OOIR: Observatory of International Research

Papers

(The H4-Index of Computer Vision and Image Understanding is 28. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)

Article	Citations
Luminance prior guided Low-Light 4C catenary image enhancement	296
Editorial Board	239
Feature reconstruction and metric based network for few-shot object detection	153
Efficient cross-information fusion decoder for semantic segmentation	114
Convolutional neural network framework for deepfake detection: A diffusion-based approach	107
Lightweight feature point detection network with channel enhancement	96
3D semantic segmentation based on spatial-aware convolution and shape completion for augmented reality applications	95
Editorial Board	84
Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection	79
Siamese self-supervised learning for fine-grained visual classification	71
Emerging image generation with flexible control of perceived difficulty	51
Improving the planarity and sharpness of monocularly estimated depth images using the Phong reflection model	50
Editorial Board	43
Exploring using jigsaw puzzles for out-of-distribution detection	40
Extending function mixture network for improved spectral super-resolution	38
MATTE: Multi-task multi-scale attention	37
Deducing health cues from biometric data	36
Editorial Board	34
Editorial Board	34
CRML-Net: Cross-Modal Reasoning and Multi-Task Learning Network for tooth image segmentation	33
Modality adaptation via feature difference learning for depth human parsing	33
Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics	32
RetSeg3D: Retention-based 3D semantic segmentation for autonomous driving	31
Twin-SegNet: Dynamically coupled complementary segmentation networks for generalized medical image segmentation	31
RelFormer: Advancing contextual relations for transformer-based dense captioning	30

GaitBranch: A multi-branch refinement model combined with frame-channel attention mechanism for gait recognition	29
Implicit and explicit commonsense for multi-sentence video captioning	29
PConvSRGAN: Real-world super-resolution reconstruction with pure convolutional networks	29
Embedding AI ethics into the design and use of computer vision technology for consumer’s behaviour understanding	28
Syntactically and semantically enhanced captioning network via hybrid attention and POS tagging prompt	28
Reverse Stable Diffusion: What prompt was used to generate this image?	28