activity
20222025
most cited3DRM:Pair-wise relation module for 3D object detection

6 citations · 7 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

RemixFusion: Residual-based Mixed Representation for Large-scale Online RGB-D Reconstruction

Yuqing Lan, Chenyang Zhu, Shuaifeng Zhi +5

The introduction of the neural implicit representation has notably propelled the advancement of online dense reconstruction techniques. Compared to traditional explicit representat…

cs.CV2025

BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion

Yuqing Lan, Chenyang Zhu, Zhirui Gao +5

Open-vocabulary 3D object detection has gained significant interest due to its critical applications in autonomous driving and embodied AI. Existing detection methods, whether offl…

cs.CV2025

OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging

Yijie Tang, Jiazhao Zhang, Yuqing Lan +4

Online zero-shot 3D instance segmentation of a progressively reconstructed scene is both a critical and challenging task for embodied applications. With the success of visual found…

cs.CV20221 cited

DisARM: Displacement Aware Relation Module for 3D Detection

Yao Duan, Chenyang Zhu, Yuqing Lan +3

We introduce Displacement Aware Relation Module (DisARM), a novel neural network module for enhancing the performance of 3D object detection in point cloud scenes. The core idea of…

cs.CV20226 cited

3DRM:Pair-wise relation module for 3D object detection

Yuqing Lan, Yao Duan, Yifei Shi +2

Context has proven to be one of the most important factors in object layout reasoning for 3D scene understanding. Existing deep contextual models either learn holistic features for…