5 citations · 11 across the 7 of their papers we have counts for
7 papers
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving
Xinyu Zhang, Li Wang, Jian Chen +11
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental perception compared to widely adopted cameras and LiDARs. Compared with commonly used 3D r…
Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS
Li Wang, Xinyu Zhang, Fachuan Zhao +6
Non-maximum suppression (NMS) is an essential post-processing module used in many 3D object detection frameworks to remove overlapping candidate bounding boxes. However, an overrel…
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer
Xinyu Zhang, Li Wang, Zhiqiang Jiang +6
Local Feature Matching, an essential component of several computer vision tasks (e.g., structure from motion and visual localization), has been effectively settled by Transformer-b…
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings
Lei Yang, Jiaxin Yu, Xinyu Zhang +6
Although the majority of recent autonomous driving systems concentrate on developing perception methods based on ego-vehicle sensors, there is an overlooked alternative approach th…
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Xinyu Zhang, Zhiwei Li, Zhenhong Zou +5
Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurat…
UFO: Unified Feature Optimization
Teng Xi, Yifan Sun, Deli Yu +13
This paper proposes a novel Unified Feature Optimization (UFO) paradigm for training and deploying deep models under real-world and large-scale scenarios, which requires a collecti…