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Qiming Liu

5 accepted papers

2026

Deep Learning-Based Fourier Registration for Forward-Looking Sonar Odometry in Texture-Sparse Underwater Environments

RA-L 2026

Robust forward-looking sonar (FLS) odometry is critical for underwater autonomous navigation but is hindered by severe noise and sparse textures in acoustic imaging. Traditional Fourier-based methods are susceptible to such degradations, while end-to-end deep learning approaches often struggle to le

Cited by 0SourceScholar
2024

Enhancing Exploratory Capability of Visual Navigation Using Uncertainty of Implicit Scene Representation

IROS 2024

In the context of visual navigation in unknown scenes, both “exploration” and “exploitation” are equally crucial. Robots must first establish environmental cognition through exploration and then utilize the cognitive information to accomplish target searches. However, most existing methods for image

Cited by 2SourcecodeScholar
2024

Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation

ECCV 2024poster

"We present a novel graph memory structure for navigation, called Frontier-enhanced Topological Memory (FTM). Most prior research primarily focuses on maintaining memory representations for explored areas. In contrast, our approach incorporates ghost nodes into the topological map to characterize un…

2024

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

AAAI 2024technical

Due to the widespread adoption of the cost-per-action(CPA) display strategy that demands a real-time conversion rate prediction(CVR), delayed feedback is becoming one of the major challenges in online advertising. As the true labels of a significant quantity of samples are only available after long…

2024

Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties

ICRA 2024poster

Robotic systems with hundreds or even thousands of robots are widely implemented in logistic and industrial applications. In such systems, cooperative path planning is of great importance, as local congestion and motion conflict may greatly degrade system performance, especially in the presence of u…

Cited by 3SourceScholar