Zobrazeno 1 - 10
of 8 232
pro vyhledávání: '"XU, Lu"'
We consider a class of generalized long-range exclusion processes evolving either on $\mathbb Z$ or on a finite lattice with an open boundary. The jump rates are given in terms of a general kernel depending on both the departure and destination sites
Externí odkaz:
http://arxiv.org/abs/2410.17899
In this paper, we present Cross Language Agent -- Simultaneous Interpretation, CLASI, a high-quality and human-like Simultaneous Speech Translation (SiST) System. Inspired by professional human interpreters, we utilize a novel data-driven read-write
Externí odkaz:
http://arxiv.org/abs/2407.21646
Autor:
Ershov, Egor, Panshin, Artyom, Karasev, Oleg, Korchagin, Sergey, Lev, Shepelev, Startsev, Alexandr, Vladimirov, Daniil, Zaychenkova, Ekaterina, Banić, Nikola, Iarchuk, Dmitrii, Efimova, Maria, Timofte, Radu, Terekhin, Arseniy, Yue, Shuwei, Liu, Yuyang, Wei, Minchen, Xu, Lu, Zhang, Chao, Wang, Yasi, Kınlı, Furkan, Yılmaz, Doğa, Özcan, Barış, Kıraç, Furkan, Liu, Shuai, Xiao, Jingyuan, Feng, Chaoyu, Wang, Hao, Shao, Guangqi, Zhang, Yuqian, Huang, Yibin, Luo, Wei, Wang, Liming, Wang, Xiaotao, Lei, Lei, Zini, Simone, Rota, Claudio, Buzzelli, Marco, Bianco, Simone, Schettini, Raimondo, Guo, Jin, Liu, Tianli, Wu, Mohao, Shao, Ben, Yang, Qirui, Li, Xianghui, Cheng, Qihua, Zhang, Fangpu, Xu, Zhiqiang, Yang, Jingyu, Yue, Huanjing
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality output images i
Externí odkaz:
http://arxiv.org/abs/2406.13007
Autor:
Xu, Lu, Zhu, Sijie, Li, Chunyuan, Kuo, Chia-Wen, Chen, Fan, Wang, Xinyao, Chen, Guang, Du, Dawei, Yuan, Ye, Wen, Longyin
The emerging video LMMs (Large Multimodal Models) have achieved significant improvements on generic video understanding in the form of VQA (Visual Question Answering), where the raw videos are captured by cameras. However, a large portion of videos i
Externí odkaz:
http://arxiv.org/abs/2406.10484
The success of Large Vision Models (LVMs) is accompanied by vast data volumes, which are prohibitively expensive in medical diagnosis.To address this, recent efforts exploit Parameter-Efficient Fine-Tuning (PEFT), which trains a small number of weigh
Externí odkaz:
http://arxiv.org/abs/2405.17877
Autor:
Li, Jiachen, Wang, Xinyao, Zhu, Sijie, Kuo, Chia-Wen, Xu, Lu, Chen, Fan, Jain, Jitesh, Shi, Humphrey, Wen, Longyin
Recent advancements in Multimodal Large Language Models (LLMs) have focused primarily on scaling by increasing text-image pair data and enhancing LLMs to improve performance on multimodal tasks. However, these scaling approaches are computationally e
Externí odkaz:
http://arxiv.org/abs/2405.05949
Autor:
Deng, Xiuqi, Xu, Lu, Li, Xiyao, Yu, Jinkai, Xue, Erpeng, Wang, Zhongyuan, Zhang, Di, Liu, Zhaojie, Zhou, Guorui, Song, Yang, Mou, Na, Jiang, Shen, Li, Han
Traditional recommender systems heavily rely on ID features, which often encounter challenges related to cold-start and generalization. Modeling pre-extracted content features can mitigate these issues, but is still a suboptimal solution due to the d
Externí odkaz:
http://arxiv.org/abs/2404.06078
Autor:
Zhou, Hongyu, Shao, Jiahao, Xu, Lu, Bai, Dongfeng, Qiu, Weichao, Liu, Bingbing, Wang, Yue, Geiger, Andreas, Liao, Yiyi
Holistic understanding of urban scenes based on RGB images is a challenging yet important problem. It encompasses understanding both the geometry and appearance to enable novel view synthesis, parsing semantic labels, and tracking moving objects. Des
Externí odkaz:
http://arxiv.org/abs/2403.12722
Autor:
Xu, Lu, Zhao, Linjie
Publikováno v:
Journal of Statistical Physics, 191, 78, 2024
We consider an open interacting particle system on a finite lattice. The particles perform asymmetric simple exclusion and are randomly created or destroyed at all sites, with rates that grow rapidly near the boundaries. We study the hydrodynamic lim
Externí odkaz:
http://arxiv.org/abs/2402.11921
Publikováno v:
Electronic Journal of Probability, volume 29, page 1 - 36, 2024
We establish the incompressible limit of weakly asymmetric simple exclusion processes coupled through particle collisions. The incompressible limit depends on various parameters in the particle system and is linked to fluid dynamics equations. Our ma
Externí odkaz:
http://arxiv.org/abs/2402.10375