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

2,261 papers, page 36 of 46

1751. ICLR 2024Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
1752. ICLR 2024Understanding prompt engineering may not require rethinking generalization
1753. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
1754. ICLR 2024Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
1755. ICLR 2024Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
1756. ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
1757. ICLR 2024Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
1758. ICLR 2024Unraveling the Key Components of OOD Generalization via Diversification
1759. ICLR 2024Video Decomposition Prior: Editing Videos Layer by Layer
1760. ICLR 2024Video Language Planning
1761. ICLR 2024VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
1762. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
1763. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
1764. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
1765. ICML 2024AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
1766. ICML 2024Boximator: Generating Rich and Controllable Motions for Video Synthesis
1767. ICML 2024Conditional Language Learning with Context
1768. ICML 2024Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
1769. ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
1770. ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
1771. ICML 2024EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
1772. ICML 2024EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
1773. ICML 2024Exploring the Complexity of Deep Neural Networks through Functional Equivalence
1774. ICML 2024Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
1775. ICML 2024Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
1776. ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
1777. ICML 2024High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
1778. ICML 2024How Does Goal Relabeling Improve Sample Efficiency?
1779. ICML 2024How Smooth Is Attention?
1780. ICML 2024Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
1781. ICML 2024Improving fine-grained understanding in image-text pre-training
1782. ICML 2024Initial Guessing Bias: How Untrained Networks Favor Some Classes
1783. ICML 2024IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
1784. ICML 2024LangCell: Language-Cell Pre-training for Cell Identity Understanding
1785. ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
1786. ICML 2024LoRA Training in the NTK Regime has No Spurious Local Minima
1787. ICML 2024Memory Consolidation Enables Long-Context Video Understanding
1788. ICML 2024Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
1789. ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
1790. ICML 2024NExT: Teaching Large Language Models to Reason about Code Execution
1791. ICML 2024On the Nonlinearity of Layer Normalization
1792. ICML 2024OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
1793. ICML 2024PID: Prompt-Independent Data Protection Against Latent Diffusion Models
1794. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
1795. ICML 2024Position: Why We Must Rethink Empirical Research in Machine Learning
1796. ICML 2024Privately Learning Smooth Distributions on the Hypercube by Projections
1797. ICML 2024Prompting a Pretrained Transformer Can Be a Universal Approximator
1798. ICML 2024Prototypical Transformer As Unified Motion Learners
1799. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
1800. ICML 2024ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate

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.