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 42 / 46 页
- CVPR 2023MonoHuman: Animatable Human Neural Field From Monocular Video
- CVPR 2023MOSO: Decomposing MOtion, Scene and Object for Video Prediction
- CVPR 2023Motion Information Propagation for Neural Video Compression
- CVPR 2023MOVES: Manipulated Objects in Video Enable Segmentation
- CVPR 2023Movies2Scenes: Using Movie Metadata To Learn Scene Representation
- CVPR 2023Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
- CVPR 2023Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
- CVPR 2023Natural Language-Assisted Sign Language Recognition
- CVPR 2023NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action
- CVPR 2023Neural Video Compression With Diverse Contexts
- CVPR 2023Non-Contrastive Unsupervised Learning of Physiological Signals From Video
- CVPR 2023OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images
- CVPR 2023Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video
- CVPR 2023On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer
- CVPR 2023OpenGait: Revisiting Gait Recognition Towards Better Practicality
- CVPR 2023OpenScene: 3D Scene Understanding With Open Vocabularies
- CVPR 2023PanelNet: Understanding 360 Indoor Environment via Panel Representation
- CVPR 2023Panoptic Lifting for 3D Scene Understanding With Neural Fields
- CVPR 2023Panoptic Video Scene Graph Generation
- CVPR 2023PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding
- CVPR 2023PIVOT: Prompting for Video Continual Learning
- CVPR 2023PointListNet: Deep Learning on 3D Point Lists
- CVPR 2023Procedure-Aware Pretraining for Instructional Video Understanding
- CVPR 2023ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding
- CVPR 2023PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers
- CVPR 2023Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
- CVPR 2023Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation
- CVPR 2023Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments
- CVPR 2023Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
- CVPR 2023Real-Time Controllable Denoising for Image and Video
- CVPR 2023Reconstructing Signing Avatars From Video Using Linguistic Priors
- CVPR 2023Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models
- CVPR 2023Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
- CVPR 2023Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring
- CVPR 2023SCOTCH and SODA: A Transformer Video Shadow Detection Framework
- CVPR 2023Search-Map-Search: A Frame Selection Paradigm for Action Recognition
- CVPR 2023Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding
- CVPR 2023Selective Structured State-Spaces for Long-Form Video Understanding
- CVPR 2023Self-Positioning Point-Based Transformer for Point Cloud Understanding
- CVPR 2023Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
- CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
- CVPR 2023Shape-Aware Text-Driven Layered Video Editing
- CVPR 2023Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
- CVPR 2023Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
- CVPR 2023Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
- CVPR 2023Streaming Video Model
- CVPR 2023Structured Sparsity Learning for Efficient Video Super-Resolution
- CVPR 2023SVFormer: Semi-Supervised Video Transformer for Action Recognition
- CVPR 2023SViTT: Temporal Learning of Sparse Video-Text Transformers
- CVPR 2023System-Status-Aware Adaptive Network for Online Streaming Video Understanding
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。