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 2,261 篇，第 26 / 46 页
- ICML 2025Potemkin Understanding in Large Language Models
- ICML 2025RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
- ICML 2025Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
- ICML 2025SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
- ICML 2025Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
- ICML 2025SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity
- ICML 2025Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
- ICML 2025Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback
- ICML 2025Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
- ICML 2025Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
- ICML 2025Towards Understanding Parametric Generalized Category Discovery on Graphs
- ICML 2025Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
- ICML 2025TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
- ICML 2025Understanding and Improving Length Generalization in Recurrent Models
- ICML 2025Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
- ICML 2025Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
- ICML 2025Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
- ICML 2025Understanding Chain-of-Thought in LLMs through Information Theory
- ICML 2025Understanding Fixed Predictions via Confined Regions
- ICML 2025Understanding Generalization in Quantum Machine Learning with Margins
- ICML 2025Understanding High-Dimensional Bayesian Optimization
- ICML 2025Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
- ICML 2025Understanding Mode Connectivity via Parameter Space Symmetry
- ICML 2025Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
- ICML 2025Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
- ICML 2025Understanding Nonlinear Implicit Bias via Region Counts in Input Space
- ICML 2025Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
- ICML 2025Understanding the difficulties of posterior predictive estimation
- ICML 2025Understanding the Emergence of Multimodal Representation Alignment
- ICML 2025Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
- ICML 2025Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra
- ICML 2025Understanding the Limits of Deep Tabular Methods with Temporal Shift
- ICML 2025Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
- ICML 2025Understanding the Unfairness in Network Quantization
- ICML 2025Unifying Specialized Visual Encoders for Video Language Models
- ICML 2025Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
- ICML 2025VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
- ICML 2025VideoRoPE: What Makes for Good Video Rotary Position Embedding?
- ICML 2025WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
- NeurIPS 20254DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
- NeurIPS 2025A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
- NeurIPS 2025A Signed Graph Approach to Understanding and Mitigating Oversmoothing
- NeurIPS 2025A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding
- NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
- NeurIPS 2025AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
- NeurIPS 2025AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark
- NeurIPS 2025AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
- NeurIPS 2025An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
- NeurIPS 2025Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
- NeurIPS 2025Asymmetric Dual-Lens Video Deblurring
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。