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20242026
most citedRCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

EviDent-CBCT: Evidence-Bottlenecked Report Generation from Dental CBCT under Non-Exhaustive Report Supervision

Ruiyang Hao, Zhi Qin Tan, Yulan He +2

Dento-maxillofacial cone-beam CT (CBCT) reports may contain dozens of tooth-specific, anatomical, and spatial findings from a single 3D scan. Learning to generate such reports from…

cs.CV2026

ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction

Haibao Yu, Kuntao Xiao, Jiahang Wang +7

High-fidelity visual reconstruction and novel-view synthesis are essential for realistic closed-loop evaluation in autonomous driving. While 4D Gaussian Splatting (4DGS) offers a p…

cs.CV2025

DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation

Haibao Yu, Wenxian Yang, Ruiyang Hao +4

Closed-loop evaluation is increasingly critical for end-to-end autonomous driving. Current closed-loop benchmarks using the CARLA simulator rely on manually configured traffic scen…

cs.CV2025

StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving

Ruiyang Hao, Bowen Jing, Haibao Yu +1

Personalization, while extensively studied in conventional autonomous driving pipelines, has been largely overlooked in the context of end-to-end autonomous driving (E2EAD), despit…

cs.CV2024★ 1 cited

RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception

Ruiyang Hao, Siqi Fan, Yingru Dai +7

The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent yea…