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 832 篇,第 16 / 17 页
- NeurIPS 2026Single Shot HDR Recovery via a Video Diffusion Prior
- NeurIPS 2026SLVMBench: Skill Learning from Video Memory
- NeurIPS 2026Solaris: Building a Multiplayer Video World Model in Minecraft
- NeurIPS 2026Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance
- NeurIPS 2026Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
- NeurIPS 2026Spectral Progressive Diffusion for Efficient Image and Video Generation
- NeurIPS 2026SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
- NeurIPS 2026StakeBench: Evaluating Language Understanding Grounded in Market Commitment
- NeurIPS 2026StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos
- NeurIPS 2026Streaming Interventions: Can Video LLMs Correct Mistakes as They Occur?
- NeurIPS 2026StreamOV: Streaming Omni-Video Understanding via Evidence-Guided Memory and Response Triggering
- NeurIPS 2026Structure Over Scale: Learning Visual Reasoning from Pedagogical Video
- NeurIPS 2026Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging
- NeurIPS 2026SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework
- NeurIPS 2026SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes
- NeurIPS 2026TACO: Towards Task-Consistent Open-Vocabulary Adaptation in Video Recognition
- NeurIPS 2026TailCon: Mitigating Tail Signal Erosion through Memory Consolidation for Long-Tailed Recognition
- NeurIPS 2026TeMPO: Frame-Causal Token Compression for Efficient Video Large Language Model
- NeurIPS 2026Temporal Slice Learning for AI-Generated Video Detection with 400× Fewer FLOPs
- NeurIPS 2026The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show
- NeurIPS 2026The VLM as Sensor: Bayesian Active Search for Long Video Understanding
- NeurIPS 2026Toward Interactive Understanding of Code APIs
- NeurIPS 2026Toward Multimodal Sheet Music Recognition and Understanding
- NeurIPS 2026Towards Generalizable Partially Relevant Video Retrieval
- NeurIPS 2026Towards Understanding and Measuring Cognitive Atrophy in LLM Behaviour
- NeurIPS 2026Towards Understanding Momentum Acceleration in River-Valley Loss Landscape
- NeurIPS 2026Towards Understanding Self-Pretraining for Sequence Classification
- NeurIPS 2026Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective
- NeurIPS 2026TRACE: Trajectory-Aware Conceps for Explainable Video Understanding
- NeurIPS 2026Track4D: Representing Dense 3D Tracking for Video Diffusion Models
- NeurIPS 2026TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking
- NeurIPS 2026TrAction: Action Recognition with Sparse Trajectories
- NeurIPS 2026Transformers Converge to Invariant Algorithmic Cores
- NeurIPS 2026Transforming Image Editors into Video Editors
- NeurIPS 2026Tri-Prompting: Controllable Video Generation with Scene, Subject, and Motion Prompts
- NeurIPS 2026TTVidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
- NeurIPS 2026U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
- NeurIPS 2026Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
- NeurIPS 2026Understanding and Mitigating Under-Confidence in GNNs from the Final Layer
- NeurIPS 2026Understanding axial attention in TSFMs through single location regression
- NeurIPS 2026Understanding Circulant Permutation to Extend the CMinHash Estimator
- NeurIPS 2026Understanding diffusion models requires rethinking (again) generalization
- NeurIPS 2026Understanding Double Descent through Universal Compression
- NeurIPS 2026Understanding Generalization Requires Universal Induction
- NeurIPS 2026Understanding Layer Patching in Model Size Interpolation
- NeurIPS 2026Understanding Multi-View Transformers
- NeurIPS 2026Understanding Randomization in Greedy Model Search
- NeurIPS 2026Understanding Sample Efficiency in Predictive Coding
- NeurIPS 2026Understanding the Challenges in Iterative Generative Optimization with LLMs
- NeurIPS 2026Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Ups
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。