Saved in:
| Main Authors: | Zhou, Yunsong, Huang, Linyan, Bu, Qingwen, Zeng, Jia, Li, Tianyu, Qiu, Hang, Zhu, Hongzi, Guo, Minyi, Qiao, Yu, Li, Hongyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.04593 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SimGen: Simulator-conditioned Driving Scene Generation
by: Zhou, Yunsong, et al.
Published: (2024)
by: Zhou, Yunsong, et al.
Published: (2024)
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
by: Liu, Quan, et al.
Published: (2024)
by: Liu, Quan, et al.
Published: (2024)
Decoupled Diffusion Sparks Adaptive Scene Generation
by: Zhou, Yunsong, et al.
Published: (2025)
by: Zhou, Yunsong, et al.
Published: (2025)
GenAD: Generalized Predictive Model for Autonomous Driving
by: Yang, Jiazhi, et al.
Published: (2024)
by: Yang, Jiazhi, et al.
Published: (2024)
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
by: Li, Tianyu, et al.
Published: (2023)
by: Li, Tianyu, et al.
Published: (2023)
A Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices
by: Li, Yunzhe, et al.
Published: (2024)
by: Li, Yunzhe, et al.
Published: (2024)
StreamEQA: Towards Streaming Video Understanding for Embodied Scenarios
by: Wang, Yifei, et al.
Published: (2025)
by: Wang, Yifei, et al.
Published: (2025)
EmbodiedSplat: Online Feed-Forward Semantic 3DGS for Open-Vocabulary 3D Scene Understanding
by: Lee, Seungjun, et al.
Published: (2026)
by: Lee, Seungjun, et al.
Published: (2026)
Learning Manipulation by Predicting Interaction
by: Zeng, Jia, et al.
Published: (2024)
by: Zeng, Jia, et al.
Published: (2024)
DriveMA: Driving Vision-Language-Action Models with verifiable Meta-Actions
by: Zheng, Weicheng, et al.
Published: (2026)
by: Zheng, Weicheng, et al.
Published: (2026)
BlinkBud: Detecting Hazards from Behind via Sampled Monocular 3D Detection on a Single Earbud
by: Li, Yunzhe, et al.
Published: (2025)
by: Li, Yunzhe, et al.
Published: (2025)
Detect Anything 3D in the Wild
by: Zhang, Hanxue, et al.
Published: (2025)
by: Zhang, Hanxue, et al.
Published: (2025)
SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models
by: Guo, Xianda, et al.
Published: (2024)
by: Guo, Xianda, et al.
Published: (2024)
FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving
by: Xie, Chengen, et al.
Published: (2026)
by: Xie, Chengen, et al.
Published: (2026)
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
A Dual-domain Regularization Method for Ring Artifact Removal of X-ray CT
by: Zhu, Hongyang, et al.
Published: (2024)
by: Zhu, Hongyang, et al.
Published: (2024)
RescueBench: Can Embodied Agents Save Lives in the Wild ?
by: Wu, Kui, et al.
Published: (2026)
by: Wu, Kui, et al.
Published: (2026)
Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation
by: Zhu, Ziyu, et al.
Published: (2025)
by: Zhu, Ziyu, et al.
Published: (2025)
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
by: Li, Hongyang, et al.
Published: (2023)
by: Li, Hongyang, et al.
Published: (2023)
Fully Sparse 3D Occupancy Prediction
by: Liu, Haisong, et al.
Published: (2023)
by: Liu, Haisong, et al.
Published: (2023)
Visual Point Cloud Forecasting enables Scalable Autonomous Driving
by: Yang, Zetong, et al.
Published: (2023)
by: Yang, Zetong, et al.
Published: (2023)
FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation
by: Huang, Linyan, et al.
Published: (2025)
by: Huang, Linyan, et al.
Published: (2025)
SimScale: Learning to Drive via Real-World Simulation at Scale
by: Tian, Haochen, et al.
Published: (2025)
by: Tian, Haochen, et al.
Published: (2025)
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding
by: Fan, Yue, et al.
Published: (2024)
by: Fan, Yue, et al.
Published: (2024)
MTGS: Multi-Traversal Gaussian Splatting
by: Li, Tianyu, et al.
Published: (2025)
by: Li, Tianyu, et al.
Published: (2025)
Tracking Meets Large Multimodal Models for Driving Scenario Understanding
by: Ishaq, Ayesha, et al.
Published: (2025)
by: Ishaq, Ayesha, et al.
Published: (2025)
Universal Visuo-Tactile Video Understanding for Embodied Interaction
by: Xie, Yifan, et al.
Published: (2025)
by: Xie, Yifan, et al.
Published: (2025)
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
by: Cheng, Zhili, et al.
Published: (2025)
by: Cheng, Zhili, et al.
Published: (2025)
$χ_{0}$: Resource-Aware Robust Manipulation via Taming Distributional Inconsistencies
by: Yu, Checheng, et al.
Published: (2026)
by: Yu, Checheng, et al.
Published: (2026)
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval
by: Ning, Zhenyu, et al.
Published: (2025)
by: Ning, Zhenyu, et al.
Published: (2025)
WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
by: Jiang, Haoran, et al.
Published: (2025)
by: Jiang, Haoran, et al.
Published: (2025)
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
by: Zhang, Qingwen, et al.
Published: (2024)
by: Zhang, Qingwen, et al.
Published: (2024)
Applications of Large Scale Foundation Models for Autonomous Driving
by: Huang, Yu, et al.
Published: (2023)
by: Huang, Yu, et al.
Published: (2023)
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding
by: Wang, Yunsong, et al.
Published: (2024)
by: Wang, Yunsong, et al.
Published: (2024)
Enhancing Autonomous Driving Safety with Collision Scenario Integration
by: Wang, Zi, et al.
Published: (2025)
by: Wang, Zi, et al.
Published: (2025)
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding
by: Ishaq, Ayesha, et al.
Published: (2025)
by: Ishaq, Ayesha, et al.
Published: (2025)
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
by: Gao, Shenyuan, et al.
Published: (2024)
by: Gao, Shenyuan, et al.
Published: (2024)
CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting
by: Xu, Haoran, et al.
Published: (2025)
by: Xu, Haoran, et al.
Published: (2025)
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding
by: Zeng, Tong, et al.
Published: (2025)
by: Zeng, Tong, et al.
Published: (2025)
AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding
by: Guo, Hao, et al.
Published: (2024)
by: Guo, Hao, et al.
Published: (2024)
Similar Items
-
SimGen: Simulator-conditioned Driving Scene Generation
by: Zhou, Yunsong, et al.
Published: (2024) -
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
by: Liu, Quan, et al.
Published: (2024) -
Decoupled Diffusion Sparks Adaptive Scene Generation
by: Zhou, Yunsong, et al.
Published: (2025) -
GenAD: Generalized Predictive Model for Autonomous Driving
by: Yang, Jiazhi, et al.
Published: (2024) -
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
by: Li, Tianyu, et al.
Published: (2023)