no code implementations • 12 Dec 2023 • Cheng Zeng, YiXuan Xu, Jiaqi Tian
This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios.
no code implementations • 3 Dec 2023 • Cheng Zeng, Jiaqi Tian, YiXuan Xu
Non-negative matrix factorization (NMF) and its variants have been widely employed in clustering and classification tasks (Long, & Jian , 2021).
no code implementations • 2 Feb 2023 • YiXuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu
In this method, a dual-task 3D backbone is developed to extract both panoptic- and detection-level features from the input LiDAR point cloud.
no code implementations • CVPR 2022 • Hamidreza Fazlali, YiXuan Xu, Yuan Ren, Bingbing Liu
In our method, the 3D object detection backbone in Bird's-Eye-View (BEV) plane is augmented by the injection of Range-View (RV) feature maps from the 3D panoptic segmentation backbone.
no code implementations • 2 Nov 2021 • Enxu Li, Ryan Razani, YiXuan Xu, Bingbing Liu
A fast and accurate panoptic segmentation system for LiDAR point clouds is crucial for autonomous driving vehicles to understand the surrounding objects and scenes.
no code implementations • 31 Aug 2021 • Enxu Li, Ryan Razani, YiXuan Xu, Liu Bingbing
Thus, we propose to use a novel centroid-aware repel loss as an additional term to effectively supervise the network to differentiate each object cluster with its neighbours.