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 611 篇,第 9 / 13 页
- NeurIPS 2025Understanding Data Influence in Reinforcement Finetuning
- NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
- NeurIPS 2025Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
- NeurIPS 2025Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
- NeurIPS 2025Understanding outer learning rates in Local SGD
- NeurIPS 2025Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
- NeurIPS 2025Understanding Prompt Tuning and In-Context Learning via Meta-Learning
- NeurIPS 2025Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
- NeurIPS 2025Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem
- NeurIPS 2025Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
- NeurIPS 2025Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
- NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
- NeurIPS 2025Understanding while Exploring: Semantics-driven Active Mapping
- NeurIPS 2025UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
- NeurIPS 2025UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
- NeurIPS 2025UniTok: a Unified Tokenizer for Visual Generation and Understanding
- NeurIPS 2025Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
- NeurIPS 2025Universal Visuo-Tactile Video Understanding for Embodied Interaction
- NeurIPS 2025UniViT: Unifying Image and Video Understanding in One Vision Encoder
- NeurIPS 2025Unleashing Hour-Scale Video Training for Long Video-Language Understanding
- NeurIPS 2025URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
- NeurIPS 2025UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
- NeurIPS 2025VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations
- NeurIPS 2025VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
- NeurIPS 2025VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness
- NeurIPS 2025VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption
- NeurIPS 2025Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
- NeurIPS 2025Vid-SME: Membership Inference Attacks against Large Video Understanding Models
- NeurIPS 2025ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
- NeurIPS 2025VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
- NeurIPS 2025Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
- NeurIPS 2025Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
- NeurIPS 2025VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
- NeurIPS 2025VideoLucy: Deep Memory Backtracking for Long Video Understanding
- NeurIPS 2025VideoMAR: Autoregressive Video Generation with Continuous Tokens
- NeurIPS 2025VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory
- NeurIPS 2025VideoVLA: Video Generators Can Be Generalizable Robot Manipulators
- NeurIPS 2025Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion
- NeurIPS 2025Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought
- NeurIPS 2025VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions
- NeurIPS 2025VividFace: A Robost and High-Fidelity Video Face Swapping Framework
- NeurIPS 2025VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models
- NeurIPS 2025Web-Scale Collection of Video Data for 4D Animal Reconstruction
- NeurIPS 2025What are you sinking? A geometric approach on attention sink
- NeurIPS 2025What Do Latent Action Models Actually Learn?
- NeurIPS 2025What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers
- NeurIPS 2025What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
- NeurIPS 2025When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
- NeurIPS 2025When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
- NeurIPS 2025ZeroPatcher: Training-free Sampler for Video Inpainting and Editing
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。