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 37 of 46

1801. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
1802. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
1803. ICML 2024Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
1804. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
1805. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
1806. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
1807. ICML 2024Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
1808. ICML 2024Trustworthy Actionable Perturbations
1809. ICML 2024Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
1810. ICML 2024Understanding and Diagnosing Deep Reinforcement Learning
1811. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
1812. ICML 2024Understanding Finetuning for Factual Knowledge Extraction
1813. ICML 2024Understanding Forgetting in Continual Learning with Linear Regression
1814. ICML 2024Understanding Heterophily for Graph Neural Networks
1815. ICML 2024Understanding Inter-Concept Relationships in Concept-Based Models
1816. ICML 2024Understanding MLP-Mixer as a wide and sparse MLP
1817. ICML 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
1818. ICML 2024Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
1819. ICML 2024Understanding Stochastic Natural Gradient Variational Inference
1820. ICML 2024Understanding the Effects of Iterative Prompting on Truthfulness
1821. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
1822. ICML 2024Understanding the Learning Dynamics of Alignment with Human Feedback
1823. ICML 2024Understanding the Training Speedup from Sampling with Approximate Losses
1824. ICML 2024Understanding Unimodal Bias in Multimodal Deep Linear Networks
1825. ICML 2024Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
1826. ICML 2024Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
1827. ICML 2024VideoPrism: A Foundational Visual Encoder for Video Understanding
1828. ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters
1829. ICML 2024Why Larger Language Models Do In-context Learning Differently?
1830. NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
1831. NeurIPS 20243DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
1832. NeurIPS 2024A Theoretical Understanding of Self-Correction through In-context Alignment
1833. NeurIPS 2024ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
1834. NeurIPS 2024Advancing Video Anomaly Detection: A Concise Review and a New Dataset
1835. NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
1836. NeurIPS 2024Artemis: Towards Referential Understanding in Complex Videos
1837. NeurIPS 2024AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
1838. NeurIPS 2024Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
1839. NeurIPS 2024bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
1840. NeurIPS 2024CALVIN: Improved Contextual Video Captioning via Instruction Tuning
1841. NeurIPS 2024CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
1842. NeurIPS 2024CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
1843. NeurIPS 2024Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers
1844. NeurIPS 2024Cross-video Identity Correlating for Person Re-identification Pre-training
1845. NeurIPS 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models
1846. NeurIPS 2024Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
1847. NeurIPS 2024Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
1848. NeurIPS 2024E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
1849. NeurIPS 2024End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning
1850. NeurIPS 2024Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data

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.