Yingying Shen — accepted AI-conference papers

2026

ParkGaussian: Surround-view 3D Gaussian Splatting for Autonomous Parking

Xiaobao Wei, Zhangjie Ye, Yuxiang Gu, Zunjie Zhu, Yunfei Guo, Yingying Shen +7

CVPR 2026

Parking is a critical task for autonomous driving systems (ADS), with unique challenges in crowded parking slots and GPS-denied environments. However, existing works focus on 2D parking slot perception, mapping, and localization, 3D reconstruction remains underexplored, which is crucial for capturin

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2026

UFO: Unifying Feed-Forward and Optimization-based Methods for Large Driving Scene Modeling

Kaiyuan Tan, Yingying Shen, Ziyue Zhu, Mingfei Tu, Haohui Zhu, Haiyang Sun +3

CVPR 2026

Dynamic driving scene modeling is critical for autonomous driving simulation and closed-loop learning. While recent feed-forward methods offer fast inference through data-driven priors, they struggle with long-range driving sequences due to quadratic complexity in sequence length and restrictive ass

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