Kehan Li

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upvoted a collection 3 days ago

VideoLLaMA3

Collection

Frontier Multimodal Foundation Models for Video Understanding • 13 items • Updated 3 days ago • 8

upvoted a paper 4 days ago

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Paper • 2501.13106 • Published 5 days ago • 69

upvoted a paper 12 days ago

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published 13 days ago • 268

upvoted 2 papers 24 days ago

VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Paper • 2501.00599 • Published 27 days ago • 41

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published 26 days ago • 98

upvoted 2 papers 2 months ago

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

Paper • 2411.08380 • Published Nov 13, 2024 • 25

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 63

upvoted 3 collections 3 months ago

Inf-CL

Collection

The corresponding demos/checkpoints/papers/datasets of Inf-CL. • 2 items • Updated 3 days ago • 3

VideoLLaMA

Collection

The first edition of VideoLLaMA • 6 items • Updated 23 days ago • 3

VideoLLaMA2

Collection

Optimized VideoLLaMA with improved spatial-temporal modeling and better audio understanding capability • 13 items • Updated 3 days ago • 20

upvoted 2 papers 3 months ago

Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss

Paper • 2410.17243 • Published Oct 22, 2024 • 89

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published Oct 16, 2024 • 31