Výsledky vyhledávání - "Guan, Zhihao"

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Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching

Autor: Guan, Zhihao, Liu, Ruixin, Yuan, Zejian, Liu, Ao, Tang, Kun, Zhou, Tong, Li, Erlong, Zheng, Chao, Mei, Shuqi

As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict demands for precision. In this paper, an end-to-end flexible and hierarc

Externí odkaz: http://arxiv.org/abs/2408.07163

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The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challenge

Autor: Huang, Longfei, Yu, Feng, Guan, Zhihao, Wan, Zhonghua, Yang, Yang

This report presents a solution for the zero-shot referring expression comprehension task. Visual-language multimodal base models (such as CLIP, SAM) have gained significant attention in recent years as a cornerstone of mainstream research. One of th

Externí odkaz: http://arxiv.org/abs/2407.04998

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The Solution for the ICCV 2023 Perception Test Challenge 2023 -- Task 6 -- Grounded videoQA

Autor: Zhang, Hailiang, Chao, Dian, Guan, Zhihao, Yang, Yang

In this paper, we introduce a grounded video question-answering solution. Our research reveals that the fixed official baseline method for video question answering involves two main steps: visual grounding and object tracking. However, a significant

Externí odkaz: http://arxiv.org/abs/2407.01907

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JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer

Autor: Guan, Zhihao, Yang, Jia-Qi, Yang, Yang, Zhu, Hengshu, Li, Wenjie, Xiong, Hui

Job recommendation aims to provide potential talents with suitable job descriptions (JDs) consistent with their career trajectory, which plays an essential role in proactive talent recruitment. In real-world management scenarios, the available JD-use

Externí odkaz: http://arxiv.org/abs/2404.04313

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The Solution for the CVPR 2023 1st foundation model challenge-Track2

Autor: Xu, Haonan, Huang, Yurui, Pan, Sishun, Guan, Zhihao, Xu, Yi, Yang, Yang

In this paper, we propose a solution for cross-modal transportation retrieval. Due to the cross-domain problem of traffic images, we divide the problem into two sub-tasks of pedestrian retrieval and vehicle retrieval through a simple strategy. In ped

Externí odkaz: http://arxiv.org/abs/2403.17702

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Classification of skyrmionic textures and extraction of Hamiltonian parameters via machine learning

Autor: Feng, Dushuo, Guan, Zhihao, Wu, Xiaoping, Wu, Yan, Song, Changsheng

Classifying skyrmionic textures and extracting magnetic Hamiltonian parameters are fundamental and demanding endeavors within the field of two-dimensional (2D) spintronics. By using micromagnetic simulation and machine learning (ML) methods, we theor

Externí odkaz: http://arxiv.org/abs/2309.15679

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Akademický článek

Bidirectional Empowerment Between Knowledge Service and New Quality Productive Forces Theoretical Interpretation and Practical Path

Autor: ZHAO Ruixue, LI Tian, GUAN Zhihao, XIAN Guojian, KOU Yuantao, SUN Tan

Publikováno v: Nongye tushu qingbao xuebao, Vol 36, Iss 2, Pp 4-14 (2024)

[Purpose/Significance] New quality productive forces is the latest pattern of productivity development under the background of data-driven intelligence. To explore the mechanism and practical way of bidirectional empowerment of knowledge service and

Externí odkaz: https://doaj.org/article/0bb4084ba7dc456ab10ed67df5f24970