Search Results for author: Vivek Singh

Found 9 papers, 1 papers with code

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training

no code implementations8 Jul 2022 HaoYu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

Machine learning techniques have been extensively studied for mask optimization problems, aiming at better mask printability, shorter turnaround time, better mask manufacturability, and so on.

BIG-bench Machine Learning

Adaloss: Adaptive Loss Function for Landmark Localization

1 code implementation2 Aug 2019 Brian Teixeira, Birgi Tamersoy, Vivek Singh, Ankur Kapoor

Landmark localization is a challenging problem in computer vision with a multitude of applications.

Facial Landmark Detection

3D Organ Shape Reconstruction from Topogram Images

no code implementations29 Mar 2019 Elena Balashova, Jiangping Wang, Vivek Singh, Bogdan Georgescu, Brian Teixeira, Ankur Kapoor

Automatic delineation and measurement of main organs such as liver is one of the critical steps for assessment of hepatic diseases, planning and postoperative or treatment follow-up.

Computed Tomography (CT)

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging

no code implementations8 Nov 2018 Xiaoxiao Li, Vivek Singh, Yifan Wu, Klaus Kirchberg, James Duncan, Ankur Kapoor

Tracking organ motion is important in image-guided interventions, but motion annotations are not always easily available.

Motion Estimation

Structure-Aware Shape Synthesis

no code implementations4 Aug 2018 Elena Balashova, Vivek Singh, Jiangping Wang, Brian Teixeira, Terrence Chen, Thomas Funkhouser

We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function.

Generating Synthetic X-ray Images of a Person from the Surface Geometry

no code implementations CVPR 2018 Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu

Furthermore, the synthetic X-ray image is parametrized and can be manipulated by adjusting a set of body markers which are also generated during the X-ray image prediction.

Anatomy Anomaly Detection

Deep Decision Network for Multi-Class Image Classification

no code implementations CVPR 2016 Venkatesh N. Murthy, Vivek Singh, Terrence Chen, R. Manmatha, Dorin Comaniciu

During the learning phase, starting from the root network node, DDN automatically builds a network that splits the data into disjoint clusters of classes which would be handled by the subsequent expert networks.

Classification General Classification +1

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