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 611 篇,第 7 / 13 页
- NeurIPS 2025LuxDiT: Lighting Estimation with Video Diffusion Transformer
- NeurIPS 2025Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions
- NeurIPS 2025Mitigating Semantic Collapse in Partially Relevant Video Retrieval
- NeurIPS 2025MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
- NeurIPS 2025MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
- NeurIPS 2025Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
- NeurIPS 2025MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval
- NeurIPS 2025MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
- NeurIPS 2025Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
- NeurIPS 2025Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding
- NeurIPS 2025MR. Video: MapReduce as an Effective Principle for Long Video Understanding
- NeurIPS 2025Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
- NeurIPS 2025MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs
- NeurIPS 2025NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding
- NeurIPS 2025NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
- NeurIPS 2025Neural B-frame Video Compression with Bi-directional Reference Harmonization
- NeurIPS 2025OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
- NeurIPS 2025On the Hardness of Approximating Distributions with Tractable Probabilistic Models
- NeurIPS 2025One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding
- NeurIPS 2025One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
- NeurIPS 2025OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
- NeurIPS 2025OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
- NeurIPS 2025Orient Anything V2: Unifying Orientation and Rotation Understanding
- NeurIPS 2025PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
- NeurIPS 2025Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
- NeurIPS 2025PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
- NeurIPS 2025PlayerOne: Egocentric World Simulator
- NeurIPS 2025PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
- NeurIPS 2025PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
- NeurIPS 2025Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
- NeurIPS 2025Prior Forgetting and In-Context Overfitting
- NeurIPS 2025Prompt-guided Disentangled Representation for Action Recognition
- NeurIPS 2025PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
- NeurIPS 2025Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction
- NeurIPS 2025Reading Recognition in the Wild
- NeurIPS 2025Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
- NeurIPS 2025Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
- NeurIPS 2025RePO: Understanding Preference Learning Through ReLU-Based Optimization
- NeurIPS 2025RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving
- NeurIPS 2025Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
- 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
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。