3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection
Peisheng Qian, Jie Xu, Xulei Yang +1
Incremental 3D object detection requires a detector to learn novel object classes while remembering previously learned ones over sequentially arriving data. Previous methods, prima…
cs.LG2024★ 3 cited
Graph Neural Networks for Protein-Protein Interactions -- A Short Survey
Mingda Xu, Peisheng Qian, Ziyuan Zhao +4
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes. Numerous strategies have been proposed for predicting PPIs, and among them, graph-based…
cs.CV2022★ 2 cited
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Ziyuan Zhao, Mingxi Xu, Peisheng Qian +2
Deep learning has achieved notable success in 3D object detection with the advent of large-scale point cloud datasets. However, severe performance degradation in the past trained c…