Ashish Sinha
Indian Institute of Technology Roorkee
9 Papers
22 Citations
Ashish Sinha is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Computer science & Image segmentation. The author has an hindex of 4, co-authored 7 publications.
Chat about Author
Papers
Multi-Scale Self-Guided Attention for Medical Image Segmentation
Ashish Sinha,Jose Dolz +1 more
TL;DR: Compared to other state-of-the-art segmentation networks, this model yields better segmentation performance, increasing the accuracy of the predictions while reducing the standard deviation, which demonstrates the efficiency of the approach to generate precise and reliable automatic segmentations of medical images.
559
•Posted Content
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha,Jose Dolz +1 more
TL;DR: In this paper, a self-attention mechanism is proposed to capture richer contextual dependencies based on the use of guided selfattention mechanisms for medical image segmentation, which is able to integrate local features with their corresponding global dependencies and highlight interdependent channel maps in an adaptive manner.
50
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan,Radu Timofte,Ales Leonardis,Gregory G. Slabaugh,Xiaotong Luo,Jiangtao Zhang,Yanyun Qu,Ming Hong,Yuan Xie,Cuihua Li,Cuihua Li,Dejia Xu,Yihao Chu,Qingyan Sun,Shuai Liu,Ziyao Zong,Nan Nan,Chenghua Li,Chenghua Li,Sangmin Kim,Hyungjoon Nam,Jisu Kim,Jechang Jeong,Manri Cheon,Sung-Jun Yoon,Byungyeon Kang,Junwoo Lee,Bolun Zheng,Xiaohong Liu,Linhui Dai,Jun Chen,Xi Cheng,Zhenyong Fu,Jian Yang,Chul Lee,An Gia Vien,Hyunkook Park,Sabari Nathan,M. Parisa Beham,S. Mohamed Mansoor Roomi,Florian Lemarchand,Maxime Pelcat,Erwan Nogues,Densen Puthussery,P.S. Hrishikesh,C.V. Jiji,Ashish Sinha,Xuan Zhao +47 more
- 14 Jun 2020
TL;DR: The NNTIRE 2019 challenge on image demoireing as mentioned in this paper focused on removing moire patterns from an image to reveal an underlying clean image, with the goal of producing a single demoired image as output.
•Posted Content
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan,Radu Timofte,Ales Leonardis,Gregory G. Slabaugh,Xiaotong Luo,Jiangtao Zhang,Yanyun Qu,Ming Hong,Yuan Xie,Cuihua Li,Dejia Xu,Yihao Chu,Qingyan Sun,Shuai Liu,Ziyao Zong,Nan Nan,Chenghua Li,Sangmin Kim,Hyungjoon Nam,Jisu Kim,Jechang Jeong,Manri Cheon,Sung-Jun Yoon,Byungyeon Kang,Junwoo Lee,Bolun Zheng,Xiaohong Liu,Linhui Dai,Jun Chen,Xi Cheng,Zhenyong Fu,Jian Yang,Chul Lee,An Gia Vien,Hyunkook Park,Sabari Nathan,M. Parisa Beham,S. Mohamed Mansoor Roomi,Florian Lemarchand,Maxime Pelcat,Erwan Nogues,Densen Puthussery,Hrishikesh P S,C. V. Jiji,Ashish Sinha,Xuan Zhao +45 more
TL;DR: This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020, and examines the current state-of-the-art in image and burst image demoireing problems.
34
•Posted Content
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention
TL;DR: The use of guided attention in the reconstruction of CTvolumes from biplanar DRRs is investigated and the use of Vector Quantization is considered for the CT reconstruction so that the memory usage can be reduced, maintaining the same visual image quality.
3