Search Results for author: Yifan Cao

Found 5 papers, 0 papers with code

Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry

no code implementations13 Jul 2022 Hao Xing, Yifan Cao, Maximilian Biber, Mingchuan Zhou, Darius Burschka

Supervised learning depth estimation methods can achieve good performance when trained on high-quality ground-truth, like LiDAR data.

Depth Estimation Depth Prediction

Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping

no code implementations8 Mar 2022 Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang

For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters.

Skull Stripping Source-Free Domain Adaptation

An Empirical Comparison of Unsupervised Constituency Parsing Methods

no code implementations ACL 2020 Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu

Unsupervised constituency parsing aims to learn a constituency parser from a training corpus without parse tree annotations.

Constituency Parsing

Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving

no code implementations1 Feb 2020 Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

This work presents a probabilistic deep neural network that combines LiDAR point clouds and RGB camera images for robust, accurate 3D object detection.

3D Object Detection Autonomous Driving +2

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