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cs.CV2026
STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding
Junho Kim, Hosu Lee, James M. Rehg +2
Recent progress in video large language models (Video-LLMs) has enabled strong offline reasoning over long and complex videos. However, real-world deployments increasingly require…
cs.CV2024
Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation
Se Jin Park, Chae Won Kim, Hyeongseop Rha +4
In this paper, we introduce a novel Face-to-Face spoken dialogue model. It processes audio-visual speech from user input and generates audio-visual speech as the response, marking…
cs.CV2024
Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing
Jeong Hun Yeo, Seunghee Han, Minsu Kim +1
In visual speech processing, context modeling capability is one of the most important requirements due to the ambiguous nature of lip movements. For example, homophenes, words that…