Ashish Sinha

16 papers Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ethical Medical Image Synthesis.
CoRR
Weina Jin, Ashish Sinha, Kumar Abhishek, Ghassan Hamarneh
2025 J jnl
UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation.
CoRR
Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu
2024 J jnl
DermSynth3D: Synthesis of in-the-wild annotated dermatology images.
Medical Image Anal.
Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh
2024 J jnl
Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields.
CoRR
Ashish Sinha, Ghassan Hamarneh
2024 — conf
TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields.
MICCAI (12)
Ashish Sinha, Ghassan Hamarneh
2023 J jnl
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images.
CoRR
Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh
2023 — conf
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds.
CVPR Workshops
Ashish Sinha, Jonghyun Choi
2023 J jnl
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds.
CoRR
Ashish Sinha, Jonghyun Choi
2021 J jnl
Multi-Scale Self-Guided Attention for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Ashish Sinha, Jose Dolz
2020 — conf
Deep Learning Based Dimple Segmentation for Quantitative Fractography.
ICPR Workshops (4)
Ashish Sinha, K. S. Suresh
2020 J jnl
Deep Learning based Dimple Detection for Quantitative Fractography.
CoRR
Ashish Sinha, K. S. Suresh
2020 — conf
NTIRE 2020 Challenge on Image Demoireing: Methods and Results.
CVPR Workshops
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, Vien Gia An, 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
2020 J jnl
NTIRE 2020 Challenge on Image Demoireing: Methods and Results.
CoRR
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, Vien Gia An, 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
2019 J jnl
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention.
CoRR
Ashish Sinha, Yohei Sugawara, Yuichiro Hirano
2019 J jnl
Multi-scale guided attention for medical image segmentation.
CoRR
Ashish Sinha, Jose Dolz
2013 J jnl
Practice Prize Paper - Category Optimizer: A Dynamic-Assortment, New-Product-Introduction, Mix-Optimization, and Demand-Planning System.
Mark. Sci.
Ashish Sinha, Anna Sahgal, Sharat K. Mathur