no code implementations • 18 Mar 2024 • Jiahe Wang, Jiale Huang, Bingzhao Cai, Yifan Cao, Xin Yun, Shangfei Wang
Conventional approaches to facial expression recognition primarily focus on the classification of six basic facial expressions.
no code implementations • 13 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.
no code implementations • 8 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.
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.
no code implementations • 1 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.