Hu Zhu — accepted AI-conference papers

2026

Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection

Haowen Zheng, Hu Zhu, Lu Deng, Weihao Gu, Yang Yang, Yanyan Liang

AAAI 2026technical

Camera-based temporal 3D object detection has shown impressive results in autonomous driving, with offline models improving accuracy by using future frames. Knowledge distillation (KD) can be an appealing framework for transferring rich information from offline models to online models. However, exis

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2025

UniScene: Unified Occupancy-centric Driving Scene Generation

Bohan Li, Jiazhe Guo, Hongsi Liu, Yingshuang Zou, Yikang Ding, Xiwu Chen +11

CVPR 2025poster

Generating high-fidelity, controllable, and annotated training data is critical for autonomous driving. Existing methods typically generate a single data form directly from a coarse scene layout, which not only fails to output rich data forms required for diverse downstream tasks but also struggles…

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