4 papers
Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
Chao Tian, Zikun Zhou, Chao Yang +2
RGB-T detectors leverage the complementary strengths of visible and thermal infrared modalities, achieving robust performance under challenging conditions. Many of them resort to h…
Prototype Perturbation for Relaxing Alignment Constraints in Backward-Compatible Learning
Zikun Zhou, Yushuai Sun, Wenjie Pei +2
The traditional paradigm to update retrieval models requires re-computing the embeddings of the gallery data, a time-consuming and computationally intensive process known as backfi…
Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
Chao Tian, Zikun Zhou, Chao Yang +3
The advantage of RGB-Thermal (RGB-T) detection lies in its ability to perform modality fusion and integrate cross-modality complementary information, enabling robust detection unde…
ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking
Jianqiu Chen, Zikun Zhou, Xin Li +3
Bin-picking is a practical and challenging robotic manipulation task, where accurate 6D pose estimation plays a pivotal role. The workpieces in bin-picking are typically textureles…