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

334 papers, page 6 of 7

251. ICLR 2024InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
252. ICLR 2024Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
253. ICLR 2024Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
254. ICLR 2024Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
255. ICLR 2024MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
256. ICLR 2024Multi-granularity Correspondence Learning from Long-term Noisy Videos
257. ICLR 2024Neural Rate Control for Learned Video Compression
258. ICLR 2024Nougat: Neural Optical Understanding for Academic Documents
259. ICLR 2024Pose Modulated Avatars from Video
260. ICLR 2024Progressive Fourier Neural Representation for Sequential Video Compilation
261. ICLR 2024Pseudo-Generalized Dynamic View Synthesis from a Video
262. ICLR 2024Quadratic models for understanding catapult dynamics of neural networks
263. ICLR 2024ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
264. ICLR 2024Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos
265. ICLR 2024Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
266. ICLR 2024The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
267. ICLR 2024Theoretical Understanding of Learning from Adversarial Perturbations
268. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
269. ICLR 2024Towards Understanding Sycophancy in Language Models
270. ICLR 2024Understanding Addition in Transformers
271. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
272. ICLR 2024Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
273. ICLR 2024Understanding Catastrophic Forgetting in Language Models via Implicit Inference
274. ICLR 2024Understanding Certified Training with Interval Bound Propagation
275. ICLR 2024Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
276. ICLR 2024Understanding Domain Generalization: A Noise Robustness Perspective
277. ICLR 2024Understanding Expressivity of GNN in Rule Learning
278. ICLR 2024Understanding In-Context Learning from Repetitions
279. ICLR 2024Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
280. ICLR 2024Understanding prompt engineering may not require rethinking generalization
281. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
282. ICLR 2024Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
283. ICLR 2024Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
284. ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
285. ICLR 2024Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
286. ICLR 2024Unraveling the Key Components of OOD Generalization via Diversification
287. ICLR 2024Video Decomposition Prior: Editing Videos Layer by Layer
288. ICLR 2024Video Language Planning
289. ICLR 2024VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
290. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
291. ICLR 2023A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
292. ICLR 2023AIM: Adapting Image Models for Efficient Video Action Recognition
293. ICLR 2023Boosting Adversarial Transferability using Dynamic Cues
294. ICLR 2023Characterizing intrinsic compositionality in transformers with Tree Projections
295. ICLR 2023Deconstructing Distributions: A Pointwise Framework of Learning
296. ICLR 2023DensePure: Understanding Diffusion Models for Adversarial Robustness
297. ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
298. ICLR 2023Does Deep Learning Learn to Abstract? A Systematic Probing Framework
299. ICLR 2023Exploring Temporally Dynamic Data Augmentation for Video Recognition
300. ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains

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.