Search Results for author: Chengcheng Guo

Found 3 papers, 1 papers with code

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams

no code implementations3 Dec 2023 Liao Wang, Kaixin Yao, Chengcheng Guo, Zhirui Zhang, Qiang Hu, Jingyi Yu, Lan Xu, Minye Wu

In this paper, we introduce VideoRF, the first approach to enable real-time streaming and rendering of dynamic radiance fields on mobile platforms.

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

1 code implementation18 Apr 2022 Chengcheng Guo, Bo Zhao, Yanbing Bai

Coreset selection, which aims to select a subset of the most informative training samples, is a long-standing learning problem that can benefit many downstream tasks such as data-efficient learning, continual learning, neural architecture search, active learning, etc.

Active Learning Continual Learning +1

Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes

no code implementations6 Jul 2021 Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng

To this end, we formulate vision-based localization as a data association problem that maps visual semantics to landmarks in HD map.

Autonomous Driving Pose Estimation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.