# Computer Vision — PUBLICMCP Public Library

Published research on image recognition, object detection, segmentation, and visual understanding from OpenAlex.

- Source institution: OpenAlex
- Set id: `openalex-set-computer-vision`
- Items: 180
- Canonical page: https://publicmcp.org/library/openalex-computer-vision

## Query via MCP (no API key)

```
search_library(query="computer vision", source="openalex")
# endpoint: https://library.publicmcp.org/mcp — no API key required
```

## Sample items (25 of 180)

- [DEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention](https://doi.org/10.1109/tip.2024.3354108)
- [UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios](https://doi.org/10.3390/s23167190)
- [U-Shape Transformer for Underwater Image Enhancement](https://doi.org/10.1109/tip.2023.3276332)
- [Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction](https://doi.org/10.1109/cvpr52688.2022.00538)
- [Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications](https://doi.org/10.1109/jsac.2021.3126076)
- [Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement](https://doi.org/10.1109/cvpr46437.2021.01042)
- [State of the Art in Defect Detection Based on Machine Vision](https://doi.org/10.1007/s40684-021-00343-6)
- [Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding](https://doi.org/10.1109/tip.2021.3076367)
- [Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement](https://doi.org/10.1109/tip.2021.3050850)
- [PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling](https://doi.org/10.1109/cvpr42600.2020.00563)
- [PolarMask: Single Shot Instance Segmentation With Polar Representation](https://doi.org/10.1109/cvpr42600.2020.01221)
- [Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light](https://doi.org/10.1109/tcsvt.2019.2963772)
- [HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation](https://doi.org/10.1109/access.2020.3005861)
- [Augmentation for small object detection](https://doi.org/10.5121/csit.2019.91713)
- [Kindling the Darkness](https://doi.org/10.1145/3343031.3350926)
- [Lightweight Image Super-Resolution with Information Multi-distillation Network](https://doi.org/10.1145/3343031.3351084)
- [Gated-SCNN: Gated Shape CNNs for Semantic Segmentation](https://doi.org/10.1109/iccv.2019.00533)
- [Local light field fusion](https://doi.org/10.1145/3306346.3322980)
- [Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring](https://doi.org/10.1109/cvpr.2019.00613)
- [Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving](https://doi.org/10.1109/cvpr.2019.00864)
- [DVC: An End-To-End Deep Video Compression Framework](https://doi.org/10.1109/cvpr.2019.01126)
- [LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking](https://doi.org/10.1109/cvpr.2019.00552)
- [BASNet: Boundary-Aware Salient Object Detection](https://doi.org/10.1109/cvpr.2019.00766)
- [Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study](https://doi.org/10.4236/jcc.2019.73002)
- [The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale](https://doi.org/10.1007/s11263-020-01316-z)

## About

Part of the PUBLICMCP Public Library — a free, open MCP server exposing 2.7M+ primary sources to AI agents. Every item is attributed and linked to its originating institution. Hub: https://publicmcp.org/library · Index: https://publicmcp.org/library/index.md · Site guide: https://publicmcp.org/llms.txt