9 papers
Rethinking 3D Shape Generation: Diffusion over Superquadrics
Zhiyang Liu, Wanze Li, Yuwei Wu +4
Diffusion models have advanced 3D shape generation, yet most methods still denoise in high-cardinality spaces (e.g., voxel/SDF grids, meshes, or point clouds), which is computation…
RMGS-SLAM: Real-time Multi-sensor Gaussian Splatting SLAM
Dongen Li, Yi Liu, Junqi Liu +8
Achieving real-time Simultaneous Localization and Mapping (SLAM) based on 3D Gaussian splatting (3DGS) in large-scale real-world environments remains challenging, as existing metho…
IMPACT: Behavioral Intention-aware Multimodal Trajectory Prediction with Adaptive Context Trimming
Jiawei Sun, Xibin Yue, Jiahui Li +6
While most prior research has focused on improving the precision of multimodal trajectory predictions, the explicit modeling of multimodal behavioral intentions (e.g., yielding, ov…
3D Affordance Keypoint Detection for Robotic Manipulation
Zhiyang Liu, Ruiteng Zhao, Lei Zhou +6
This paper presents a novel approach for affordance-informed robotic manipulation by introducing 3D keypoints to enhance the understanding of object parts' functionality. The propo…
Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving
Bin Hu, Zijian Lu, Haicheng Liao +7
Motion planning for autonomous driving must handle multiple plausible futures while remaining computationally efficient. Recent end-to-end systems and world-model-based planners pr…
PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
Chengran Yuan, Zijian Lu, Zhanqi Zhang +8
End-to-end motion planning is promising for simplifying complex autonomous driving pipelines. However, challenges such as scene understanding and effective prediction for decision-…