8 papers · 1 filter
LARAD: Layout-Aware Road Anomaly Detection via Spatial-Logic Reasoning
Shiyi Mu, Xujie Chen, Shugong Xu
Accurate open-world obstacle detection is critical for autonomous driving. Current anomaly segmentation methods suffer from a fundamental blind spot: they over-rely on texture nove…
DDStereo: Efficient Dual Decoder Transformers for Stereo 3D Road Anomaly Detection
Shiyi Mu, Zichong Gu, Zhiqi Ai +2
Stereo-based 3D obstacle perception for autonomous driving is currently constrained by an imbalanced triplet: deployment cost, detection accuracy, and open-set adaptability. While…
StereoDETR: Stereo-based Transformer for 3D Object Detection
Shiyi Mu, Zichong Gu, Zhiqi Ai +3
Compared to monocular 3D object detection, stereo-based 3D methods offer significantly higher accuracy but still suffer from high computational overhead and latency. The state-of-t…
Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline
Shiyi Mu, Zichong Gu, Hanqi Lyu +2
3D detection technology is widely used in the field of autonomous driving, with its application scenarios gradually expanding from enclosed highways to open conventional roads. For…
Great X: A Unified Multi-Modal Simulator Bridging the Sim2Real Gap for 6G
Yuan Gao, Kongwu Huang, Jun Jiang +2
Large-scale, precisely synchronized multi-modal datasets are critical for data-driven sixth-generation (6G) wireless research, yet real-world collection remains costly and difficul…
TLD: A Vehicle Tail Light signal Dataset and Benchmark
Jinhao Chai, Shiyi Mu, Shugong Xu
Understanding other drivers' intentions is crucial for safe driving. The role of taillights in conveying these intentions is underemphasized in current autonomous driving systems.…
HENet: Forcing a Network to Think More for Font Recognition
Jingchao Chen, Shiyi Mu, Shugong Xu +1
Although lots of progress were made in Text Recognition/OCR in recent years, the task of font recognition is remaining challenging. The main challenge lies in the subtle difference…
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
Zhiwei Jia, Shugong Xu, Shiyi Mu +3
Although recent works based on deep learning have made progress in improving recognition accuracy on scene text recognition, how to handle low-quality text images in end-to-end dee…