Search Results for author: F. Christopher Holsinger

Found 2 papers, 0 papers with code

Depth-guided NeRF Training via Earth Mover's Distance

no code implementations19 Mar 2024 Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy

This work proposes a novel approach to uncertainty in depth priors for NeRF supervision.

Denoising

FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation

no code implementations20 Nov 2021 Julia Gong, F. Christopher Holsinger, Serena Yeung

In contrast to prior work that uses full optical flow, we introduce a new foreground-targeted visual warping approach that learns flow fields from VOS data.

Object Optical Flow Estimation +4

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