Zobrazeno 1 - 10
of 2 213
pro vyhledávání: '"Liu, JingYu"'
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
In recent years, there has been significant attention given to the robustness assessment of neural networks. Robustness plays a critical role in ensuring reliable operation of artificial intelligence (AI) systems in complex and uncertain environments
Externí odkaz:
http://arxiv.org/abs/2404.08285
This paper introduces Scene-LLM, a 3D-visual-language model that enhances embodied agents' abilities in interactive 3D indoor environments by integrating the reasoning strengths of Large Language Models (LLMs). Scene-LLM adopts a hybrid 3D visual fea
Externí odkaz:
http://arxiv.org/abs/2403.11401