activity
20242026
most citedFrom Edge to Edge: A Flow-Inspired Scheduling Planner for Multi-Robot Systems

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.OS2026

Exploiting Dependency and Parallelism: Real-Time Scheduling and Analysis for GPU Tasks

Yuanhai Zhang, Songyang He, Ruizhe Gou +4

With the rapid advancement of Artificial Intelligence, the Graphics Processing Unit (GPU) has become increasingly essential across a growing number of safety-critical application d…

cs.CV2025

FSHNet: Fully Sparse Hybrid Network for 3D Object Detection

Shuai Liu, Mingyue Cui, Boyang Li +4

Fully sparse 3D detectors have recently gained significant attention due to their efficiency in long-range detection. However, sparse 3D detectors extract features only from non-em…

cs.CV2024

4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole

Daosong Hu, Ruomeng Wang, Liang Zhao +3

The three-dimensional vascular model reconstructed from CT images is widely used in medical diagnosis. At different phases, the beating of the heart can cause deformation of vessel…

cs.RO2024★ 1 cited

From Edge to Edge: A Flow-Inspired Scheduling Planner for Multi-Robot Systems

Han Liu, Yu Jin, Mingyue Cui +3

Trajectory planning is crucial in multi-robot systems, particularly in environments with numerous obstacles. While extensive research has been conducted in this field, the challeng…

cs.CV2024★ 1 cited

FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors

Shuai Liu, Boyang Li, Zhiyu Fang +2

LiDAR-based 3D object detection has made impressive progress recently, yet most existing models are black-box, lacking interpretability. Previous explanation approaches primarily f…