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

832 papers, page 10 of 17

451. ICLR 2026TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
452. ICLR 2026U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
453. ICLR 2026UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers
454. ICLR 2026Understanding and Improving Hyperbolic Deep Reinforcement Learning
455. ICLR 2026Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
456. ICLR 2026Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization
457. ICLR 2026Understanding and Relaxing the Limitations of Transformers for Linear Algebra
458. ICLR 2026Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
459. ICLR 2026Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
460. ICLR 2026Understanding Routing Mechanism in Mixture-of-Experts Language Models
461. ICLR 2026Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations
462. ICLR 2026Understanding the Dynamics of Forgetting and Generalization in Continual Learning via the Neural Tangent Kernel
463. ICLR 2026Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
464. ICLR 2026Understanding the Learning Phases in Self-Supervised Learning via Critical Periods
465. ICLR 2026Understanding the Mechanisms of Fast Hyperparameter Transfer
466. ICLR 2026Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
467. ICLR 2026Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data
468. ICLR 2026Understanding the Role of Training Data in Test-Time Scaling
469. ICLR 2026UNDERSTANDING TRANSFORMERS FOR TIME SEIRES FORECASTING: A CASE STUDY ON MOIRAI
470. ICLR 2026Unified In-Context Video Editing
471. ICLR 2026UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking
472. ICLR 2026UrbanFeel：A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human Perspective
473. ICLR 2026V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction
474. ICLR 2026Variation in Verification: Understanding Verification Dynamics in Large Language Models
475. ICLR 2026VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
476. ICLR 2026Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy
477. ICLR 2026Vid2World: Crafting Video Diffusion Models to Interactive World Models
478. ICLR 2026VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks
479. ICLR 2026Video Scene Segmentation with Genre and Duration Signals
480. ICLR 2026Video-GPT via Next Clip Diffusion
481. ICLR 2026Video-LevelGauge: Investigating Contextual Positional Bias in Video Language Models.
482. ICLR 2026VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding
483. ICLR 2026VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video
484. ICLR 2026VideoNSA: Native Sparse Attention Scales Video Understanding
485. ICLR 2026VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
486. ICLR 2026VMoBA: Mixture-of-Block Attention for Video Diffusion Models
487. ICLR 2026VUDG: A Dataset for Video Understanding Domain Generalization
488. ICLR 2026WavePolyp: Video Polyp Segmentation via Hierarchical Wavelet-Based Feature Aggregation and Inter-Frame Divergence Perception
489. ICLR 2026When More is Less: Understanding Chain-of-Thought Length in LLMs
490. ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
491. ICML 20264DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping
492. ICML 2026A Fine-Grained Understanding of Uniform Convergence for Halfspaces
493. ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
494. ICML 2026ActiveScope: Actively Seeking and Correcting Perception for MLLMs
495. ICML 2026AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
496. ICML 2026Benchmarking and Enhancing VLM for Compressed Image Understanding
497. ICML 2026CE$^4$L: Continual Ego, Exo, and Ego-Exo Learning
498. ICML 2026Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
499. ICML 2026CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
500. ICML 2026CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization

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.