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Collections including paper arxiv:2405.08344

MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Paper • 2405.20340 • Published May 30 • 19
Spectrally Pruned Gaussian Fields with Neural Compensation

Paper • 2405.00676 • Published May 1 • 8
Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Paper • 2404.18212 • Published Apr 28 • 27
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29 • 118

video llm works

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15 • 30
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14 • 12

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 21
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding

Paper • 2405.08344 • Published May 14 • 12

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

foundation model

DreamLLM: Synergistic Multimodal Comprehension and Creation

Paper • 2309.11499 • Published Sep 20, 2023 • 58
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 84
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding

Paper • 2405.08344 • Published May 14 • 12

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