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20202026
most citedReal-time Tone Mapping: A State of the Art Report

30 citations · 71 across the 19 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

eess.IV2024

BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs

Haolin Wang, Yafei Ou, Prasoon Ambalathankandy +5

Conventional radiography is the widely used imaging technology in diagnosing, monitoring, and prognosticating musculoskeletal (MSK) diseases because of its easy availability, versa…

cs.LG2024★ 1 cited

Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis

Lin Fan, Xun Gong, Cenyang Zheng +1

The intersection of medical Visual Question Answering (Med-VQA) is a challenging research topic with advantages including patient engagement and clinical expert involvement for sec…

cs.LG2024

MDA: An Interpretable and Scalable Multi-Modal Fusion under Missing Modalities and Intrinsic Noise Conditions

Lin Fan, Yafei Ou, Cenyang Zheng +5

Multi-modal learning has shown exceptional performance in various tasks, especially in medical applications, where it integrates diverse medical information for comprehensive diagn…

cs.CV2024

Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling

Prasoon Ambalathankandy, Yafei Ou, Masayuki Ikebe

Halo artifacts significantly impact display quality. We propose a method to reduce halos in Local Histogram Equalization (LHE) algorithms by separately addressing dark and light va…

cs.CV2024★ 3 cited

A Psychological Study: Importance of Contrast and Luminance in Color to Grayscale Mapping

Prasoon Ambalathankandy, Yafei Ou, Sae Kaneko +1

Grayscale images are essential in image processing and computer vision tasks. They effectively emphasize luminance and contrast, highlighting important visual features, while also…

cs.CV2024★ 2 cited

Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

Pengyu Dai, Yafei Ou, Yuqiao Yang +2

Accurate tooth identification and segmentation in Cone Beam Computed Tomography (CBCT) dental images can significantly enhance the efficiency and precision of manual diagnoses perf…