Lemiao Qiu — accepted AI-conference papers

2026

CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation

Zheyuan Zhou, Jiayi Han, Liang Du, Naiyu Fang, Lemiao Qiu

ICASSP 2026oral

Computer-Aided Design (CAD) models are widely used across industrial design, simulation, and manufacturing processes. Text-to-CAD systems aim to generate editable, general-purpose CAD models from textual descriptions, significantly reducing the complexity and entry barrier associated with traditiona…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation

Naiyu Fang, Lemiao Qiu, Shuyou Zhang, Zili Wang, Zheyuan Zhou, Kerui Hu

RA-L 2024

Depth estimation provides an alternative approach for perceiving 3D information in autonomous driving. Monocular depth estimation, whether with single-frame or multi-frame inputs, has achieved significant success by learning various types of cues and specializing in either static or dynamic scenes.

Cited by 3 Source ↗Scholar ↗