Prasen Kumar Sharma

According to our database, Prasen Kumar Sharma authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Knee osteoarthritis severity prediction using an attentive multi-scale deep convolutional neural network.

Rohit Kumar Jain, Prasen Kumar Sharma, Sibaji Gaj, Arijit Sur, Palash Ghosh

Multim. Tools Appl., January, 2024

2023

Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration.

Prasen Kumar Sharma, Ira Bisht, Arijit Sur

ACM Trans. Multim. Comput. Commun. Appl., January, 2023

A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks Via Learned Weights Statistics.

Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran

IEEE Trans. Multim., 2023

2022

StegGAN: hiding image within image using conditional generative adversarial networks.

Brijesh Singh, Prasen Kumar Sharma, Shashank Anil Huddedar, Arijit Sur, Pinaki Mitra

Multim. Tools Appl., 2022

2021

Deep learning-based image de-raining using discrete Fourier transformation.

Prasen Kumar Sharma, Sathisha Basavaraju, Arijit Sur

Vis. Comput., 2021

High-quality Frame Recurrent Video De-raining with Multi-contextual Adversarial Network.

Prasen Kumar Sharma, Sujoy Ghosh, Arijit Sur

ACM Trans. Multim. Comput. Commun. Appl., 2021

High-resolution image de-raining using conditional GAN with sub-pixel upscaling.

Prasen Kumar Sharma, Sathisha Basavaraju, Arijit Sur

Multim. Tools Appl., 2021

2019

A New Steganalysis Method Using Densely Connected ConvNets.

Brijesh Singh, Prasen Kumar Sharma, Rupal Saxena, Arijit Sur, Pinaki Mitra

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Memorability based image to image translation.

Sathisha Basavaraju, Prasen Kumar Sharma, Arijit Sur

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Dual-Domain Single Image De-Raining Using Conditional Generative Adversarial Network.

Prasen Kumar Sharma, Priyankar Jain, Arijit Sur

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results.

Andrey Ignatov, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Wenjin Yang, Ming Hong, Wenying Lin, Jagruti Patel, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Radu Timofte, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian, Saikat Dutta, Kuldeep Purohit

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

NTIRE 2019 Challenge on Image Colorization: Report.

Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019