1 code implementation • 24 Aug 2023 • Hossein Shakibania, Sina Raoufi, Hassan Khotanlou
Low-light images, characterized by inadequate illumination, pose challenges of diminished clarity, muted colors, and reduced details.
Ranked #26 on Low-Light Image Enhancement on LOL
no code implementations • 19 Aug 2023 • Hossein Shakibania, Sina Raoufi, Behnam Pourafkham, Hassan Khotanlou, Muharram Mansoorizadeh
It achieves remarkable performance in diabetic retinopathy detection and stage classification on the APTOS 2019, outperforming the established literature.
Diabetic Retinopathy Detection Diabetic Retinopathy Grading +1
no code implementations • 10 Oct 2020 • Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou
Spreading of COVID-19 virus has increased the efforts to provide testing kits.
1 code implementation • 1 May 2020 • S.M. Moein Peyghambarzadeh, Fatemeh Azizmalayeri, Hassan Khotanlou, Amir Salarpour
In the proposed method an alternative simple local operation, called PlaneConv, is introduced which can extract local geometric features from point clouds by learning a set of planes in Rn space.
Ranked #4 on Semantic Segmentation on ShapeNet
1 code implementation • 11 Dec 2019 • Moein Hasani, Amin Nasim Saravi, Hassan Khotanlou
Unlike the traditional convolutional neural networks (CNNs), this architecture is able to preserve the pose of the objects in the picture.
no code implementations • 9 Dec 2019 • Moein Hasani, Hassan Khotanlou
In this paper, we have studied how the training of the convolutional neural networks (CNNs) can be affected by changing the position of the batch normalization (BN) layer.
no code implementations • 19 May 2019 • Ali A. Kiaei, Hassan Khotanlou, Mahdi Abbasi, Paniz Kiaei, Yasin Bhrouzi
Remarkable and attractive points of the proposed metric are that it has no parameter, the result is probability in the range of [0, 1] and it is free from illumination dependence.