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20242026
most citedDropout Concrete Autoencoder for Band Selection on HSI Scenes

7 citations · 7 across the 5 of their papers we have counts for

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cs.CV2025

Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable

Ruoxin Chen, Junwei Xi, Zhiyuan Yan +8

Existing detectors are often trained on biased datasets, leading to the possibility of overfitting on non-causal image attributes that are spuriously correlated with real/synthetic…

cs.CV2025

Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection

Lei Xu, Mehmet Yamac, Mete Ahishali +1

Edge detection has attracted considerable attention thanks to its exceptional ability to enhance performance in downstream computer vision tasks. In recent years, various deep lear…

cs.CV2025

IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond

Peng Hu, Chunming He, Lei Xu +5

Blind Face Restoration (BFR) addresses the challenge of reconstructing degraded low-quality (LQ) facial images into high-quality (HQ) outputs. Conventional approaches predominantly…

cs.CV2024

Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets

Lei Xu, Moncef Gabbouj

Anomalous crack region detection is a typical binary semantic segmentation task, which aims to detect pixels representing cracks on pavement surface images automatically by algorit…

cs.CV2024★ 7 cited

Dropout Concrete Autoencoder for Band Selection on HSI Scenes

Lei Xu, Mete Ahishali, Moncef Gabbouj

Deep learning-based informative band selection methods on hyperspectral images (HSI) recently have gained intense attention to eliminate spectral correlation and redundancies. Howe…