Zobrazeno 1 - 10
of 382
pro vyhledávání: '"Jin Xiaojie"'
Autor:
YU Xiaoxiao, YOU Liping, WANG Liming, SUN Shan, JIN Xiaojie, TIAN Zefeng, QI Yanmin, ZHAO Yuting
Publikováno v:
Haiyang Kaifa yu guanli, Vol 41, Iss 3, Pp 52-60 (2024)
This study conducted four voyages of the surface of the waters of the Miaodao Archipelago in August 2018, October 2018, March 2019 and June 2019. In the seawater quality survey, 100 stations were set up to analyze the distribution of physicochemical
Externí odkaz:
https://doaj.org/article/1d5db6e13f694b57b9d91715f16035aa
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 87-108 (2023)
Bronchoscopy has been widely used for the therapy of lung cancer. This study aimed to evaluate the therapeutic efficacy and adverse reactions of bronchoscopic intratumoral injection of endostar and cisplatin in patients with lung squamous cell carcin
Externí odkaz:
https://doaj.org/article/55f6aa609863491a8b1fbf9a562f59a7
Verbal videos, featuring voice-overs or text overlays, provide valuable content but present significant challenges in composition, especially when incorporating editing effects to enhance clarity and visual appeal. In this paper, we introduce the nov
Externí odkaz:
http://arxiv.org/abs/2407.04697
This paper describes our champion solution to the LOVEU Challenge @ CVPR'24, Track 1 (Long Video VQA). Processing long sequences of visual tokens is computationally expensive and memory-intensive, making long video question-answering a challenging ta
Externí odkaz:
http://arxiv.org/abs/2407.00603
Benefiting from the advancements in large language models and cross-modal alignment, existing multi-modal video understanding methods have achieved prominent performance in offline scenario. However, online video streams, as one of the most common me
Externí odkaz:
http://arxiv.org/abs/2406.08085
Autor:
Zhao, Jian, Jin, Lei, Li, Jianshu, Zhu, Zheng, Teng, Yinglei, Zhao, Jiaojiao, Gulshad, Sadaf, Wang, Zheng, Zhao, Bo, Shu, Xiangbo, Wei, Yunchao, Nie, Xuecheng, Jin, Xiaojie, Liang, Xiaodan, Satoh, Shin'ichi, Guo, Yandong, Lu, Cewu, Xing, Junliang, Shengmei, Jane Shen
The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the SkatingVerse Challenge has been publicly released. There are two subsets i
Externí odkaz:
http://arxiv.org/abs/2405.17188
The creation of new datasets often presents new challenges for video recognition and can inspire novel ideas while addressing these challenges. While existing datasets mainly comprise landscape mode videos, our paper seeks to introduce portrait mode
Externí odkaz:
http://arxiv.org/abs/2312.13746
Recent advances in large video-language models have displayed promising outcomes in video comprehension. Current approaches straightforwardly convert video into language tokens and employ large language models for multi-modal tasks. However, this met
Externí odkaz:
http://arxiv.org/abs/2312.08870
Autor:
Ren, Zhongwei, Huang, Zhicheng, Wei, Yunchao, Zhao, Yao, Fu, Dongmei, Feng, Jiashi, Jin, Xiaojie
While large multimodal models (LMMs) have achieved remarkable progress, generating pixel-level masks for image reasoning tasks involving multiple open-world targets remains a challenge. To bridge this gap, we introduce PixelLM, an effective and effic
Externí odkaz:
http://arxiv.org/abs/2312.02228
Fine-tuning pre-trained transformer models, e.g., Swin Transformer, are successful in numerous downstream for dense prediction vision tasks. However, one major issue is the cost/storage of their huge amount of parameters, which becomes increasingly c
Externí odkaz:
http://arxiv.org/abs/2310.01843