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 431 篇，第 9 / 9 页
- NeurIPS 2024TopoFR: A Closer Look at Topology Alignment on Face Recognition
- NeurIPS 2024Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
- NeurIPS 2024Towards Understanding Evolving Patterns in Sequential Data
- NeurIPS 2024Towards Understanding Extrapolation: a Causal Lens
- NeurIPS 2024Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
- NeurIPS 2024TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation
- NeurIPS 2024Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
- NeurIPS 2024Understanding and Minimising Outlier Features in Transformer Training
- NeurIPS 2024Understanding Bias in Large-Scale Visual Datasets
- NeurIPS 2024Understanding Emergent Abilities of Language Models from the Loss Perspective
- NeurIPS 2024Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
- NeurIPS 2024Understanding Hallucinations in Diffusion Models through Mode Interpolation
- NeurIPS 2024Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
- NeurIPS 2024Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
- NeurIPS 2024Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
- NeurIPS 2024Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
- NeurIPS 2024Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
- NeurIPS 2024Understanding the Gains from Repeated Self-Distillation
- NeurIPS 2024Understanding the Role of Equivariance in Self-supervised Learning
- NeurIPS 2024Understanding the Transferability of Representations via Task-Relatedness
- NeurIPS 2024Understanding Transformers via N-Gram Statistics
- NeurIPS 2024Understanding Visual Feature Reliance through the Lens of Complexity
- NeurIPS 2024VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
- NeurIPS 2024VFIMamba: Video Frame Interpolation with State Space Models
- NeurIPS 2024Video Diffusion Models are Training-free Motion Interpreter and Controller
- NeurIPS 2024Video Token Merging for Long Video Understanding
- NeurIPS 2024VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
- NeurIPS 2024VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
- NeurIPS 2024Vript: A Video Is Worth Thousands of Words
- NeurIPS 2024Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
- NeurIPS 2024When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
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。