activity
20242026
collaborators

7 papers

cs.CV2026

Scene-Adaptive VLA: Efficient Autonomous Driving via Dynamic Layer Routing

Yujia Yang, Quan Yuan, Jiawei Fan +5

Vision-Language-Action (VLA) models offer a promising paradigm for autonomous driving. However, the massive parameter scale of VLAs strains onboard computational resources during r…

cs.AI2026

CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception

Weize Li, Yang Li, Quan Yuan +3

Collaborative perception enhances environment understanding through multi-agent information sharing, but its performance in real-world scenarios is constrained by heterogeneous sen…

cs.CV2025

NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception

Congzhang Shao, Quan Yuan, Guiyang Luo +6

Collaborative perception improves task performance by expanding the perception range through information sharing among agents. . Immutable heterogeneity poses a significant challen…

cs.CV2025

Beyond BEV: Optimizing Point-Level Tokens for Collaborative Perception

Yang Li, Quan Yuan, Guiyang Luo +6

Collaborative perception allows agents to enhance their perceptual capabilities by exchanging intermediate features. Existing methods typically organize these intermediate features…

eess.SY2025

Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies

Guiyang Luo, Jinglin Li, Qixun Zhang +6

The low-altitude economy (LAE) is rapidly advancing toward intelligence, connectivity, and coordination, bringing new challenges in dynamic airspace management, unmanned aerial veh…

cs.CV2024

One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception

Yuchen Xia, Quan Yuan, Guiyang Luo +6

Collaborative perception in autonomous driving significantly enhances the perception capabilities of individual agents. Immutable heterogeneity, where agents have different and fix…

cs.CV2024

CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model

Yang Li, Quan Yuan, Guiyang Luo +5

By sharing complementary perceptual information, multi-agent collaborative perception fosters a deeper understanding of the environment. Recent studies on collaborative perception…