1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Robust Noisy Label Learning via Two-Stream Sample Distillation
Sihan Bai, Sanping Zhou, Zheng Qin +2
Noisy label learning aims to learn robust networks under the supervision of noisy labels, which plays a critical role in deep learning. Existing work either conducts sample selecti…
cs.CV2024★ 1 cited
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
Zhiyuan Yu, Zheng Qin, Lintao Zheng +1
Multi-instance point cloud registration estimates the poses of multiple instances of a model point cloud in a scene point cloud. Extracting accurate point correspondence is to the…
cs.CV2023
Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking
Yizhe Li, Sanping Zhou, Zheng Qin +3
Multi-Object Tracking (MOT) remains a vital component of intelligent video analysis, which aims to locate targets and maintain a consistent identity for each target throughout a vi…