3 citations · 3 across the 5 of their papers we have counts for
5 papers
L2G-Map: Local-to-Global Mapping via Hierarchical Diffusion Refinement and Elliptical Bayesian Fusion
Siyu Li, Xinying Hong, Fei Teng +5
Offline high-definition maps provide essential geometric and topological priors for autonomous driving systems. Pure-vision solutions have become the predominant paradigm for offli…
Detecting Heel Strike and toe off Events Using Kinematic Methods and LSTM Models
Longbin Zhang, Zhizhang Li, Xinyi Fu +11
Accurate gait event detection is crucial for gait analysis, rehabilitation, and assistive technology, particularly in exoskeleton control, where precise identification of stance an…
LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection
Fei Teng, Lingxin Huang, Buyin Deng +8
Light field cameras capture multi-view observations within a single exposure. However, existing studies are typically tailored to specific LF representations, leaving the field wit…
CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weather
Haoyuan Li, Qi Hu, Binjia Zhou +4
Visible-infrared image pairs provide complementary information, enhancing the reliability and robustness of object detection applications in real-world scenarios. However, most exi…
S-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection
Xuan He, Jin Yuan, Kailun Yang +2
Recently, transformer-based methods have shown exceptional performance in monocular 3D object detection, which can predict 3D attributes from a single 2D image. These methods typic…