Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lan, Jin-Peng"'
Autor:
He, Jun-Yan, Cheng, Zhi-Qi, Li, Chenyang, Sun, Jingdong, He, Qi, Xiang, Wangmeng, Chen, Hanyuan, Lan, Jin-Peng, Lin, Xianhui, Zhu, Kang, Luo, Bin, Geng, Yifeng, Xie, Xuansong, Hauptmann, Alexander G.
MetaDesigner revolutionizes artistic typography synthesis by leveraging the strengths of Large Language Models (LLMs) to drive a design paradigm centered around user engagement. At the core of this framework lies a multi-agent system comprising the P
Externí odkaz:
http://arxiv.org/abs/2406.19859
Autor:
He, Junwen, Wang, Yifan, Wang, Lijun, Lu, Huchuan, He, Jun-Yan, Lan, Jin-Peng, Luo, Bin, Xie, Xuansong
Multimodal Large Language Model (MLLMs) leverages Large Language Models as a cognitive framework for diverse visual-language tasks. Recent efforts have been made to equip MLLMs with visual perceiving and grounding capabilities. However, there still r
Externí odkaz:
http://arxiv.org/abs/2403.02969
Autor:
He, Junwen, Wang, Yifan, Wang, Lijun, Lu, Huchuan, He, Jun-Yan, Lan, Jin-Peng, Luo, Bin, Geng, Yifeng, Xie, Xuansong
Depth-aware panoptic segmentation is an emerging topic in computer vision which combines semantic and geometric understanding for more robust scene interpretation. Recent works pursue unified frameworks to tackle this challenge but mostly still treat
Externí odkaz:
http://arxiv.org/abs/2307.14786
Autor:
Zhu, Jiawen, Chen, Zhenyu, Hao, Zeqi, Chang, Shijie, Zhang, Lu, Wang, Dong, Lu, Huchuan, Luo, Bin, He, Jun-Yan, Lan, Jin-Peng, Chen, Hanyuan, Li, Chenyang
Visual object tracking is a fundamental video task in computer vision. Recently, the notably increasing power of perception algorithms allows the unification of single/multiobject and box/mask-based tracking. Among them, the Segment Anything Model (S
Externí odkaz:
http://arxiv.org/abs/2307.13974
Autor:
Li, Chenyang, Cheng, Zhi-Qi, He, Jun-Yan, Li, Pengyu, Luo, Bin, Chen, Hanyuan, Geng, Yifeng, Lan, Jin-Peng, Xie, Xuansong
Streaming perception is a critical task in autonomous driving that requires balancing the latency and accuracy of the autopilot system. However, current methods for streaming perception are limited as they only rely on the current and adjacent two fr
Externí odkaz:
http://arxiv.org/abs/2210.15518
Autor:
Lan, Jin-Peng, Cheng, Zhi-Qi, He, Jun-Yan, Li, Chenyang, Luo, Bin, Bao, Xu, Xiang, Wangmeng, Geng, Yifeng, Xie, Xuansong
Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template. This causes tracking to inevitably fail in fast-changing and crowded scenes, as it cannot account for changes in object appearance between frames. To t
Externí odkaz:
http://arxiv.org/abs/2210.15511
Autor:
Lan, Jin-Peng, Cheng, Zhi-Qi, He, Jun-Yan, Li, Chenyang, Luo, Bin, Bao, Xu, Xiang, Wangmeng, Geng, Yifeng, Xie, Xuansong
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template. This causes tracking to inevitably fail in fast-changing and crowded scenes, as it cannot account for changes in object appearance between frames. To t
Autor:
Lan Jin-Peng, Liu Yu-Meng, Liu Li-Juan, Liu Guo-Zhen, Liu Zhao, Cao Zhen-Wei, Li LiYun, Cao Yang-Hao
Publikováno v:
CHINESE BULLETIN OF BOTANY. 47:483-490