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20182023
most citedReal-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors

36 citations · 210 across the 46 of their papers we have counts for

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cs.CV2023

YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation

Arul Selvam Periyasamy, Arash Amini, Vladimir Tsaturyan +1

6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications. The state-of-the-art models for pose estimation are convolutional neural network…

cs.CV202312 cited

VR Facial Animation for Immersive Telepresence Avatars

Andre Rochow, Max Schwarz, Michael Schreiber +1

VR Facial Animation is necessary in applications requiring clear view of the face, even though a VR headset is worn. In our case, we aim to animate the face of an operator who is c…

cs.CV2022

Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels

Arul Selvam Periyasamy, Luis Denninger, Sven Behnke

Object pose estimation is a necessary prerequisite for autonomous robotic manipulation, but the presence of symmetry increases the complexity of the pose estimation task. Existing…

cs.CV2022

Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors

Julian Hau, Simon Bultmann, Sven Behnke

Autonomous robots that interact with their environment require a detailed semantic scene model. For this, volumetric semantic maps are frequently used. The scene understanding can…

cs.CV202230 cited

Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation

Simon Bultmann, Jan Quenzel, Sven Behnke

Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for d…

cs.CV2022

Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detections

Bastian Pätzold, Simon Bultmann, Sven Behnke

Calibration of multi-camera systems, i.e. determining the relative poses between the cameras, is a prerequisite for many tasks in computer vision and robotics. Camera calibration i…