Video Understanding papers, 2023–2026
Video recognition and understanding
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,261 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 47 | 44 | 34 | 194 | 319 |
| 2024 | 113 | 47 | 67 | 204 | 431 |
| 2025 | 222 | 95 | 64 | 298 | 679 |
| 2026 | 229 | 148 | 114 | 341 | 832 |
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
319 papers, page 5 of 7
- ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
- ICLR 2023Does Deep Learning Learn to Abstract? A Systematic Probing Framework
- ICLR 2023Exploring Temporally Dynamic Data Augmentation for Video Recognition
- ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
- ICLR 2023GAIN: On the Generalization of Instructional Action Understanding
- ICLR 2023ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
- ICLR 2023Is Attention All That NeRF Needs?
- ICLR 2023MaskViT: Masked Visual Pre-Training for Video Prediction
- ICLR 2023Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
- ICLR 2023MIMT: Masked Image Modeling Transformer for Video Compression
- ICLR 2023MultiViz: Towards Visualizing and Understanding Multimodal Models
- ICLR 2023SQA3D: Situated Question Answering in 3D Scenes
- ICLR 2023Temporal Coherent Test Time Optimization for Robust Video Classification
- ICLR 2023The Curious Case of Benign Memorization
- ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
- ICLR 2023Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
- ICLR 2023Towards Smooth Video Composition
- ICLR 2023Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
- ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
- ICLR 2023Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
- ICLR 2023Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
- ICLR 2023Understanding and Adopting Rational Behavior by Bellman Score Estimation
- ICLR 2023Understanding DDPM Latent Codes Through Optimal Transport
- ICLR 2023Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
- ICLR 2023Understanding Embodied Reference with Touch-Line Transformer
- ICLR 2023Understanding Influence Functions and Datamodels via Harmonic Analysis
- ICLR 2023Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
- ICLR 2023Understanding new tasks through the lens of training data via exponential tilting
- ICLR 2023Understanding the Covariance Structure of Convolutional Filters
- ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
- ICLR 2023Understanding The Robustness of Self-supervised Learning Through Topic Modeling
- ICLR 2023Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
- ICLR 2023Understanding Train-Validation Split in Meta-Learning with Neural Networks
- ICLR 2023Understanding weight-magnitude hyperparameters in training binary networks
- ICLR 2023Understanding Why Generalized Reweighting Does Not Improve Over ERM
- ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
- ICLR 2023Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
- ICLR 2023Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
- ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
- ICML 2023Differentially Private Sharpness-Aware Training
- ICML 2023Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
- ICML 2023Does Sparsity Help in Learning Misspecified Linear Bandits?
- ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
- ICML 2023Is Overfitting Necessary for Implicit Video Representation?
- ICML 2023Learning Control by Iterative Inversion
- ICML 2023Long-Term Rhythmic Video Soundtracker
- ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
- ICML 2023Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
- ICML 2023Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
- ICML 2023Quantifying the Variability Collapse of Neural Networks
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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.