Yu Xiang

Latest

• Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
• FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
• HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
• Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
• RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
• DexYCB: A Benchmark for Capturing Hand Grasping of Objects
• RGB-D Local Implicit Function for Depth Completion of Transparent Objects
• Learning Composable Behavior Embeddings for Long-horizon Visual Navigation
• Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
• Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection
• LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
• Scaling Local Control to Large-Scale Topological Navigation
• Self-supervised 6D Object Pose Estimation for Robot Manipulation
• The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
• PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
• PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes