Applications · computer vision papers, 2023–2026

Key findings

• Applications · computer vision went from 106 papers in 2023 to 1,326 in 2026, roughly 13x in three years.
• ICLR publishes the most Applications · computer vision work: 1,048 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Applications · speech and audio: papers tagged with both rose from 0 in 2023 to 292 in 2026.
• Among the 10 topics under Application Domains, it ranks #1 by 2026 paper count; the fastest grower in the group, Applications · health medicine, is up 61x versus 13x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Adapting Vision Transformers to Organoid Imaging
• ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
• ICLR 2026A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
• CVPR 2026Benchmarking PhD-Level Coding in 3D Geometric Computer Vision
• NeurIPS 2025BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
• ICML 2025Action Dubber: Timing Audible Actions via Inflectional Flow
• ICLR 2025A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
• CVPR 2025BHViT: Binarized Hybrid Vision Transformer
• NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
• ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
• ICLR 2024Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
• CVPR 2024Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
• NeurIPS 2023[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
• ICML 2023Can Forward Gradient Match Backpropagation?
• ICLR 2023Fundamental limits on the robustness of image classifiers
• CVPR 2023BiFormer: Vision Transformer With Bi-Level Routing Attention
• NeurIPS 2026Computer Use at the Edge of the Statistical Precipice
• ICML 20263D Scene Assertion Verification
• ICLR 2026A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
• CVPR 2026Describe Anything Anywhere At Any Moment

All Applications · computer vision papers

2,538 papers, page 47 of 51

2301. ICLR 2024Towards Category Unification of 3D Single Object Tracking on Point Clouds
2302. ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
2303. ICLR 2024Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
2304. ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
2305. ICLR 2024Uni3D: Exploring Unified 3D Representation at Scale
2306. ICLR 2024Universal Guidance for Diffusion Models
2307. ICLR 2024UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
2308. ICLR 2024Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
2309. ICLR 2024USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
2310. ICLR 2024Vision-by-Language for Training-Free Compositional Image Retrieval
2311. ICLR 2024Vision-Language Foundation Models as Effective Robot Imitators
2312. ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
2313. ICLR 2024VQ-TR: Vector Quantized Attention for Time Series Forecasting
2314. ICLR 2024When Semantic Segmentation Meets Frequency Aliasing
2315. ICLR 2024Win-Win: Training High-Resolution Vision Transformers from Two Windows
2316. ICLR 2024You Only Query Once: An Efficient Label-Only Membership Inference Attack
2317. ICLR 2024ZeroFlow: Scalable Scene Flow via Distillation
2318. ICLR 2024ZipIt! Merging Models from Different Tasks without Training
2319. ICML 2024An Empirical Study Into What Matters for Calibrating Vision-Language Models
2320. ICML 2024Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
2321. ICML 2024Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
2322. ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
2323. ICML 2024CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
2324. ICML 2024CurBench: Curriculum Learning Benchmark
2325. ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
2326. ICML 2024Estimating the Permanent by Nesting Importance Sampling
2327. ICML 2024Exploring Intrinsic Dimension for Vision-Language Model Pruning
2328. ICML 2024FiT: Flexible Vision Transformer for Diffusion Model
2329. ICML 2024Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
2330. ICML 2024Gibbs Sampling of Continuous Potentials on a Quantum Computer
2331. ICML 2024Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
2332. ICML 2024Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
2333. ICML 2024Libra: Building Decoupled Vision System on Large Language Models
2334. ICML 2024MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
2335. ICML 2024Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
2336. ICML 2024Position: Do Not Explain Vision Models Without Context
2337. ICML 2024Positive Concave Deep Equilibrium Models
2338. ICML 2024Revisiting the Role of Language Priors in Vision-Language Models
2339. ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
2340. ICML 2024Statistical Test for Attention Maps in Vision Transformers
2341. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
2342. ICML 2024UPOCR: Towards Unified Pixel-Level OCR Interface
2343. ICML 2024ViP: A Differentially Private Foundation Model for Computer Vision
2344. NeurIPS 20243D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
2345. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
2346. NeurIPS 2024Accelerating Transformers with Spectrum-Preserving Token Merging
2347. NeurIPS 2024Activation Map Compression through Tensor Decomposition for Deep Learning
2348. NeurIPS 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
2349. NeurIPS 2024Attack-Resilient Image Watermarking Using Stable Diffusion
2350. NeurIPS 2024Benchmarking the Attribution Quality of Vision Models

FAQ

How many Applications · computer vision papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,538 in total: 106 in 2023, 334 in 2024, 772 in 2025, 1,326 in 2026.

How many Applications · computer vision papers are at NeurIPS 2026?

NeurIPS 2026 has 168 Applications · computer vision papers, versus 165 the year before.

How many Applications · computer vision papers are at ICLR 2026?

ICLR 2026 has 538 Applications · computer vision papers, versus 338 the year before.

How many Applications · computer vision papers are at ICML 2026?

ICML 2026 has 554 Applications · computer vision papers, versus 201 the year before.

How many Applications · computer vision papers are at CVPR 2026?

CVPR 2026 has 66 Applications · computer vision papers, versus 68 the year before.

Which conference publishes the most Applications · computer vision papers?

ICLR, with 1,048 papers from 2023 to 2026.