视频理解论文趋势 2023–2026
视频识别与理解
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 2,261 篇被归入该主题的论文。
主要结论
- 视频理解论文从 2023 年的 319 篇增长到 2026 年的 832 篇,三年间扩大到约 2.6 倍。
- CVPR 是发视频理解论文最多的会议,2023–2026 年共 1,037 篇,占四个会议总量的 46%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 116 篇。
- 在「计算机视觉」的 5 个主题里,它的 2026 年论文数排第 3;同组增长最快的图像生成是 2.2 倍,视频理解是 2.6 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 47 | 44 | 34 | 194 | 319 |
| 2024 | 113 | 47 | 67 | 204 | 431 |
| 2025 | 222 | 95 | 64 | 298 | 679 |
| 2026 | 229 | 148 | 114 | 341 | 832 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video
- ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
- ICLR 2026Action-Guided Attention for Video Action Anticipation
- CVPR 20264D-RGPT Toward Region-level 4D Understanding via Perceptual Distillation
- NeurIPS 20254DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
- ICML 2025$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
- ICLR 2025Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
- CVPR 20254D-Fly: Fast 4D Reconstruction from a Single Monocular Video
- NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
- ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
- ICLR 2024Don't Judge by the Look: Towards Motion Coherent Video Representation
- CVPR 2024Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
- NeurIPS 2023A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship
- ICML 2023Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
- ICLR 2023A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- CVPR 20231000 FPS HDR Video With a Spike-RGB Hybrid Camera
- NeurIPS 2026AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers
- ICML 2026AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
- ICLR 2026Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
- CVPR 2026Accelerating Streaming Video Large Language Models via Hierarchical Token Compression
全部视频理解论文
共 334 篇,第 2 / 7 页
- ICLR 2026IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?
- ICLR 2026Jailbreaking on Text-to-Video Models via Scene Splitting Strategy
- ICLR 2026Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding
- ICLR 2026LH-DECEPTION: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions
- ICLR 2026LightCtrl: Training-free Controllable Video Relighting
- ICLR 2026Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models
- ICLR 2026LLaVAction: evaluating and training multi-modal large language models for action understanding
- ICLR 2026Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
- ICLR 2026Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
- ICLR 2026MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
- ICLR 2026Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs
- ICLR 2026Memento: Toward an All-Day Proactive Assistant for Ultra-Long Streaming Video
- ICLR 2026Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
- ICLR 2026MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning
- ICLR 2026MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models
- ICLR 2026Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
- ICLR 2026Monocular Normal Estimation via Shading Sequence Estimation
- ICLR 2026MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs
- ICLR 2026NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis
- ICLR 2026Neuron-Level Analysis of Cultural Understanding in Large Language Models
- ICLR 2026OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding
- ICLR 2026OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
- ICLR 2026On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
- ICLR 2026On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud Recognition
- ICLR 2026Only Brains Align with Brains: Cross-Region Patterns Expose Limits of Normative Models
- ICLR 2026Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
- ICLR 2026ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
- ICLR 2026Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models
- ICLR 2026Post-Training Quantization for Video Matting
- ICLR 2026PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
- ICLR 2026Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
- ICLR 2026Procedural Mistake Detection via Action Effect Modeling
- ICLR 2026Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions
- ICLR 2026Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression
- ICLR 2026QueryStream: Advancing Streaming Video Understanding with Query-Aware Pruning and Proactive Response
- ICLR 2026Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models
- ICLR 2026RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization
- ICLR 2026Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen Teachers
- ICLR 2026RIVER: Real-time Video Interaction Benchmark
- ICLR 2026ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding
- ICLR 2026Seeing What’s Not There: Negation Understanding Needs More Than Training
- ICLR 2026SPIKE-RL: Video-LLMs meet Bayesian Surprise
- ICLR 2026ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs
- ICLR 2026StochasTok: Improving Fine-Grained Subword Understanding in LLMs
- ICLR 2026StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
- ICLR 2026Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
- ICLR 2026StreamingVLM: Real-Time Understanding for Infinite Video Streams
- ICLR 2026SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs
- ICLR 2026The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding
- ICLR 2026Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查视频理解在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "video-understanding"}
常见问题
- 2023–2026 年四大会议一共有多少篇视频理解论文?
- 共 2,261 篇,按年份分别是 2023 年 319 篇、2024 年 431 篇、2025 年 679 篇、2026 年 832 篇。
- NeurIPS 2026 有多少篇视频理解论文?
- NeurIPS 2026 有 229 篇视频理解论文,上一届是 222 篇。
- ICLR 2026 有多少篇视频理解论文?
- ICLR 2026 有 148 篇视频理解论文,上一届是 95 篇。
- ICML 2026 有多少篇视频理解论文?
- ICML 2026 有 114 篇视频理解论文,上一届是 64 篇。
- CVPR 2026 有多少篇视频理解论文?
- CVPR 2026 有 341 篇视频理解论文,上一届是 298 篇。
- 哪个会议的视频理解论文最多?
- CVPR,2023–2026 年共 1,037 篇。