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Found 3 papers, 1 papers with code
FT2TF: First-Person Statement Text-To-Talking Face Generation
This achievement highlights our model capability to bridge first-person statements and dynamic face generation, providing insightful guidance for future work.
Localizing Moments in Long Video Via Multimodal Guidance
In this paper, we propose a method for improving the performance of natural language grounding in long videos by identifying and pruning out non-describable windows.
Ranked #1 on
Natural Language Moment Retrieval
on MAD
Natural Language Moment Retrieval
Natural Language Visual Grounding
+2
SCC: Semantic Context Cascade for Efficient Action Detection
Despite the recent advances in large-scale video analysis, action detection remains as one of the most challenging unsolved problems in computer vision.
