10 citations · 11 across the 10 of their papers we have counts for
11 papers
CoLMIN: LLM-based Multi-Decision Path Negotiation for Cooperative Autonomous Driving
Zhe Huang, Zhaoxin Fan, Shuo Wang +3
Multi-vehicle cooperative autonomous driving enhances the safety and reliability of autonomous driving systems through information sharing among connected vehicles, demonstrating s…
MapDream: Task-Driven Map Learning for Vision-Language Navigation
Guoxin Lian, Shuo Wang, Yucheng Wang +7
Vision-Language Navigation (VLN) requires agents to follow natural language instructions in partially observed 3D environments, motivating map representations that aggregate spatia…
Progress-Think: Semantic Progress Reasoning for Vision-Language Navigation
Shuo Wang, Yucheng Wang, Guoxin Lian +9
Vision-Language Navigation requires agents to act coherently over long horizons by understanding not only local visual context but also how far they have advanced within a multi-st…
Mem4D: Decoupling Static and Dynamic Memory for Dynamic Scene Reconstruction
Xudong Cai, Shuo Wang, Peng Wang +7
Reconstructing dense geometry for dynamic scenes from a monocular video is a critical yet challenging task. Recent memory-based methods enable efficient online reconstruction, but…
MonoDream: Monocular Vision-Language Navigation with Panoramic Dreaming
Shuo Wang, Yongcai Wang, Zhaoxin Fan +8
Vision-Language Navigation (VLN) tasks often leverage panoramic RGB and depth inputs to provide rich spatial cues for action planning, but these sensors can be costly or less acces…
Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
Shuo Wang, Yongcai Wang, Wanting Li +7
Vision-Language Navigation (VLN) is a critical task for developing embodied agents that can follow natural language instructions to navigate in complex real-world environments. Rec…
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
Zhe Huang, Shuo Wang, Yongcai Wang +1
Collaborative 3D object detection holds significant importance in the field of autonomous driving, as it greatly enhances the perception capabilities of each individual agent by fa…
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images
Xudong Cai, Yongcai Wang, Zhaoxin Fan +7
Photo-realistic scene reconstruction from sparse-view, uncalibrated images is highly required in practice. Although some successes have been made, existing methods are either Spars…
MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing
Shuo Wang, Wanting Li, Yongcai Wang +5
Deep visual odometry has demonstrated great advancements by learning-to-optimize technology. This approach heavily relies on the visual matching across frames. However, ambiguous m…
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System
Shuo Wang, Yongcai Wang, Zhimin Xu +5
For interacting with mobile objects in unfamiliar environments, simultaneously locating, mapping, and tracking the 3D poses of multiple objects are crucially required. This paper p…
RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment
Zhe Huang, Shuo Wang, Yongcai Wang +3
Collaborative autonomous driving with multiple vehicles usually requires the data fusion from multiple modalities. To ensure effective fusion, the data from each individual modalit…