Search Results for author:
Found 7 papers, 2 papers with code
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
This paper presents JAWS, an optimization-driven approach that achieves the robust transfer of visual cinematic features from a reference in-the-wild video clip to a newly generated clip.
TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM
However they are often unable to estimate the canonical pose of the objects and exhibit a low object tracking accuracy.
TwistSLAM: Constrained SLAM in Dynamic Environment
Classical visual simultaneous localization and mapping (SLAM) algorithms usually assume the environment to be rigid.
S3LAM: Structured Scene SLAM
We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene.
Tracking Pedestrian Heads in Dense Crowd
Moreover, we also propose a new head detector, HeadHunter, which is designed for small head detection in crowded scenes.
Ranked #3 on
Multiple Object Tracking
on CroHD
L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets
Estimating the 3D pose of an object is a challenging task that can be considered within augmented reality or robotic applications.
Visual Servoing from Deep Neural Networks
We present a deep neural network-based method to perform high-precision, robust and real-time 6 DOF visual servoing.
