Zobrazeno 1 - 10
of 2 230
pro vyhledávání: '"Liu, JingYu"'
Autor:
Gao, Mingze, Liu, Jingyu, Li, Mingda, Xie, Jiangtao, Liu, Qingbin, Zhao, Bo, Chen, Xi, Xiong, Hui
Multimodal Large Language Models (MLLMs) have significantly improved performance across various image-language applications. Recently, there has been a growing interest in adapting image pre-trained MLLMs for video-related tasks. However, most effort
Externí odkaz:
http://arxiv.org/abs/2409.03206
Transient stability and critical clearing time (CCT) are important concepts in power system protection and control. This paper explores and compares various learning-based methods for predicting CCT under uncertainties arising from renewable generati
Externí odkaz:
http://arxiv.org/abs/2409.02336
Autor:
Liu, Jingyu, Wang, Minquan, Ma, Ye, Wang, Bo, Chen, Aozhu, Chen, Quan, Jiang, Peng, Li, Xirong
Videos showcasing specific products are increasingly important for E-commerce. Key moments naturally exist as the first appearance of a specific product, presentation of its distinctive features, the presence of a buying link, etc. Adding proper soun
Externí odkaz:
http://arxiv.org/abs/2408.13226
Autor:
Zhang, Guozhen, Liu, Jingyu, Cao, Shengming, Zhao, Xiaotong, Zhao, Kevin, Ma, Kai, Wang, Limin
Recently, the remarkable success of pre-trained Vision Transformers (ViTs) from image-text matching has sparked an interest in image-to-video adaptation. However, most current approaches retain the full forward pass for each frame, leading to a high
Externí odkaz:
http://arxiv.org/abs/2408.06840
Autor:
Liu, Jingyu, Yao, Yao
In the strong exciton-cavity coupling regime, exciton polaritons play a pivotal role in governing exciton transport. However, the specific contributions of the two branches of polaritons to exciton current remain unexplored. Here, we decompose the ex
Externí odkaz:
http://arxiv.org/abs/2405.16044
Video Temporal Grounding (VTG) focuses on accurately identifying event timestamps within a particular video based on a linguistic query, playing a vital role in downstream tasks such as video browsing and editing. While Video Large Language Models (v
Externí odkaz:
http://arxiv.org/abs/2405.13382
Autor:
Thapaliya, Bishal, Miller, Robyn, Chen, Jiayu, Wang, Yu-Ping, Akbas, Esra, Sapkota, Ram, Ray, Bhaskar, Suresh, Pranav, Ghimire, Santosh, Calhoun, Vince, Liu, Jingyu
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for understanding human neural mechanisms of intricate cognitive processes. Most rs-fMRI studies compute a single static functional connectivity matrix a
Externí odkaz:
http://arxiv.org/abs/2405.15805
Autor:
Feng, Tao, Jin, Chuanyang, Liu, Jingyu, Zhu, Kunlun, Tu, Haoqin, Cheng, Zirui, Lin, Guanyu, You, Jiaxuan
The evolution of artificial intelligence (AI) has profoundly impacted human society, driving significant advancements in multiple sectors. Yet, the escalating demands on AI have highlighted the limitations of AI's current offerings, catalyzing a move
Externí odkaz:
http://arxiv.org/abs/2405.10313
Autor:
Ohib, Riyasat, Thapaliya, Bishal, Dziugaite, Gintare Karolina, Liu, Jingyu, Calhoun, Vince, Plis, Sergey
In this work, we propose Salient Sparse Federated Learning (SSFL), a streamlined approach for sparse federated learning with efficient communication. SSFL identifies a sparse subnetwork prior to training, leveraging parameter saliency scores computed
Externí odkaz:
http://arxiv.org/abs/2405.09037
Peer-to-Peer (P2P) content delivery, known for scalability and resilience, offers a decentralized alternative to traditional centralized Content Delivery Networks (CDNs). A significant challenge in P2P content delivery remains: the fair compensation
Externí odkaz:
http://arxiv.org/abs/2405.02973