1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2025
MotionV2V: Editing Motion in a Video
Ryan Burgert, Charles Herrmann, Forrester Cole +4
While generative video models have achieved remarkable fidelity and consistency, applying these capabilities to video editing remains a complex challenge. Recent research has explo…
cs.LG2025★ 1 cited
Improving realistic semi-supervised learning with doubly robust estimation
Khiem Pham, Charles Herrmann, Ramin Zabih
A major challenge in Semi-Supervised Learning (SSL) is the limited information available about the class distribution in the unlabeled data. In many real-world applications this ar…
cs.CV2024
Motion Prompting: Controlling Video Generation with Motion Trajectories
Daniel Geng, Charles Herrmann, Junhwa Hur +11
Motion control is crucial for generating expressive and compelling video content; however, most existing video generation models rely mainly on text prompts for control, which stru…