Search Results for author:
Found 4 papers, 3 papers with code
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
In the rapidly evolving field of autonomous driving, precise segmentation of LiDAR data is crucial for understanding complex 3D environments.
Video Diffusion Models are Training-free Motion Interpreter and Controller
MOFT provides a distinct set of benefits, including the ability to encode comprehensive motion information with clear interpretability, extraction without the need for training, and generalizability across diverse architectures.
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Based on the definition, UniHSI constitutes a Large Language Model (LLM) Planner to translate language prompts into task plans in the form of CoC, and a Unified Controller that turns CoC into uniform task execution.
Position-Guided Point Cloud Panoptic Segmentation Transformer
DEtection TRansformer (DETR) started a trend that uses a group of learnable queries for unified visual perception.
Ranked #1 on
Panoptic Segmentation
on SemanticKITTI
