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Rui He

6 accepted papers

2026

Towards Storytelling Animations: Joint Synthesis of Human and Camera Motions

CVPR 2026

To tell a story effectively, a 3D animation often necessitates carefully planned behaviors of both characters and the camera in the 3D scene, where the camera placement and movement determine how the characters are displayed on screen. Thus, creating storytelling animations can be challenging. While

Cited by 0SourceScholar
2025

One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue

ACL 2025finding

Dialogue text segmentation aims to partition dialogue content into consecutive paragraphs based on themes or logic, enhancing its comprehensibility and manageability. Current text segmentation models, when applied directly to STS (Streaming Text Segmentation), exhibit numerous limitations, such as i…

2025

Unified Admittance Control for Accurate Puncture and Respiration Following Based on Disturbance Observation and Model Predictive Control

RA-L 2025

Percutaneous puncture is the clinical standard for diagnosis and therapy of lung tumors. Needle placement accuracy and safety are of great significance but severely affected by respiration. In this letter, a unified admittance control method for accurate puncture and respiration following is propose

Cited by 2SourceScholar
2023

Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments Using Occlusion-Free Spheres

IROS 2023poster

Autonomous exploration is a crucial aspect of robotics that has numerous applications. Most of the existing methods greedily choose goals that maximize immediate reward. This strategy is computationally efficient but insufficient for overall exploration efficiency. In recent years, some state-of-the…

Cited by 10SourceScholar
2023

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier

ICCV 2023poster

Data heterogeneity is an inherent challenge that hinders the performance of federated learning (FL). Recent studies have identified the biased classifiers of local models as the key bottleneck. Previous attempts have used classifier calibration after FL training, but this approach falls short in imp…

Cited by 78PDFcodeScholar