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 1,037 篇，第 21 / 21 页
- CVPR 2023System-Status-Aware Adaptive Network for Online Streaming Video Understanding
- CVPR 2023TarViS: A Unified Approach for Target-Based Video Segmentation
- CVPR 2023Test of Time: Instilling Video-Language Models With a Sense of Time
- CVPR 2023Therbligs in Action: Video Understanding Through Motion Primitives
- CVPR 2023TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
- CVPR 2023Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
- CVPR 2023Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
- CVPR 2023Transformer-Based Unified Recognition of Two Hands Manipulating Objects
- CVPR 2023Two-Shot Video Object Segmentation
- CVPR 2023ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
- CVPR 2023Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity
- CVPR 2023Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
- CVPR 2023Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
- CVPR 2023Understanding and Improving Features Learned in Deep Functional Maps
- CVPR 2023Understanding and Improving Visual Prompting: A Label-Mapping Perspective
- CVPR 2023Understanding Deep Generative Models With Generalized Empirical Likelihoods
- CVPR 2023Understanding Imbalanced Semantic Segmentation Through Neural Collapse
- CVPR 2023Understanding Masked Autoencoders via Hierarchical Latent Variable Models
- CVPR 2023Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
- CVPR 2023Use Your Head: Improving Long-Tail Video Recognition
- CVPR 2023Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
- CVPR 2023Video Compression With Entropy-Constrained Neural Representations
- CVPR 2023Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior
- CVPR 2023Video Event Restoration Based on Keyframes for Video Anomaly Detection
- CVPR 2023Video Probabilistic Diffusion Models in Projected Latent Space
- CVPR 2023Video Test-Time Adaptation for Action Recognition
- CVPR 2023Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
- CVPR 2023VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
- CVPR 2023VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking
- CVPR 2023VideoTrack: Learning To Track Objects via Video Transformer
- CVPR 2023VindLU: A Recipe for Effective Video-and-Language Pretraining
- CVPR 2023Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting
- CVPR 2023VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs
- CVPR 2023VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval
- CVPR 2023Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network
- CVPR 2023Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos
- CVPR 2023WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding
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。