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

279 papers, page 5 of 6

201. ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
202. ICML 2024LoRA Training in the NTK Regime has No Spurious Local Minima
203. ICML 2024Memory Consolidation Enables Long-Context Video Understanding
204. ICML 2024Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
205. ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
206. ICML 2024NExT: Teaching Large Language Models to Reason about Code Execution
207. ICML 2024On the Nonlinearity of Layer Normalization
208. ICML 2024OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
209. ICML 2024PID: Prompt-Independent Data Protection Against Latent Diffusion Models
210. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
211. ICML 2024Position: Why We Must Rethink Empirical Research in Machine Learning
212. ICML 2024Privately Learning Smooth Distributions on the Hypercube by Projections
213. ICML 2024Prompting a Pretrained Transformer Can Be a Universal Approximator
214. ICML 2024Prototypical Transformer As Unified Motion Learners
215. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
216. ICML 2024ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate
217. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
218. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
219. ICML 2024Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
220. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
221. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
222. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
223. ICML 2024Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
224. ICML 2024Trustworthy Actionable Perturbations
225. ICML 2024Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
226. ICML 2024Understanding and Diagnosing Deep Reinforcement Learning
227. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
228. ICML 2024Understanding Finetuning for Factual Knowledge Extraction
229. ICML 2024Understanding Forgetting in Continual Learning with Linear Regression
230. ICML 2024Understanding Heterophily for Graph Neural Networks
231. ICML 2024Understanding Inter-Concept Relationships in Concept-Based Models
232. ICML 2024Understanding MLP-Mixer as a wide and sparse MLP
233. ICML 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
234. ICML 2024Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
235. ICML 2024Understanding Stochastic Natural Gradient Variational Inference
236. ICML 2024Understanding the Effects of Iterative Prompting on Truthfulness
237. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
238. ICML 2024Understanding the Learning Dynamics of Alignment with Human Feedback
239. ICML 2024Understanding the Training Speedup from Sampling with Approximate Losses
240. ICML 2024Understanding Unimodal Bias in Multimodal Deep Linear Networks
241. ICML 2024Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
242. ICML 2024Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
243. ICML 2024VideoPrism: A Foundational Visual Encoder for Video Understanding
244. ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters
245. ICML 2024Why Larger Language Models Do In-context Learning Differently?
246. ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
247. ICML 2023Differentially Private Sharpness-Aware Training
248. ICML 2023Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
249. ICML 2023Does Sparsity Help in Learning Misspecified Linear Bandits?
250. ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding

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.