Search Results for author: Lirong Yang

Found 6 papers, 2 papers with code

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

no code implementations12 Mar 2024 Jiahui Fu, Chen Gao, Zitian Wang, Lirong Yang, Xiaofei Wang, Beipeng Mu, Si Liu

Recent 3D object detectors typically utilize multi-sensor data and unify multi-modal features in the shared bird's-eye view (BEV) representation space.

3D Object Detection object-detection

Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation

1 code implementation CVPR 2023 Chen Gao, Xingyu Peng, Mi Yan, He Wang, Lirong Yang, Haibing Ren, Hongsheng Li, Si Liu

In this paper, we propose an Adaptive Zone-aware Hierarchical Planner (AZHP) to explicitly divides the navigation process into two heterogeneous phases, i. e., sub-goal setting via zone partition/selection (high-level action) and sub-goal executing (low-level action), for hierarchical planning.

Vision-Language Navigation

Two-Stream Networks for Object Segmentation in Videos

no code implementations8 Aug 2022 Hannan Lu, Zhi Tian, Lirong Yang, Haibing Ren, WangMeng Zuo

The compact instance stream effectively improves the segmentation accuracy of the unseen pixels, while fusing two streams with the adaptive routing map leads to an overall performance boost.

Object Retrieval +5

Target-Driven Structured Transformer Planner for Vision-Language Navigation

1 code implementation19 Jul 2022 Yusheng Zhao, Jinyu Chen, Chen Gao, Wenguan Wang, Lirong Yang, Haibing Ren, Huaxia Xia, Si Liu

Vision-language navigation is the task of directing an embodied agent to navigate in 3D scenes with natural language instructions.

Navigate Vision-Language Navigation

CenterMask: single shot instance segmentation with point representation

no code implementations CVPR 2020 Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang

Accordingly, we decompose the instance segmentation into two parallel subtasks: Local Shape prediction that separates instances even in overlapping conditions, and Global Saliency generation that segments the whole image in a pixel-to-pixel manner.

Instance Segmentation Object +2

Selective Sampling and Mixture Models in Generative Adversarial Networks

no code implementations2 Feb 2018 Karim Said Barsim, Lirong Yang, Bin Yang

In this paper, we propose a multi-generator extension to the adversarial training framework, in which the objective of each generator is to represent a unique component of a target mixture distribution.

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