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 29 / 46 页
- NeurIPS 2025Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
- NeurIPS 2025Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
- NeurIPS 2025ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
- NeurIPS 2025RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video
- NeurIPS 2025SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding
- NeurIPS 2025SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
- NeurIPS 2025SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models
- NeurIPS 2025See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
- NeurIPS 2025Seeing the Arrow of Time in Large Multimodal Models
- NeurIPS 2025Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
- NeurIPS 2025Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
- NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
- NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
- NeurIPS 2025ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
- NeurIPS 2025ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
- NeurIPS 2025SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
- NeurIPS 2025Smooth Regularization for Efficient Video Recognition
- NeurIPS 2025Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
- NeurIPS 2025SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
- NeurIPS 2025Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
- NeurIPS 2025Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
- NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
- NeurIPS 2025Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding
- NeurIPS 2025Storyboard-guided Alignment for Fine-grained Video Action Recognition
- NeurIPS 2025StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
- NeurIPS 2025StreamForest: Efficient Online Video Understanding with Persistent Event Memory
- NeurIPS 2025TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
- NeurIPS 2025Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
- NeurIPS 2025TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
- NeurIPS 2025Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames
- NeurIPS 2025Temporal In‑Context Fine‑Tuning for Versatile Control of Video Diffusion Models
- NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
- NeurIPS 2025The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
- NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding
- NeurIPS 2025Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
- NeurIPS 2025To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL
- NeurIPS 2025Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
- NeurIPS 2025Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
- NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
- NeurIPS 2025Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
- NeurIPS 2025Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
- NeurIPS 2025Towards Understanding Camera Motions in Any Video
- NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
- NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
- NeurIPS 2025Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
- NeurIPS 2025Tracking and Understanding Object Transformations
- NeurIPS 2025Training-Free Efficient Video Generation via Dynamic Token Carving
- NeurIPS 2025Training-free Online Video Step Grounding
- NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
- NeurIPS 2025Two Causally Related Needles in a Video Haystack
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。