56 citations · 91 across the 6 of their papers we have counts for
8 papers
PartiCam: Camera Controlled Video Generation with Reward Guidance
Amine Ouasfi, Runjia Li, Junlin Han +3
We present PartiCam, a training-free Particle filtering rooted method for improved Camera controlled video generation. Generating videos that follow a precisely specified camera tr…
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
Xi Wang, Robin Courant, Jinglei Shi +2
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 generate…
TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM
Mathieu Gonzalez, Eric Marchand, Amine Kacete +1
Most classical SLAM systems rely on the static scene assumption, which limits their applicability in real world scenarios. Recent SLAM frameworks have been proposed to simultaneous…
TwistSLAM: Constrained SLAM in Dynamic Environment
Mathieu Gonzalez, Eric Marchand, Amine Kacete +1
Classical visual simultaneous localization and mapping (SLAM) algorithms usually assume the environment to be rigid. This assumption limits the applicability of those algorithms as…
S3LAM: Structured Scene SLAM
Mathieu Gonzalez, Eric Marchand, Amine Kacete +1
We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene. Semantic information is relevant as it contains high level information whic…
Tracking Pedestrian Heads in Dense Crowd
Ramana Sundararaman, Cedric De Almeida Braga, Eric Marchand +1
Tracking humans in crowded video sequences is an important constituent of visual scene understanding. Increasing crowd density challenges visibility of humans, limiting the scalabi…