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Found 5 papers, 1 papers with code
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video
Second, we introduce a novel loss to explicitly enforce consistency across generated views both in space and in time.
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
We call these models Large Content and Behavior Models (LCBMs).
VADER: Video Alignment Differencing and Retrieval
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos.
Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention
We propose a method to detect individualized highlights for users on given target videos based on their preferred highlight clips marked on previous videos they have watched.
HighlightMe: Detecting Highlights from Human-Centric Videos
We train our network to map the activity- and interaction-based latent structural representations of the different modalities to per-frame highlight scores based on the representativeness of the frames.
