# International Journal of Computer Vision

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/international-journal-of-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0920-5691 |
| ISSNs | 0920-5691,1573-1405 |
| OpenAlex ID | https://openalex.org/S25538012 |
| Publisher | Springer Science+Business Media |

## Journal papers

Showing 12 of 16.

- [ImageNet Large Scale Visual Recognition Challenge](https://scholariq.org/papers/imagenet-large-scale-visual-recognition-challenge/)
- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://scholariq.org/papers/visual-genome-connecting-language-and-vision-using-crowdsourced-dense-image/)
- [Geodesic Active Contours](https://scholariq.org/papers/geodesic-active-contours/)
- [Large-Scale Data for Multiple-View Stereopsis](https://scholariq.org/papers/large-scale-data-for-multiple-view-stereopsis/)
- [A Framework for Robust Subspace Learning](https://scholariq.org/papers/a-framework-for-robust-subspace-learning/)
- [A Comprehensive Performance Evaluation of 3D Local Feature Descriptors](https://scholariq.org/papers/a-comprehensive-performance-evaluation-of-3d-local-feature-descriptors/)
- [On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization](https://scholariq.org/papers/on-unifying-multi-view-self-representations-for-clustering-by-tensor-multi-rank/)
- [Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos](https://scholariq.org/papers/every-moment-counts-dense-detailed-labeling-of-actions-in-complex-videos/)
- [Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset](https://scholariq.org/papers/attention-guided-low-light-image-enhancement-with-a-large-scale-low-light/)
- [Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation](https://scholariq.org/papers/markerless-motion-capture-through-visual-hull-articulated-icp-and-subject/)
- [Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition](https://scholariq.org/papers/multiscale-fusion-of-visible-and-thermal-ir-images-for-illumination-invariant/)
- [What are Textons?](https://scholariq.org/papers/what-are-textons/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.