30 citations · 37 across the 6 of their papers we have counts for
6 papers · 1 filter
Generalized Data Weighting via Class-level Gradient Manipulation
Can Chen, Shuhao Zheng, Xi Chen +4
Label noise and class imbalance are two major issues coexisting in real-world datasets. To alleviate the two issues, state-of-the-art methods reweight each instance by leveraging a…
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
Autonomous systems need to localize and track surrounding objects in 3D space for safe motion planning. As a result, 3D multi-object tracking (MOT) plays a vital role in autonomous…
RoIFusion: 3D Object Detection from LiDAR and Vision
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
When localizing and detecting 3D objects for autonomous driving scenes, obtaining information from multiple sensor (e.g. camera, LIDAR) typically increases the robustness of 3D det…
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
In order to achieve better performance for point cloud analysis, many researchers apply deeper neural networks using stacked Multi-Layer-Perceptron (MLP) convolutions over irregula…
Fast Hierarchical Neural Network for Feature Learning on Point Cloud
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
The analyses relying on 3D point clouds are an utterly complex task, often involving million of points, but also requiring computationally efficient algorithms because of many real…
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
Exploiting fine-grained semantic features on point cloud is still challenging due to its irregular and sparse structure in a non-Euclidean space. Among existing studies, PointNet p…