Fanqi Yu — accepted AI-conference papers

2026

Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment

Fanqi Yu, Matteo Tiezzi, Tommaso Apicella, Cigdem Beyan, Vittorio Murino

CVPR 2026

We introduce a lifelong imitation learning framework that enables continual policy refinement across sequential tasks under realistic memory and data constraints. Our approach departs from conventional experience replay by operating entirely in a multimodal latent space, where compact representation

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2023

GenS: Generalizable Neural Surface Reconstruction from Multi-View Images

Rui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, Ronggang Wang

NeurIPS 2023poster

Combining the signed distance function (SDF) and differentiable volume rendering has emerged as a powerful paradigm for surface reconstruction from multi-view images without 3D supervision. However, current methods are impeded by requiring long-time per-scene optimizations and cannot generalize to n…

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