Video Understanding papers, 2023–2026
Video recognition and understanding
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,261 papers are tagged with this topic.
Key findings
- Video Understanding went from 319 papers in 2023 to 832 in 2026, roughly 2.6x in three years.
- CVPR publishes the most Video Understanding work: 1,037 papers from 2023 to 2026, 46% of the four-venue total.
- The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 8 in 2023 to 116 in 2026.
- Among the 5 topics under Computer Vision, it ranks #3 by 2026 paper count; the fastest grower in the group, Image Generation, is up 2.2x versus 2.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 47 | 44 | 34 | 194 | 319 |
| 2024 | 113 | 47 | 67 | 204 | 431 |
| 2025 | 222 | 95 | 64 | 298 | 679 |
| 2026 | 229 | 148 | 114 | 341 | 832 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Video Understanding papers
679 papers, page 6 of 14
- CVPR 2025Towards Universal Soccer Video Understanding
- CVPR 2025Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline
- CVPR 2025Transformers without Normalization
- CVPR 2025Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing
- CVPR 2025Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks
- CVPR 2025Unboxed: Geometrically and Temporally Consistent Video Outpainting
- CVPR 2025Uncertain Multimodal Intention and Emotion Understanding in the Wild
- CVPR 2025Understanding Multi-layered Transmission Matrices
- CVPR 2025Understanding Multi-Task Activities from Single-Task Videos
- CVPR 2025Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
- CVPR 2025Unified Dense Prediction of Video Diffusion
- CVPR 2025Unity in Diversity: Video Editing via Gradient-Latent Purification
- CVPR 2025Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis
- CVPR 2025Using Diffusion Priors for Video Amodal Segmentation
- CVPR 2025V-Stylist: Video Stylization via Collaboration and Reflection of MLLM Agents
- CVPR 2025VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment
- CVPR 2025VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
- CVPR 2025VEU-Bench: Towards Comprehensive Understanding of Video Editing
- CVPR 2025ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation
- CVPR 2025Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior
- CVPR 2025VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?
- CVPR 2025Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
- CVPR 2025Video Depth without Video Models
- CVPR 2025Video Language Model Pretraining with Spatio-temporal Masking
- CVPR 2025Video Motion Transfer with Diffusion Transformers
- CVPR 2025Video Summarization with Large Language Models
- CVPR 2025Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding
- CVPR 2025Video-Bench: Human-Aligned Video Generation Benchmark
- CVPR 2025Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
- CVPR 2025Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
- CVPR 2025Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
- CVPR 2025VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
- CVPR 2025VideoGigaGAN: Towards Detail-rich Video Super-Resolution
- CVPR 2025VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
- CVPR 2025VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
- CVPR 2025VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models
- CVPR 2025VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
- CVPR 2025VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step
- CVPR 2025VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing
- CVPR 2025VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
- CVPR 2025VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
- CVPR 2025VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models
- CVPR 2025VidTwin: Video VAE with Decoupled Structure and Dynamics
- CVPR 2025VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation
- CVPR 2025VITED: Video Temporal Evidence Distillation
- CVPR 2025VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
- CVPR 2025VSNet: Focusing on the Linguistic Characteristics of Sign Language
- CVPR 2025WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
- ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
- ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
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FAQ
- How many Video Understanding papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 2,261 in total: 319 in 2023, 431 in 2024, 679 in 2025, 832 in 2026.
- How many Video Understanding papers are at NeurIPS 2026?
- NeurIPS 2026 has 229 Video Understanding papers, versus 222 the year before.
- How many Video Understanding papers are at ICLR 2026?
- ICLR 2026 has 148 Video Understanding papers, versus 95 the year before.
- How many Video Understanding papers are at ICML 2026?
- ICML 2026 has 114 Video Understanding papers, versus 64 the year before.
- How many Video Understanding papers are at CVPR 2026?
- CVPR 2026 has 341 Video Understanding papers, versus 298 the year before.
- Which conference publishes the most Video Understanding papers?
- CVPR, with 1,037 papers from 2023 to 2026.