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

679 papers, page 13 of 14

601. NeurIPS 2025The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
602. NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding
603. NeurIPS 2025Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
604. NeurIPS 2025To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL
605. NeurIPS 2025Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
606. NeurIPS 2025Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
607. NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
608. NeurIPS 2025Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
609. NeurIPS 2025Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
610. NeurIPS 2025Towards Understanding Camera Motions in Any Video
611. NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
612. NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
613. NeurIPS 2025Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
614. NeurIPS 2025Tracking and Understanding Object Transformations
615. NeurIPS 2025Training-Free Efficient Video Generation via Dynamic Token Carving
616. NeurIPS 2025Training-free Online Video Step Grounding
617. NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
618. NeurIPS 2025Two Causally Related Needles in a Video Haystack
619. NeurIPS 2025Understanding Adam Requires Better Rotation Dependent Assumptions
620. NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
621. NeurIPS 2025Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
622. NeurIPS 2025Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
623. NeurIPS 2025Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
624. NeurIPS 2025Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
625. NeurIPS 2025Understanding and Rectifying Safety Perception Distortion in VLMs
626. NeurIPS 2025Understanding Bias Terms in Neural Representations
627. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
628. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models
629. NeurIPS 2025Understanding Data Influence in Reinforcement Finetuning
630. NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
631. NeurIPS 2025Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
632. NeurIPS 2025Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
633. NeurIPS 2025Understanding outer learning rates in Local SGD
634. NeurIPS 2025Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
635. NeurIPS 2025Understanding Prompt Tuning and In-Context Learning via Meta-Learning
636. NeurIPS 2025Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
637. NeurIPS 2025Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem
638. NeurIPS 2025Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
639. NeurIPS 2025Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
640. NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
641. NeurIPS 2025Understanding while Exploring: Semantics-driven Active Mapping
642. NeurIPS 2025UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
643. NeurIPS 2025UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
644. NeurIPS 2025UniTok: a Unified Tokenizer for Visual Generation and Understanding
645. NeurIPS 2025Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
646. NeurIPS 2025Universal Visuo-Tactile Video Understanding for Embodied Interaction
647. NeurIPS 2025UniViT: Unifying Image and Video Understanding in One Vision Encoder
648. NeurIPS 2025Unleashing Hour-Scale Video Training for Long Video-Language Understanding
649. NeurIPS 2025URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
650. NeurIPS 2025UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?

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.