Yixin Zeng — accepted AI-conference papers

2025

DynamicPose: Real-time and Robust 6D Object Pose Tracking for Fast-Moving Cameras and Objects

Tingbang Liang, Yixin Zeng, Jiatong Xie, Boyu Zhou

IROS 2025

We present DynamicPose, a retraining-free 6D pose tracking framework that improves tracking robustness in fast-moving camera and object scenarios. Previous work is mainly applicable to static or quasi-static scenes, and its performance significantly deteriorates when both the object and the camera m

Cited by 3 Source ↗Scholar ↗

2024

Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination

Yixin Zeng, Zoubin Bi, Mingrui Yin, Xiang Feng, Kun Zhou, Hongzhi Wu

CVPR 2024poster

We propose a novel framework for real-time acquisition and reconstruction of temporally-varying 3D phenomena with high quality. The core of our framework is a deep neural network with an encoder that directly maps to the structured illumination during acquisition a decoder that predicts a 1D density…

Cited by 0 Source ↗PDF ↗Scholar ↗