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

194 papers, page 4 of 4

151. CVPR 2023Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
152. CVPR 2023Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
153. CVPR 2023Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
154. CVPR 2023Streaming Video Model
155. CVPR 2023Structured Sparsity Learning for Efficient Video Super-Resolution
156. CVPR 2023SVFormer: Semi-Supervised Video Transformer for Action Recognition
157. CVPR 2023SViTT: Temporal Learning of Sparse Video-Text Transformers
158. CVPR 2023System-Status-Aware Adaptive Network for Online Streaming Video Understanding
159. CVPR 2023TarViS: A Unified Approach for Target-Based Video Segmentation
160. CVPR 2023Test of Time: Instilling Video-Language Models With a Sense of Time
161. CVPR 2023Therbligs in Action: Video Understanding Through Motion Primitives
162. CVPR 2023TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
163. CVPR 2023Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
164. CVPR 2023Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
165. CVPR 2023Transformer-Based Unified Recognition of Two Hands Manipulating Objects
166. CVPR 2023Two-Shot Video Object Segmentation
167. CVPR 2023ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
168. CVPR 2023Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity
169. CVPR 2023Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
170. CVPR 2023Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
171. CVPR 2023Understanding and Improving Features Learned in Deep Functional Maps
172. CVPR 2023Understanding and Improving Visual Prompting: A Label-Mapping Perspective
173. CVPR 2023Understanding Deep Generative Models With Generalized Empirical Likelihoods
174. CVPR 2023Understanding Imbalanced Semantic Segmentation Through Neural Collapse
175. CVPR 2023Understanding Masked Autoencoders via Hierarchical Latent Variable Models
176. CVPR 2023Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
177. CVPR 2023Use Your Head: Improving Long-Tail Video Recognition
178. CVPR 2023Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
179. CVPR 2023Video Compression With Entropy-Constrained Neural Representations
180. CVPR 2023Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior
181. CVPR 2023Video Event Restoration Based on Keyframes for Video Anomaly Detection
182. CVPR 2023Video Probabilistic Diffusion Models in Projected Latent Space
183. CVPR 2023Video Test-Time Adaptation for Action Recognition
184. CVPR 2023Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
185. CVPR 2023VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
186. CVPR 2023VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking
187. CVPR 2023VideoTrack: Learning To Track Objects via Video Transformer
188. CVPR 2023VindLU: A Recipe for Effective Video-and-Language Pretraining
189. CVPR 2023Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting
190. CVPR 2023VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs
191. CVPR 2023VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval
192. CVPR 2023Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network
193. CVPR 2023Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos
194. CVPR 2023WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding

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.