no code implementations • 19 Mar 2024 • Aakash Singh, Vivek Kumar Singh
The model can, therefore, be applied as a core classification component in various image processing and computer vision problems.
Ranked #1 on Age And Gender Classification on Adience Gender
1 code implementation • 5 May 2023 • Chuang Zhu, ShengJie Liu, Zekuan Yu, Feng Xu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan.
no code implementations • 3 Apr 2023 • Deepawali Sharma, Vedika Gupta, Vivek Kumar Singh
Motivated by this, the paper attempts to explore applicability of different deep learning mod-els for classification of the social media comments in Malayalam and Tamil lan-guages as homophobic, transphobic and non-anti-LGBT+content.
no code implementations • 28 Mar 2023 • Aakash Singh, Vivek Kumar Singh
Images generated by high-resolution SAR have vast areas of application as they can work better in adverse light and weather conditions.
1 code implementation • 23 Jun 2022 • Vivek Kumar Singh, Paul O Reilly, Jacqueline James, Manuel Salto Tellez, Perry Maxwell
Biomarkers identify a patients response to treatment.
no code implementations • 23 Jan 2021 • Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony Samir
The salient features of our algorithm include: 1)no need for original training data or generative networks, 2) knowledge transfer between different architectures, 3) ease of implementation for downstream tasks by using the downstream task dataset as the transferal dataset, 4) knowledge transfer of an ensemble of models, trained independently, into one student model.
no code implementations • 1 Jan 2021 • Shuhang Wang, Eugene Cheah, Elham Yousef Kalafi, Mercy Asiedu, Alex Benjamin, Vivek Kumar Singh, Ge Zhang, Viksit Kumar, Anthony Edward Samir
Transfer learning often employs all or part of the weights of a pre-trained net-work to the problem at hand; this limits the flexibility of new neural architectures.
no code implementations • 12 Jul 2020 • Vivek Kumar Singh, Parveen Arora, Ashraf Uddin, Sujit Bhattacharya
During the last two decades, India has emerged as a major knowledge producer in the world, however different reports put it at different ranks, varying from 3rd to 9th places.
no code implementations • 12 Jul 2020 • Prashasti Singh, Vivek Kumar Singh, Parveen Arora, Sujit Bhattacharya
India is emerging as a major knowledge producer of the world in terms of proportionate share of global research output and the overall research productivity rank.
no code implementations • 5 Jul 2019 • Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig
In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization.
no code implementations • 1 Jul 2019 • Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romani, Domenec Puig
We propose to add an atrous convolution layer to the conditional generative adversarial network (cGAN) segmentation model to learn tumor features at different resolutions of BUS images.
1 code implementation • 1 Jul 2019 • Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U H Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser
Thus, this article aims to achieve precise skin lesion segmentation with minimum resources: a lightweight, efficient generative adversarial network (GAN) model called SLSNet, which combines 1-D kernel factorized networks, position and channel attention, and multiscale aggregation mechanisms with a GAN model.
no code implementations • 27 Mar 2019 • Wolfgang Otto, Behnam Ghavimi, Philipp Mayr, Rajesh Piryani, Vivek Kumar Singh
We have found that these references are distinguishable by the IMRaD sections of their citation.
Digital Libraries
1 code implementation • 5 Sep 2018 • Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritexell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
In this paper, we proposed a conditional Generative Adversarial Network (cGAN) devised to segment a breast mass within a region of interest (ROI) in a mammogram.
no code implementations • 30 Jul 2018 • Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh, Farhan Akram, Md. Mostafa Kamal Sarker, Nidhi Pandey, Saddam Abdulwahab
In this paper, an optic disc and cup segmentation method is proposed using U-Net followed by a multi-scale feature matching network.
no code implementations • 11 Jun 2018 • Vivek Kumar Singh, Hatem Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostaf Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romani, Domenec Puig
Then, the discriminator learns as a loss function to train this mapping by comparing the ground-truth and the predicted output with observing the input image as a condition. Experiments were performed on two publicly available dataset; DRISHTI GS1 and RIM-ONE.
no code implementations • 25 May 2018 • Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U H Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
The robustness of the proposed model was evaluated on two public databases: ISBI 2016 and 2017 for skin lesion analysis towards melanoma detection challenge.
2 code implementations • 25 May 2018 • Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents Barrena, Saddam Abdulwahab, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig
This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography.
no code implementations • ICCV 2015 • Jiangping Wang, Kai Ma, Vivek Kumar Singh, Thomas Huang, Terrence Chen
3D human body shape matching has large potential on many real world applications, especially with the recent advances in the 3D range sensing technology.