19 citations · 21 across the 5 of their papers we have counts for
5 papers
Exploring contextual modeling with linear complexity for point cloud segmentation
Yong Xien Chng, Xuchong Qiu, Yizeng Han +3
Point cloud segmentation is an important topic in 3D understanding that has traditionally has been tackled using either the CNN or Transformer. Recently, Mamba has emerged as a pro…
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
Heng Xiong, Changrong Guo, Jian Peng +5
Robotic object packing has broad practical applications in the logistics and automation industry, often formulated by researchers as the online 3D Bin Packing Problem (3D-BPP). How…
Adapting Vision-Language Model with Fine-grained Semantics for Open-Vocabulary Segmentation
Yong Xien Chng, Xuchong Qiu, Yizeng Han +3
Despite extensive research, open-vocabulary segmentation methods still struggle to generalize across diverse domains. To reduce the computational cost of adapting Vision-Language M…
Mask Grounding for Referring Image Segmentation
Yong Xien Chng, Henry Zheng, Yizeng Han +2
Referring Image Segmentation (RIS) is a challenging task that requires an algorithm to segment objects referred by free-form language expressions. Despite significant progress in r…
P2O-Calib: Camera-LiDAR Calibration Using Point-Pair Spatial Occlusion Relationship
Su Wang, Shini Zhang, Xuchong Qiu
The accurate and robust calibration result of sensors is considered as an important building block to the follow-up research in the autonomous driving and robotics domain. The curr…