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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 12Source ↗code ↗Scholar ↗
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 4Source ↗code ↗Scholar ↗
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 6Source ↗code ↗Scholar ↗
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 15Source ↗code ↗Scholar ↗
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…