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Xuchong Qiu

7 accepted papers

2025

Chameleon: Fast-Slow Neuro-Symbolic Lane Topology Extraction

ICRA 2025

Lane topology extraction involves detecting lanes and traffic elements and determining their relationships, a key perception task for mapless autonomous driving. This task requires complex reasoning, such as determining whether it is possible to turn left into a specific lane. To address this challe

Cited by 12SourcecodeScholar
2025

Delving into Mapping Uncertainty for Mapless Trajectory Prediction

IROS 2025

Recent advances in autonomous driving are moving towards mapless approaches, where High-Definition (HD) maps are generated online directly from sensor data, reducing the need for expensive labeling and maintenance. However, the reliability of these online-generated maps remains uncertain. While inco

Cited by 4SourcecodeScholar
2025

Reusing Attention for One-stage Lane Topology Understanding

IROS 2025

Understanding lane topology relationships accurately is critical for safe autonomous driving. However, existing two-stage methods suffer from inefficiencies due to error propagations and increased computational overheads. To address these challenges, we propose a one-stage architecture that simultan

Cited by 6SourcecodeScholar
2024

GOPT: Generalizable Online 3D Bin Packing via Transformer-Based Deep Reinforcement Learning

RA-L 2024

Robotic object packing has broad practical applications in the logistics and automation industry, often formulated by researchers as the online 3D Bin Packing Problem (3D-BPP). However, existing DRL-based methods primarily focus on enhancing performance in limited packing environments while neglecti

Cited by 15SourcecodeScholar
2024

Mask Grounding for Referring Image Segmentation

CVPR 2024poster

Referring Image Segmentation (RIS) is a challenging task that requires an algorithm to segment objects referred by free-form language expressions. Despite significant progress in recent years most state-of-the-art (SOTA) methods still suffer from considerable language-image modality gap at the pixel…

2020

Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application

ECCV 2020poster

Inference & Application","We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orientations via a pixel-pair occlusion relation. The former provides a way to generate large-scale a…