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Lizhen Xu

3 accepted papers

2026

Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable

AAAI 2026technical

Query-based models are extensively used in 3D object detection tasks, with a wide range of pre-trained checkpoints readily available online. However, despite their popularity, these models often require an excessive number of object queries, far surpassing the actual number of objects to detect. The

Cited by 0SourcePDFScholar
2025

Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning

ICCV 2025poster

Query-based methods with dense features have demonstrated remarkable success in 3D object detection tasks. However, the computational demands of these models, particularly with large image sizes and multiple transformer layers, pose significant challenges for efficient running on edge devices. Exist…

2024

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

EMNLP 2024finding

Large language models (LLMs) have exhibited great potential in autonomously completing tasks across real-world applications. Despite this, these LLM agents introduce unexpected safety risks when operating in interactive environments. Instead of centering on the harmlessness of LLM-generated content…