28 citations · 120 across the 20 of their papers we have counts for
10 papers · 2 filters
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering
Kai Xu, Xiao-Jun Wu, Wen-Bo Hu
Based on further studying the low-rank subspace clustering (LRSC) and L2-graph subspace clustering algorithms, we propose a F-graph subspace clustering algorithm with a symmetric c…
Decoupling Features and Coordinates for Few-shot RGB Relocalization
Siyan Dong, Songyin Wu, Yixin Zhuang +3
Cross-scene model adaption is crucial for camera relocalization in real scenarios. It is often preferable that a pre-learned model can be fast adapted to a novel scene with as few…
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu, Yixin Zhuang, Kai Xu +2
We introduce PQ-NET, a deep neural network which represents and generates 3D shapes via sequential part assembly. The input to our network is a 3D shape segmented into parts, where…
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans
Maciej Halber, Yifei Shi, Kai Xu +1
In depth-sensing applications ranging from home robotics to AR/VR, it will be common to acquire 3D scans of interior spaces repeatedly at sparse time intervals (e.g., as part of re…
Learning Part Generation and Assembly for Structure-aware Shape Synthesis
Jun Li, Chengjie Niu, Kai Xu
Learning powerful deep generative models for 3D shape synthesis is largely hindered by the difficulty in ensuring plausibility encompassing correct topology and reasonable geometry…
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction
Yifei Shi, Angel Xuan Chang, Zhelun Wu +2
Indoor scenes exhibit rich hierarchical structure in 3D object layouts. Many tasks in 3D scene understanding can benefit from reasoning jointly about the hierarchical context of a…