视频理解论文趋势 2023–2026

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。

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 44 篇，第 1 / 1 页

1. ICLR 2023A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
2. ICLR 2023AIM: Adapting Image Models for Efficient Video Action Recognition
3. ICLR 2023Boosting Adversarial Transferability using Dynamic Cues
4. ICLR 2023Characterizing intrinsic compositionality in transformers with Tree Projections
5. ICLR 2023Deconstructing Distributions: A Pointwise Framework of Learning
6. ICLR 2023DensePure: Understanding Diffusion Models for Adversarial Robustness
7. ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
8. ICLR 2023Does Deep Learning Learn to Abstract? A Systematic Probing Framework
9. ICLR 2023Exploring Temporally Dynamic Data Augmentation for Video Recognition
10. ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
11. ICLR 2023GAIN: On the Generalization of Instructional Action Understanding
12. ICLR 2023ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
13. ICLR 2023Is Attention All That NeRF Needs?
14. ICLR 2023MaskViT: Masked Visual Pre-Training for Video Prediction
15. ICLR 2023Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
16. ICLR 2023MIMT: Masked Image Modeling Transformer for Video Compression
17. ICLR 2023MultiViz: Towards Visualizing and Understanding Multimodal Models
18. ICLR 2023SQA3D: Situated Question Answering in 3D Scenes
19. ICLR 2023Temporal Coherent Test Time Optimization for Robust Video Classification
20. ICLR 2023The Curious Case of Benign Memorization
21. ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
22. ICLR 2023Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
23. ICLR 2023Towards Smooth Video Composition
24. ICLR 2023Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
25. ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
26. ICLR 2023Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
27. ICLR 2023Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
28. ICLR 2023Understanding and Adopting Rational Behavior by Bellman Score Estimation
29. ICLR 2023Understanding DDPM Latent Codes Through Optimal Transport
30. ICLR 2023Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
31. ICLR 2023Understanding Embodied Reference with Touch-Line Transformer
32. ICLR 2023Understanding Influence Functions and Datamodels via Harmonic Analysis
33. ICLR 2023Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
34. ICLR 2023Understanding new tasks through the lens of training data via exponential tilting
35. ICLR 2023Understanding the Covariance Structure of Convolutional Filters
36. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
37. ICLR 2023Understanding The Robustness of Self-supervised Learning Through Topic Modeling
38. ICLR 2023Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
39. ICLR 2023Understanding Train-Validation Split in Meta-Learning with Neural Networks
40. ICLR 2023Understanding weight-magnitude hyperparameters in training binary networks
41. ICLR 2023Understanding Why Generalized Reweighting Does Not Improve Over ERM
42. ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
43. ICLR 2023Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
44. ICLR 2023Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding

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。