HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
cs.CV, cs.AI
Submitted: 2026-05-04
Updated: 2026-10-15
Terminology
Sources
- LongVILA: Scaling Long-Context Visual Language Models for Long Videos
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
- MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
- LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
- Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
- Qwen2.5-VL Technical Report
- CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
- LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
- TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
- Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams
- HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
- LLaVA-Video: Video Instruction Tuning With Synthetic Data
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