1 citations · 3 across the 13 of their papers we have counts for
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CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining
Jingyu Song, Yi Liu, Katherine A. Skinner
Camera-radar (CR) fusion is a practical sensing configuration for autonomous driving, but existing models are typically trained with task-specific supervision, limiting reusable re…
FishDetector-R1: Unified MLLM-Based Framework with Reinforcement Fine-Tuning for Weakly Supervised Fish Detection, Segmentation, and Counting
Yi Liu, Jingyu Song, Vedanth Kallakuri +1
Analyzing underwater fish imagery is critical for ecological monitoring but remains difficult due to visual degradation and costly annotations. We introduce FishDetector-R1, a unif…
DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
Jingyu Song, Zhenxin Li, Shiyi Lan +6
Benchmarking autonomous driving planners to align with human judgment remains a critical challenge, as state-of-the-art metrics like the Extended Predictive Driver Model Score (EPD…
MemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction
Jingyu Song, Xudong Chen, Liupei Lu +2
High-definition (HD) maps provide environmental information for autonomous driving systems and are essential for safe planning. While existing methods with single-frame input achie…
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
Lingjun Zhao, Jingyu Song, Katherine A. Skinner
In the field of 3D object detection for autonomous driving, LiDAR-Camera (LC) fusion is the top-performing sensor configuration. Still, LiDAR is relatively high cost, which hinders…
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments
Joey Wilson, Jingyu Song, Yuewei Fu +5
This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from random…