3 citations · 5 across the 6 of their papers we have counts for
6 papers
Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes
Duy-Tho Le, Trung Pham, Jianfei Cai +1
Optimizing the similarity between parametric shapes is crucial for numerous computer vision tasks, where Intersection over Union (IoU) stands as the canonical measure. However, exi…
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
Duy-Tho Le, Chenhui Gou, Stavya Datta +4
Autonomous robot systems have attracted increasing research attention in recent years, where environment understanding is a crucial step for robot navigation, human-robot interacti…
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
Duy-Tho Le, Hengcan Shi, Jianfei Cai +1
Diffusion models have recently gained prominence as powerful deep generative models, demonstrating unmatched performance across various domains. However, their potential in multi-s…
Improving Visual Perception of a Social Robot for Controlled and In-the-wild Human-robot Interaction
Wangjie Zhong, Leimin Tian, Duy Tho Le +1
Social robots often rely on visual perception to understand their users and the environment. Recent advancements in data-driven approaches for computer vision have demonstrated gre…
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
Edward Vendrow, Duy Tho Le, Jianfei Cai +1
Autonomous robotic systems operating in human environments must understand their surroundings to make accurate and safe decisions. In crowded human scenes with close-up human-robot…
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
Duy-Tho Le, Hengcan Shi, Hamid Rezatofighi +1
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…