Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper
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2412.10360
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Published
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147
Image-Video MultiModal Understanding
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SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Paper • 2501.01245 • Published • 5 -
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
Paper • 2501.00599 • Published • 48 -
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 35 -
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
Paper • 2501.07783 • Published • 7 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 181 -
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Paper • 2503.07365 • Published • 56 -
GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding
Paper • 2503.10596 • Published • 18 -
Large-scale Pre-training for Grounded Video Caption Generation
Paper • 2503.10781 • Published • 16 -
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
Paper • 2504.01934 • Published • 22 -
LiveVQA: Live Visual Knowledge Seeking
Paper • 2504.05288 • Published • 13 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 109 -
OmniCaptioner: One Captioner to Rule Them All
Paper • 2504.07089 • Published • 17 -
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
Paper • 2504.05541 • Published • 14 -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 9 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 36 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 177 -
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Paper • 2504.09641 • Published • 11