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 13 / 46 页
- ICML 2026VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos
- ICML 2026VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
- ICML 2026Words Towards Explainability: Caption Label-Free Learning via Dual Loop Agentic Time Series Captioning
- NeurIPS 20263DSPA: A 3D Semantic Point Autoencoder for Evaluating Video Realism
- NeurIPS 2026A Local Geometric Analysis of Maximal Coding Rate Reduction via Error Bounds
- NeurIPS 2026A Matter of Interest: Understanding Interestingness Judgments of Math Problems in Humans and Language Models
- NeurIPS 2026A Principled Optimal Transport Framework for Frame Selection in Long Video Understanding
- NeurIPS 2026A Training-Free Video Moment Retrieval Framework via Selection from Multiple Visual Prompts
- NeurIPS 2026A Unified Image and Video Encoder for Multimodal LLMs
- NeurIPS 2026Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
- NeurIPS 2026ActO: Extracting Action Representations from MLLM Embeddings for Video World Models
- NeurIPS 2026AdaCodec: A Predictive Visual Code for Video MLLMs
- NeurIPS 2026AdaState: Self-Evolving Anchors for Streaming Video Generation
- NeurIPS 2026Addressable Memory for Video World Models
- NeurIPS 2026AdShot: Benchmarking Multimodal Large Language Models for Video Advertisement Clipping
- NeurIPS 2026AEON: Unifying Video and 3D World Models
- NeurIPS 2026AgenticVBench: Can AI Agents Complete Real-World Video Production Tasks?
- NeurIPS 2026Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding
- NeurIPS 2026AmbiguousWorld: Benchmarking and Resolving Ambiguous Instructions in Video World Models
- NeurIPS 2026Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
- NeurIPS 2026AR-Edit: Training-Free Streaming Video Editing without Inversion
- NeurIPS 2026Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video
- NeurIPS 2026ASAP: Attention Sink Anchored Pruning
- NeurIPS 2026AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers
- NeurIPS 2026Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
- NeurIPS 2026Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
- NeurIPS 2026AVENUE: Audio-Video Editing Understanding and Evaluation
- NeurIPS 2026AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression
- NeurIPS 2026BasicLT: Basic-Level Abstraction and Selective Differentiation for Long-Tailed Recognition
- NeurIPS 2026BEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting
- NeurIPS 2026Behavior Pack Optimization for Video MLLM Post-Training
- NeurIPS 2026Behavioral Geometric Supervision Aligns Video Foundation Models with Human Social Perception
- NeurIPS 2026Benchmarking Fine-Grained Spatio-Temporal Awareness in Embodied Brain Models
- NeurIPS 2026Bernini: Latent Semantic Planning for Video Diffusion
- NeurIPS 2026Beyond Flat Frames: Hierarchical Graph Reasoning for Long Video Understanding
- NeurIPS 2026Beyond Oversquashing: Understanding Signal Propagation in GNNs Via Observables
- NeurIPS 2026Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding
- NeurIPS 2026Bidirectional Sparse Attention for Faster Video Diffusion Training
- NeurIPS 2026Breaking the Second Barrier: Sub-Second Timestamped Omni-Modal Captioning
- NeurIPS 2026Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
- NeurIPS 2026Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning
- NeurIPS 2026CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models
- NeurIPS 2026CARVE: Counterfactual Video Editing for Auditing and Hardening Video Detectors
- NeurIPS 2026CoANeRV: Coordinate-Aware Token-Space Neural Video Representation
- NeurIPS 2026ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
- NeurIPS 2026Computational Depth Predicts Quantization Sensitivity in Multimodal Models
- NeurIPS 2026Conditional Multi-Event Temporal Grounding in Long-Form Video
- NeurIPS 2026Controllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization
- NeurIPS 2026CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modelling
- NeurIPS 2026CoRDS: Coreset-Based Representative and Diverse Selection for Streaming Video Understanding
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。