Search Results for author:
Found 5 papers, 2 papers with code
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
Through iterative clustering of masks showing high view consensus, we generate a series of clusters, each representing a distinct 3D instance.
3D Instance Segmentation
3D Open-Vocabulary Instance Segmentation
+6
Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation
In this paper, we propose an Adaptive Zone-aware Hierarchical Planner (AZHP) to explicitly divides the navigation process into two heterogeneous phases, i. e., sub-goal setting via zone partition/selection (high-level action) and sub-goal executing (low-level action), for hierarchical planning.
Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild
We for the first time propose a point cloud based hand joint tracking network, HandTrackNet, to estimate the inter-frame hand joint motion.
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Here we propose a simple yet effective method for unsupervised domain adaptation on point clouds by employing a self-supervised task of learning geometry-aware implicits, which plays two critical roles in one shot.
Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production
We demonstrate the effectiveness of the technique for forecasting oil production in steam flood scenarios.
