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 114 篇,第 1 / 3 页
- ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
- ICML 20264DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping
- ICML 2026A Fine-Grained Understanding of Uniform Convergence for Halfspaces
- ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
- ICML 2026ActiveScope: Actively Seeking and Correcting Perception for MLLMs
- ICML 2026AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
- ICML 2026Benchmarking and Enhancing VLM for Compressed Image Understanding
- ICML 2026CE$^4$L: Continual Ego, Exo, and Ego-Exo Learning
- ICML 2026Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
- ICML 2026CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
- ICML 2026CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
- ICML 2026Decouple and Cache: KV Cache Construction for Streaming Video Understanding
- ICML 2026Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
- ICML 2026DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs
- ICML 2026DRFusion: Drift-Resilient Temporally Consistent Infrared–Visible Video Fusion
- ICML 2026EAKV: An Entropy-Driven Adaptive KV Compression Framework for Long Video Understanding
- ICML 2026EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Video Generation
- ICML 2026EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
- ICML 2026Eigenvectors of Experts are Training-free Non-collapsing Routers
- ICML 2026Explainable Forensics of Manipulated Segments in Untrimmed Long Videos
- ICML 2026Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
- ICML 2026FlowNar: Scalable Streaming Narration for Long-Form Videos
- ICML 2026Foreground-Aware Token Routing Vision Transformer for Real-Time Satellite Video Tracking
- ICML 2026FrameOracle: Learning What to See and How Much to See in Videos
- ICML 2026From Content to Knowledge: Lightning Fast Long-Video Understanding with Neural Knowledge Representations
- ICML 2026From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
- ICML 2026GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth
- ICML 2026Gradient Descent as a Perceptron Algorithm: Understanding Dynamics and Implicit Acceleration
- ICML 2026IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
- ICML 2026ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
- ICML 2026Is One Layer Enough? Understanding Inference Dynamics in Tabular Foundation Models
- ICML 2026Keep It in Mind: User Centric Continual Spatial Intelligence Reasoning in Egocentric Video Streams
- ICML 2026Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
- ICML 2026Learning Latent Action World Models in the Wild
- ICML 2026Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models
- ICML 2026Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization
- ICML 2026Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention
- ICML 2026LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
- ICML 2026LMM4-IC4K: A Large Multimodal Model Powered Integrated Circuit Footprint Geometry Understanding
- ICML 2026LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution
- ICML 2026MACD: Model-Aware Contrastive Decoding via Counterfactual Data for Video-LLMs
- ICML 2026MetaphorVU: Towards Metaphorical Video Understanding
- ICML 2026Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
- ICML 2026More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
- ICML 2026MUSE: Resolving Manifold Misalignment in Visual Tokenization via Topological Orthogonality
- ICML 2026Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
- ICML 2026PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video Diffusion
- ICML 2026Per-example Gradients: a New Frontier for Understanding and Improving Optimizers
- ICML 2026Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions
- ICML 2026Positive Distribution Shift as a Framework for Understanding Tractable Learning
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。