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

每年论文数

各会议论文数

按年份和会议统计

视频理解论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023474434194319
20241134767204431
20252229564298679
2026229148114341832

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

全部视频理解论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 679 篇，第 13 / 14 页

  1. NeurIPS 2025The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
  2. NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding
  3. NeurIPS 2025Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
  4. NeurIPS 2025To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL
  5. NeurIPS 2025Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
  6. NeurIPS 2025Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
  7. NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
  8. NeurIPS 2025Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
  9. NeurIPS 2025Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
  10. NeurIPS 2025Towards Understanding Camera Motions in Any Video
  11. NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
  12. NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
  13. NeurIPS 2025Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
  14. NeurIPS 2025Tracking and Understanding Object Transformations
  15. NeurIPS 2025Training-Free Efficient Video Generation via Dynamic Token Carving
  16. NeurIPS 2025Training-free Online Video Step Grounding
  17. NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
  18. NeurIPS 2025Two Causally Related Needles in a Video Haystack
  19. NeurIPS 2025Understanding Adam Requires Better Rotation Dependent Assumptions
  20. NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
  21. NeurIPS 2025Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
  22. NeurIPS 2025Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
  23. NeurIPS 2025Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
  24. NeurIPS 2025Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
  25. NeurIPS 2025Understanding and Rectifying Safety Perception Distortion in VLMs
  26. NeurIPS 2025Understanding Bias Terms in Neural Representations
  27. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
  28. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models
  29. NeurIPS 2025Understanding Data Influence in Reinforcement Finetuning
  30. NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
  31. NeurIPS 2025Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
  32. NeurIPS 2025Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
  33. NeurIPS 2025Understanding outer learning rates in Local SGD
  34. NeurIPS 2025Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
  35. NeurIPS 2025Understanding Prompt Tuning and In-Context Learning via Meta-Learning
  36. NeurIPS 2025Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
  37. NeurIPS 2025Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem
  38. NeurIPS 2025Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
  39. NeurIPS 2025Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
  40. NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
  41. NeurIPS 2025Understanding while Exploring: Semantics-driven Active Mapping
  42. NeurIPS 2025UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
  43. NeurIPS 2025UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
  44. NeurIPS 2025UniTok: a Unified Tokenizer for Visual Generation and Understanding
  45. NeurIPS 2025Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
  46. NeurIPS 2025Universal Visuo-Tactile Video Understanding for Embodied Interaction
  47. NeurIPS 2025UniViT: Unifying Image and Video Understanding in One Vision Encoder
  48. NeurIPS 2025Unleashing Hour-Scale Video Training for Long Video-Language Understanding
  49. NeurIPS 2025URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
  50. NeurIPS 2025UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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