Large Vision-Language Models (LVLMs) have recently achieved remarkable
s...
The neural rendering of humans is a topic of great research significance...
Point cloud registration is a fundamental problem in many domains.
Pract...
Label distribution learning (LDL) is a new machine learning paradigm for...
Point cloud completion estimates complete shapes from incomplete point c...
Large language models (LLMs) have demonstrated impressive zero-shot abil...
In this work, we devote ourselves to the challenging task of Unsupervise...
Multi-view clustering can make use of multi-source information for
unsup...
Multi-view clustering can explore consistent information from different ...
Leveraging multi-modal fusion, especially between camera and LiDAR, has
...
3D scene flow estimation from point clouds is a low-level 3D motion
perc...
With information from multiple input modalities, sensor fusion-based
alg...
While numerous 3D detection works leverage the complementary relationshi...
High definition (HD) maps have demonstrated their essential roles in ena...
Detecting dynamic objects and predicting static road information such as...
The availability of many real-world driving datasets is a key reason beh...
The availability of real-world datasets is the prerequisite to develop o...
Mapping and localization is a critical module of autonomous driving, and...