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2020 – today
- 2024
[j3]Ashish Sinha
, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh:
DermSynth3D: Synthesis of in-the-wild annotated dermatology images. Medical Image Anal. 95: 103145 (2024)- [c4]Ashish Sinha, Ghassan Hamarneh:
TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields. MICCAI (12) 2024: 344-354 - [i7]Ashish Sinha, Ghassan Hamarneh:
Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields. CoRR abs/2403.08974 (2024) - 2023
- [c3]Ashish Sinha, Jonghyun Choi:
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds. CVPR Workshops 2023: 4767-4777 - [i6]Ashish Sinha, Jonghyun Choi:
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds. CoRR abs/2304.01554 (2023) - [i5]Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh:
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images. CoRR abs/2305.12621 (2023) - 2021
- [j2]Ashish Sinha, Jose Dolz:
Multi-Scale Self-Guided Attention for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 25(1): 121-130 (2021) - 2020
- [c2]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:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops 2020: 1882-1893 - [c1]Ashish Sinha, K. S. Suresh:
Deep Learning Based Dimple Segmentation for Quantitative Fractography. ICPR Workshops (4) 2020: 463-474 - [i4]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:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CoRR abs/2005.03155 (2020) - [i3]Ashish Sinha, K. S. Suresh:
Deep Learning based Dimple Detection for Quantitative Fractography. CoRR abs/2007.02267 (2020)
2010 – 2019
- 2019
- [i2]Ashish Sinha, Jose Dolz:
Multi-scale guided attention for medical image segmentation. CoRR abs/1906.02849 (2019) - [i1]Ashish Sinha, Yohei Sugawara, Yuichiro Hirano:
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention. CoRR abs/1909.12525 (2019) - 2013
- [j1]Ashish Sinha, Anna Sahgal, Sharat K. Mathur:
Practice Prize Paper - Category Optimizer: A Dynamic-Assortment, New-Product-Introduction, Mix-Optimization, and Demand-Planning System. Mark. Sci. 32(2): 221-228 (2013)
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