Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper
• 2412.10360 • Published
• 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 • 46 -
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 34 -
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
Paper • 2501.07783 • Published • 8 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 214 -
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Paper • 2503.07365 • Published • 61 -
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 • 15 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 137 -
OmniCaptioner: One Captioner to Rule Them All
Paper • 2504.07089 • Published • 20 -
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
Paper • 2504.05541 • Published • 15 -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 13 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 306 -
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Paper • 2504.09641 • Published • 16 -
Multimodal Long Video Modeling Based on Temporal Dynamic Context
Paper • 2504.10443 • Published • 3 -
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 64 -
Seed1.5-VL Technical Report
Paper • 2505.07062 • Published • 155 -
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
Paper • 2505.05464 • Published • 11 -
Aya Vision: Advancing the Frontier of Multilingual Multimodality
Paper • 2505.08751 • Published • 13 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 98 -
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Paper • 2505.16933 • Published • 34 -
LaViDa: A Large Diffusion Language Model for Multimodal Understanding
Paper • 2505.16839 • Published • 13 -
Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper • 2506.09344 • Published • 31 -
Is Extending Modality The Right Path Towards Omni-Modality?
Paper • 2506.01872 • Published • 24 -
Hidden in plain sight: VLMs overlook their visual representations
Paper • 2506.08008 • Published • 7 -
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Paper • 2506.09985 • Published • 31 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 131 -
Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor
Paper • 2507.07106 • Published • 2 -
ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts
Paper • 2507.20939 • Published • 57 -
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
Paper • 2507.22607 • Published • 47 -
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
Paper • 2510.09008 • Published • 16 -
StreamingVLM: Real-Time Understanding for Infinite Video Streams
Paper • 2510.09608 • Published • 51 -
OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows
Paper • 2510.03506 • Published • 15 -
V-Thinker: Interactive Thinking with Images
Paper • 2511.04460 • Published • 97 -
Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers
Paper • 2511.01617 • Published • 3 -
VideoSSR: Video Self-Supervised Reinforcement Learning
Paper • 2511.06281 • Published • 25 -
Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum
Paper • 2510.27571 • Published • 19 -
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
Paper • 2511.02712 • Published • 5