Multi-modal data-efficient 3d scene understanding for autonomous driving
Efficient data utilization is crucial for advancing 3D scene understanding in autonomous
driving, where reliance on heavily human-annotated LiDAR point clouds challenges fully …
driving, where reliance on heavily human-annotated LiDAR point clouds challenges fully …
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Foundation models have indeed made a profound impact on various fields, emerging as
pivotal components that significantly shape the capabilities of intelligent systems. In the …
pivotal components that significantly shape the capabilities of intelligent systems. In the …
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
World models can foresee the outcomes of different actions, which is of paramount
importance for autonomous driving. Nevertheless, existing driving world models still have …
importance for autonomous driving. Nevertheless, existing driving world models still have …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
Recent advancements in foundation models (FMs) have unlocked new prospects in
autonomous driving, yet the experimental settings of these studies are preliminary, over …
autonomous driving, yet the experimental settings of these studies are preliminary, over …
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
Z Zhang, Z Xu, W Yang, Q Liao, JH Xue - arXiv preprint arXiv:2405.17037, 2024 - arxiv.org
Existing 3D occupancy networks demand significant hardware resources, hindering the
deployment of edge devices. Binarized Neural Networks (BNN) offer substantially reduced …
deployment of edge devices. Binarized Neural Networks (BNN) offer substantially reduced …
MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video
H Wang, X Cai, X Sun, J Yue, S Zhang, F Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
Single-view clothed human reconstruction holds a central position in virtual reality
applications, especially in contexts involving intricate human motions. It presents notable …
applications, especially in contexts involving intricate human motions. It presents notable …