Video Understanding papers, 2023–2026

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.

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

611 papers, page 8 of 13

351. NeurIPS 2025Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
352. NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
353. NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
354. NeurIPS 2025ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
355. NeurIPS 2025ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
356. NeurIPS 2025SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
357. NeurIPS 2025Smooth Regularization for Efficient Video Recognition
358. NeurIPS 2025Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
359. NeurIPS 2025SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
360. NeurIPS 2025Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
361. NeurIPS 2025Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
362. NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
363. NeurIPS 2025Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding
364. NeurIPS 2025Storyboard-guided Alignment for Fine-grained Video Action Recognition
365. NeurIPS 2025StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
366. NeurIPS 2025StreamForest: Efficient Online Video Understanding with Persistent Event Memory
367. NeurIPS 2025TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
368. NeurIPS 2025Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
369. NeurIPS 2025TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
370. NeurIPS 2025Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames
371. NeurIPS 2025Temporal In‑Context Fine‑Tuning for Versatile Control of Video Diffusion Models
372. NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
373. NeurIPS 2025The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
374. NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding
375. NeurIPS 2025Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
376. NeurIPS 2025To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL
377. NeurIPS 2025Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
378. NeurIPS 2025Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
379. NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
380. NeurIPS 2025Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
381. NeurIPS 2025Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
382. NeurIPS 2025Towards Understanding Camera Motions in Any Video
383. NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
384. NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
385. NeurIPS 2025Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
386. NeurIPS 2025Tracking and Understanding Object Transformations
387. NeurIPS 2025Training-Free Efficient Video Generation via Dynamic Token Carving
388. NeurIPS 2025Training-free Online Video Step Grounding
389. NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
390. NeurIPS 2025Two Causally Related Needles in a Video Haystack
391. NeurIPS 2025Understanding Adam Requires Better Rotation Dependent Assumptions
392. NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
393. NeurIPS 2025Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
394. NeurIPS 2025Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
395. NeurIPS 2025Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
396. NeurIPS 2025Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
397. NeurIPS 2025Understanding and Rectifying Safety Perception Distortion in VLMs
398. NeurIPS 2025Understanding Bias Terms in Neural Representations
399. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
400. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models

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.