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

67 papers, page 1 of 2

1. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
2. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
3. ICML 2024AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
4. ICML 2024Boximator: Generating Rich and Controllable Motions for Video Synthesis
5. ICML 2024Conditional Language Learning with Context
6. ICML 2024Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
7. ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
8. ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
9. ICML 2024EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
10. ICML 2024EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
11. ICML 2024Exploring the Complexity of Deep Neural Networks through Functional Equivalence
12. ICML 2024Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
13. ICML 2024Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
14. ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
15. ICML 2024High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
16. ICML 2024How Does Goal Relabeling Improve Sample Efficiency?
17. ICML 2024How Smooth Is Attention?
18. ICML 2024Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
19. ICML 2024Improving fine-grained understanding in image-text pre-training
20. ICML 2024Initial Guessing Bias: How Untrained Networks Favor Some Classes
21. ICML 2024IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
22. ICML 2024LangCell: Language-Cell Pre-training for Cell Identity Understanding
23. ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
24. ICML 2024LoRA Training in the NTK Regime has No Spurious Local Minima
25. ICML 2024Memory Consolidation Enables Long-Context Video Understanding
26. ICML 2024Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
27. ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
28. ICML 2024NExT: Teaching Large Language Models to Reason about Code Execution
29. ICML 2024On the Nonlinearity of Layer Normalization
30. ICML 2024OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
31. ICML 2024PID: Prompt-Independent Data Protection Against Latent Diffusion Models
32. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
33. ICML 2024Position: Why We Must Rethink Empirical Research in Machine Learning
34. ICML 2024Privately Learning Smooth Distributions on the Hypercube by Projections
35. ICML 2024Prompting a Pretrained Transformer Can Be a Universal Approximator
36. ICML 2024Prototypical Transformer As Unified Motion Learners
37. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
38. ICML 2024ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate
39. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
40. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
41. ICML 2024Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
42. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
43. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
44. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
45. ICML 2024Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
46. ICML 2024Trustworthy Actionable Perturbations
47. ICML 2024Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
48. ICML 2024Understanding and Diagnosing Deep Reinforcement Learning
49. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
50. ICML 2024Understanding Finetuning for Factual Knowledge Extraction

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.