activity
20002023
most citedDirecting Cinematographic Drones

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

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…

cs.CV2021

Where to look at the movies : Analyzing visual attention to understand movie editing

Alexandre Bruckert, Marc Christie, Olivier Le Meur

In the process of making a movie, directors constantly care about where the spectator will look on the screen. Shot composition, framing, camera movements or editing are tools comm…

cs.CV2019

Deep Saliency Models : The Quest For The Loss Function

Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu +2

Recent advances in deep learning have pushed the performances of visual saliency models way further than it has ever been. Numerous models in the literature present new ways to des…

cs.RO2017★ 2 cited

Directing Cinematographic Drones

Quentin Galvane, Christophe Lino, Marc Christie +4

Quadrotor drones equipped with high quality cameras have rapidely raised as novel, cheap and stable devices for filmmakers. While professional drone pilots can create aesthetically…

cs.AI2000

Interval Constraint Solving for Camera Control and Motion Planning

Frederic Benhamou, Frederic Goualard, Eric Languenou +1

Many problems in robust control and motion planning can be reduced to either find a sound approximation of the solution space determined by a set of nonlinear inequalities, or to t…