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CoPE-VideoLM: Codec Primitives For Efficient Video Language Models
Paper • 2602.13191 • Published • 34 -
KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs
Paper • 2602.03615 • Published -
TiFRe: Text-guided Video Frame Reduction for Efficient Video Multi-modal Large Language Models
Paper • 2602.08861 • Published -
Causality-Aware Temporal Projection for Video Understanding in Video-LLMs
Paper • 2601.01804 • Published
Irina Abdullaeva
IrinaAbdullaeva
AI & ML interests
NLP, DL, Multi-modality
Recent Activity
upvoted a paper about 21 hours ago
Harnessing Streaming Video in the Wild upvoted a paper about 1 month ago
MOSS-VL Technical Report upvoted a paper 8 months ago
VidEoMT: Your ViT is Secretly Also a Video Segmentation ModelOrganizations
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CoPE-VideoLM: Codec Primitives For Efficient Video Language Models
Paper • 2602.13191 • Published • 34 -
KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs
Paper • 2602.03615 • Published -
TiFRe: Text-guided Video Frame Reduction for Efficient Video Multi-modal Large Language Models
Paper • 2602.08861 • Published -
Causality-Aware Temporal Projection for Video Understanding in Video-LLMs
Paper • 2601.01804 • Published
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