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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, 2024 • 20
Spectrally Pruned Gaussian Fields with Neural Compensation

Paper • 2405.00676 • Published May 1, 2024 • 9
Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Paper • 2404.18212 • Published Apr 28, 2024 • 28
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29, 2024 • 120

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

Paper • 2402.04252 • Published Feb 6, 2024 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 41
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

video llm works

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

Paper • 2404.16994 • Published Apr 25, 2024 • 36
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11, 2024 • 27
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15, 2024 • 33
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14, 2024 • 13

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20, 2024 • 24
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding

Paper • 2405.08344 • Published May 14, 2024 • 14

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, 2024 • 87
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 128
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding

Paper • 2405.08344 • Published May 14, 2024 • 14

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