Výsledky vyhledávání - "Yang, LiRong"

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Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection

Autor: Peng, Xingyu, Bai, Yan, Gao, Chen, Yang, Lirong, Xia, Fei, Mu, Beipeng, Wang, Xiaofei, Liu, Si

Open-Vocabulary Detection (OVD) is the task of detecting all interesting objects in a given scene without predefined object classes. Extensive work has been done to deal with the OVD for 2D RGB images, but the exploration of 3D OVD is still limited.

Externí odkaz: http://arxiv.org/abs/2407.08931

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Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection

Autor: Fu, Jiahui, Gao, Chen, Wang, Zitian, Yang, Lirong, Wang, Xiaofei, Mu, Beipeng, Liu, Si

Recent 3D object detectors typically utilize multi-sensor data and unify multi-modal features in the shared bird's-eye view (BEV) representation space. However, our empirical findings indicate that previous methods have limitations in generating fusi

Externí odkaz: http://arxiv.org/abs/2403.07372

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Two-Stream Networks for Object Segmentation in Videos

Autor: Lu, Hannan, Tian, Zhi, Yang, Lirong, Ren, Haibing, Zuo, Wangmeng

Existing matching-based approaches perform video object segmentation (VOS) via retrieving support features from a pixel-level memory, while some pixels may suffer from lack of correspondence in the memory (i.e., unseen), which inevitably limits their

Externí odkaz: http://arxiv.org/abs/2208.04026

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Target-Driven Structured Transformer Planner for Vision-Language Navigation

Autor: Zhao, Yusheng, Chen, Jinyu, Gao, Chen, Wang, Wenguan, Yang, Lirong, Ren, Haibing, Xia, Huaxia, Liu, Si

Vision-language navigation is the task of directing an embodied agent to navigate in 3D scenes with natural language instructions. For the agent, inferring the long-term navigation target from visual-linguistic clues is crucial for reliable path plan

Externí odkaz: http://arxiv.org/abs/2207.11201

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