Xingchen Zhou — accepted AI-conference papers

2024

OTOcc: Optimal Transport for Occupancy Prediction

Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Xingchen Zhou, Guang Zhou

IJCAI 2024poster

The autonomous driving community is highly interested in 3D occupancy prediction due to its outstanding geometric perception and object recognition capabilities. However, previous methods are limited to existing semantic conversion mechanisms for solving sparse ground truths problem, causing excessi…

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2023

RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models

Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li

IJCAI 2023poster

The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world. However, it is still a very demanding task to repaint the content in NeRF. In this paper, we propose a novel framework that can take RGB images as input and alt…

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