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

832 papers, page 12 of 17

551. ICML 2026Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs
552. ICML 2026Seeing Symbols, Missing Structure: A Real-World Handwritten Mathematical Expression Recognition Benchmark for Large Models
553. ICML 2026SegPVSG: Panoptic Video Scene Graph Generation via Temporal Focusing and Generative Augmentation
554. ICML 2026SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
555. ICML 2026SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
556. ICML 2026Smoothing Slot Attention Iterations and Recurrences
557. ICML 2026SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
558. ICML 2026Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
559. ICML 2026TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation
560. ICML 2026Think in Cloud, Look at Edges: Semantic-Driven Query Decomposition for Efficient Video Reasoning
561. ICML 2026TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
562. ICML 2026Toward Safe Quantization-Aware Fine-tuning: Understanding and Mitigating Safety Alignment Degradation
563. ICML 2026Toward Understanding Adversarial Distillation: Why Robust Teachers Fail
564. ICML 2026Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
565. ICML 2026Towards Trustworthy Video Anomaly Understanding: A Class-Guided Chain-of-Evaluation Metric and An Anomaly-focused Meta-Benchmark
566. ICML 2026Towards Understanding Adam Convergence on Highly Degenerate Polynomials
567. ICML 2026Towards Understanding Massive Activations in Attention Sink Mechanism
568. ICML 2026Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
569. ICML 2026Towards Understanding Steering Strength
570. ICML 2026Trajectory-Stabilized Inference for Diffusion-Based Video Inpainting
571. ICML 2026Two-Layer Linear Auto-Regressive Models Estimate Latent States
572. ICML 2026Understanding Behavior Cloning with Action Quantization
573. ICML 2026Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics
574. ICML 2026Understanding Data Temporality Impact on Large Language Models Pre-training
575. ICML 2026Understanding Dynamic Compute Allocation in Recurrent Transformers
576. ICML 2026Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
577. ICML 2026Understanding Generalization and Forgetting in In-Context Continual Learning
578. ICML 2026Understanding Generalization from Embedding Dimension and Distributional Convergence
579. ICML 2026Understanding MARS: When Scaling Momentum Provably Helps
580. ICML 2026Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions
581. ICML 2026Understanding Private Learning From Feature Perspective
582. ICML 2026Understanding SAM through Minimax Perspective
583. ICML 2026Understanding Self-Supervised Learning via Latent Distribution Matching
584. ICML 2026Understanding the Ability of LLMs to Handle Character-Level Perturbation
585. ICML 2026Understanding the Gaps in Satisficing Bandits
586. ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
587. ICML 2026Understanding Truncated Positional Encodings for Graph Neural Networks
588. ICML 2026Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation
589. ICML 2026Universal Skeleton Understanding via Differentiable Rendering and MLLMs
590. ICML 2026V-LynX: Token Interface Alignment for Video+X LLMs
591. ICML 2026Veda: Scalable Video Diffusion via Distilled Sparse Attention
592. ICML 2026Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning
593. ICML 2026Video-BCI: Bayesian Cognitive Integration of Self-Prior Hypotheses for Video Understanding
594. ICML 2026Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning
595. ICML 2026Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
596. ICML 2026VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization
597. ICML 2026VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
598. ICML 2026VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
599. ICML 2026VideoMAETok: Boosting Video Diffusion Models via Masked Autoencoders as Tokenizers
600. ICML 2026VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority

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.