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Lineng Chen

3 accepted papers

2025

Dynamicity Adaptation for Multi-object Tracking and Segmentation: Toward Improved Association Correction

IROS 2025

Dynamicity is a critical and highly challenging aspect in Multi-Object Tracking and Segmentation (MOTS), significantly impeding the effective integration of diverse association cues. High dynamicity, such as severe occlusion or deformation, can distort appearance cues, leading to inaccurate inter-ob

Cited by 0SourceScholar
2023

PTC-Net: Point-Wise Transformer With Sparse Convolution Network for Place Recognition

RA-L 2023

In the point-cloud-based place recognition area, the existing hybrid architectures combining both convolutional networks and transformers have shown promising performance. They mainly apply the voxel-wise transformer after the sparse convolution (SPConv). However, they can induce information loss by

Cited by 22SourcecodeScholar