Search Results for author: Vivek Kumar Singh

Found 19 papers, 5 papers with code

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review

1 code implementation5 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.

Image Generation SSIM

Detection of Homophobia & Transphobia in Dravidian Languages: Exploring Deep Learning Methods

no code implementations3 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.

Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers

no code implementations28 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.

Image Classification

Network-Agnostic Knowledge Transfer for Medical Image Segmentation

no code implementations23 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.

Image Segmentation Knowledge Distillation +3

India's rank and global share in scientific research -- how publication counting method and subject selection can vary the outcomes

no code implementations12 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.

India's rank and global share in scientific research -- how data sourced from different databases can produce varying outcomes

no code implementations12 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.

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation

no code implementations5 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.

Segmentation

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

1 code implementation1 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.

Generative Adversarial Network Image Segmentation +5

Highly cited references in PLOS ONE and their in-text usage over time

no code implementations27 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

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network

no code implementations11 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.

Generative Adversarial Network Image Segmentation +3

BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies

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.

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