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 2,261 篇,第 15 / 46 页
- NeurIPS 2026Learning Motion-Appearance Coupling Priors for Solving Video Inverse Problems
- NeurIPS 2026LifeStream: Token Life-Cycle Modeling for Training-Free Online Video Understanding
- NeurIPS 2026LogicDirector: Enforcing Temporal Composition in Text-to-Video Generation
- NeurIPS 2026LongSCOP: Semantically Consistent Long Video Outpainting
- NeurIPS 2026LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute
- NeurIPS 2026MedHorizon: Towards Long-context Medical Video Understanding in the Wild
- NeurIPS 2026MEMEVO: A Memory-Evolved Video Agent for Long Video Understanding
- NeurIPS 2026MemoryFusion: Cross-Temporal Memory Learning for Multimodal Video Fusion
- NeurIPS 2026MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection
- NeurIPS 2026MobileWan: Closing the Quality Gap for Mobile Video Diffusion
- NeurIPS 2026MonarchRT: Efficient Attention for Real-Time Video Generation
- NeurIPS 2026MSR-3D: Multi-Mode Semantic Representation for Open-Vocabulary 3D Scene Understanding
- NeurIPS 2026Muon Does Not Converge on Convex Lipschitz Functions
- NeurIPS 2026My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization
- NeurIPS 2026NIKA: Efficient Neural Video Representation via Structured Latent Diversity
- NeurIPS 2026Not All Layers Are Equal in Image-to-Video Transfer
- NeurIPS 2026OLA-Place: Cross-Modal Place Recognition without Global Descriptors
- NeurIPS 2026ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration
- NeurIPS 2026OneCanvas: 3D Scene Understanding via Panoramic Reprojection
- NeurIPS 2026OpenCoF: Learning to Reason Through Video Generation
- NeurIPS 2026PanoWorld: Geometry-Consistent Panoramic Video World Modeling
- NeurIPS 2026ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning
- NeurIPS 2026PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?
- NeurIPS 2026PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video
- NeurIPS 2026PISCO: Precise Video Instance Insertion with Sparse Control
- NeurIPS 2026PIVOT: A Unified Agentic Framework for Streaming Long-Video Understanding
- NeurIPS 2026PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition
- NeurIPS 2026Principia: Relational Physics Tests for Video Models
- NeurIPS 2026PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing
- NeurIPS 2026ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
- NeurIPS 2026PuppetGait: Generalizing Gait Recognition via 3D Body-Aligned LVM Features
- NeurIPS 2026Q-ARVD: Quantizing Autoregressive Video Diffusion Models
- NeurIPS 2026Q-Focus: Let the Question Guide What to See in Long Videos
- NeurIPS 2026Rate-Constrained Edge Metadata for Sender–Receiver Generative Video Super-Resolution
- NeurIPS 2026RAVEN-Bench: A Paired EO-IR Video QA Benchmark for Aerial Multimodal Understanding
- NeurIPS 2026Reading Positional Coupling in Transformers with Diffusion Scores
- NeurIPS 2026Recreating Video Arenas via Automated Preference Scoring
- NeurIPS 2026Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
- NeurIPS 2026RelGS: Relation-Aware Gaussian Splatting for Open-Vocabulary 3D Scene Understanding
- NeurIPS 2026Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and Large Language Models
- NeurIPS 2026Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency
- NeurIPS 2026Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
- NeurIPS 2026RigPAPR: Rig-Based Animation of Static Neural Point Clouds from a Single-View Video
- NeurIPS 2026SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding
- NeurIPS 2026SCG-HF: Semantic Consistency Grouping for Hierarchical Fusion in Video Emotion Recognition
- NeurIPS 2026Seed-Your-Motion: Householder Orthogonal Noise for Motion-Controllable Video Diffusion Models
- NeurIPS 2026Seeing Through the Chain: Understanding and Mitigating Hallucinations in Multimodal Large Reasoning Models
- NeurIPS 2026SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search
- NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
- NeurIPS 2026SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues
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。