29 citations · 70 across the 41 of their papers we have counts for
4 papers · 1 filter
Open-set 3D Object Detection
Jun Cen, Peng Yun, Junhao Cai +2
3D object detection has been wildly studied in recent years, especially for robot perception systems. However, existing 3D object detection is under a closed-set condition, meaning…
Deep Metric Learning for Open World Semantic Segmentation
Jun Cen, Peng Yun, Junhao Cai +2
Classical close-set semantic segmentation networks have limited ability to detect out-of-distribution (OOD) objects, which is important for safety-critical applications such as aut…
MPI: Multi-receptive and Parallel Integration for Salient Object Detection
Han Sun, Jun Cen, Ningzhong Liu +2
The semantic representation of deep features is essential for image context understanding, and effective fusion of features with different semantic representations can significantl…
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Liguang Zhou, Jun Cen, Xingchao Wang +3
Scene recognition is a fundamental task in robotic perception. For human beings, scene recognition is reasonable because they have abundant object knowledge of the real world. The…