TengQi Ye — accepted AI-conference papers

2025

Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark

Ying Liu, Yijing Hua, Haojiang Chai, Yanbo Wang, TengQi Ye

ICRA 2025

Open-vocabulary detectors are proposed to locate and recognize objects in novel classes. However, variations in vision-aware language vocabulary data used for open-vocabulary learning can lead to unfair and unreliable evaluations. Recent evaluation methods have attempted to address this issue by inc

Cited by 2 Source ↗code ↗Scholar ↗

2022

Bridged Transformer for Vision and Point Cloud 3D Object Detection

Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He +1

CVPR 2022poster

3D object detection is a crucial research topic in computer vision, which usually uses 3D point clouds as input in conventional setups. Recently, there is a trend of leveraging multiple sources of input data, such as complementing the 3D point cloud with 2D images that often have richer color and fe…

Cited by 53 PDF ↗Scholar ↗