10 citations · 20 across the 25 of their papers we have counts for
27 papers
CoVLM-Bench: A Real-World Benchmark for Cooperative Driving Question Answering and Planning
Kang Yang, Shuai Liu, Hang Li +3
Vision-language models (VLMs) have made substantial progress in autonomous driving, but their success has primarily been studied in ego-centric scenes. Infrastructure-side observat…
UECP: Uncertainty-Enhanced Collaborative Perception
Kang Yang, Tianci Bu, Peng Wang +3
Collaborative perception serves as a pivotal solution to enhance the perception capability of individual agents in autonomous driving, where a core challenge lies in seeking reliab…
CCKS: Consensus-based Communication and Knowledge Sharing
Jinyuan Zu, Xiaowei Lv, Yongcai Wang +5
In Decentralized Training and Decentralized Execution (DTDE) for cooperative Multi-Agent Reinforcement Learning (MARL), action-advising-based knowledge sharing promotes interpretab…
BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception
Kang Yang, Tianci Bu, Peng Wang +2
Most existing heterogeneous cooperative perception methods depend on prior preparation like offline joint training or tailored collaborator-model adaptation. Such preprocessing is,…
EIMC: Efficient Instance-aware Multi-modal Collaborative Perception
Kang Yang, Peng Wang, Lantao Li +4
Multi-modal collaborative perception calls for great attention to enhancing the safety of autonomous driving. However, current multi-modal approaches remain a ``local fusion to com…
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…
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Hongyu Sun, Qiuhong Ke, Ming Cheng +4
This paper proposes a general solution to enable point cloud recognition models to handle distribution shifts at test time. Unlike prior methods, which rely heavily on training dat…
Is Discretization Fusion All You Need for Collaborative Perception?
Kang Yang, Tianci Bu, Lantao Li +3
Collaborative perception in multi-agent system enhances overall perceptual capabilities by facilitating the exchange of complementary information among agents. Current mainstream c…
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…
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun, Qiuhong Ke, Yongcai Wang +4
This paper investigates the 3D domain generalization (3DDG) ability of large 3D models based on prevalent prompt learning. Recent works demonstrate the performances of 3D point clo…
VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D Shape Understanding
Hongyu Sun, Yongcai Wang, Peng Wang +3
View-based methods have demonstrated promising performance in 3D shape understanding. However, they tend to make strong assumptions about the relations between views or learn the m…
An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery
Xiaojia Xu, Haoyu Liu, Xiaowei Lv +2
Detecting locally, non-overlapping, near-clique densest subgraphs is a crucial problem for community search in social networks. As a vertex may be involved in multiple overlapped l…
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…
PRISM: PRogressive dependency maxImization for Scale-invariant image Matching
Xudong Cai, Yongcai Wang, Lun Luo +5
Image matching aims at identifying corresponding points between a pair of images. Currently, detector-free methods have shown impressive performance in challenging scenarios, thank…
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…
DroneMOT: Drone-based Multi-Object Tracking Considering Detection Difficulties and Simultaneous Moving of Drones and Objects
Peng Wang, Yongcai Wang, Deying Li
Multi-object tracking (MOT) on static platforms, such as by surveillance cameras, has achieved significant progress, with various paradigms providing attractive performances. Howev…
VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
Xudong Cai, Yongcai Wang, Zhe Huang +2
The availability of city-scale Lidar maps enables the potential of city-scale place recognition using mobile cameras. However, the city-scale Lidar maps generally need to be compre…
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun, Yongcai Wang, Wang Chen +2
This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expens…
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding
Hongyu Sun, Yongcai Wang, Peng Wang +2
This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval. We systematically investigate the existing methods for aggregating m…
AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports
Hongyu Sun, Yongcai Wang, Xudong Cai +5
One fundamental limitation to the research of bird strike prevention is the lack of a large-scale dataset taken directly from real-world airports. Existing relevant datasets are ei…