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

共 1,037 篇,第 20 / 21 页

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

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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