Duy-Tho Le — accepted AI-conference papers

2026

Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Convex Parametric Shapes

Duy-Tho Le, Trung Pham, Jianfei Cai, Hamid Rezatofighi

AAAI 2026technical

Optimizing the similarity between parametric shapes is crucial for numerous computer vision tasks, where Intersection over Union (IoU) stands as the canonical measure. However, existing optimization methods exhibit significant shortcomings: regression-based losses like L1/L2 lack correlation with Io

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2023

Accurate and Real-Time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network

Duy-Tho Le, Hengcan Shi, Hamid Rezatofighi, Jianfei Cai

RA-L 2023

Efficiently and accurately detecting people from 3D point cloud data is of great importance in many robotic and autonomous driving applications. This fundamental perception task is still very challenging due to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/199

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