Transformers (ViTs) due to their superior capacity. ViTs training demands higher computational resources due to the lack of 2D inductive biases inher
Externí odkaz:
http://arxiv.org/abs/2412.00334
Autor:
Hu, Yuchen, Ye, Junhao, Xu, Ke, Sun, Jialin, Zhang, Shiyue, Jiao, Xinyao, Pan, Dingrong, Zhou, Jie, Wang, Ning, Shan, Weiwei, Fang, Xinwei, Wang, Xi, Guan, Nan, Jiang, Zhe
Verifying hardware designs in embedded systems is crucial but often labor-intensive and time-consuming. While existing solutions have improved automation, they frequently rely on unrealistic assumptions. To address these challenges, we introduce a no
Externí odkaz:
http://arxiv.org/abs/2411.16238
Existing methodologies in open vocabulary 3D semantic segmentation primarily concentrate on establishing a unified feature space encompassing 3D, 2D, and textual modalities. Nevertheless, traditional techniques such as global feature alignment or vis
Externí odkaz:
http://arxiv.org/abs/2411.13243
Autor:
Zhou, Jie, Zhang, Qiming, Gong, Jiarui, Lu, Yi, Liu, Yang, Abbasi, Haris, Qiu, Haining, Kim, Jisoo, Lin, Wei, Kim, Donghyeok, Li, Yiran, Ng, Tien Khee, Jang, Hokyung, Liu, Dong, Wang, Haiyan, Ooi, Boon S., Ma, Zhenqiang
Semiconductor heterojunctions are foundational to many advanced electronic and optoelectronic devices. However, achieving high-quality, lattice-mismatched interfaces remains challenging, limiting both scalability and device performance. Semiconductor
Externí odkaz:
http://arxiv.org/abs/2411.09713