16 citations · 29 across the 26 of their papers we have counts for
6 papers · 1 filter
HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
Yongliang Lin, Yongzhi Su, Praveen Nathan +7
In this work, we present a novel dense-correspondence method for 6DoF object pose estimation from a single RGB-D image. While many existing data-driven methods achieve impressive p…
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View
Lukas Stäcker, Philipp Heidenreich, Jason Rambach +1
By exploiting complementary sensor information, radar and camera fusion systems have the potential to provide a highly robust and reliable perception system for advanced driver ass…
Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
Suresh Guttikonda, Jason Rambach
In recent years, the research community has shown a lot of interest to panoramic images that offer a 360-degree directional perspective. Multiple data modalities can be fed, and co…
U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
Yan Di, Chenyangguang Zhang, Ruida Zhang +6
In this paper, we propose U-RED, an Unsupervised shape REtrieval and Deformation pipeline that takes an arbitrary object observation as input, typically captured by RGB images or s…
Achieving RGB-D level Segmentation Performance from a Single ToF Camera
Pranav Sharma, Jigyasa Singh Katrolia, Jason Rambach +3
Depth is a very important modality in computer vision, typically used as complementary information to RGB, provided by RGB-D cameras. In this work, we show that it is possible to o…
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion
Lukas Stäcker, Shashank Mishra, Philipp Heidenreich +2
Radars and cameras belong to the most frequently used sensors for advanced driver assistance systems and automated driving research. However, there has been surprisingly little res…