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Found 9 papers, 1 papers with code
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
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.
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Lithography simulation is a critical step in VLSI design and optimization for manufacturability.
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors
Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving.
Adaloss: Adaptive Loss Function for Landmark Localization
Landmark localization is a challenging problem in computer vision with a multitude of applications.
Ranked #8 on
Facial Landmark Detection
on 300W
3D Organ Shape Reconstruction from Topogram Images
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.
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging
Tracking organ motion is important in image-guided interventions, but motion annotations are not always easily available.
Structure-Aware Shape Synthesis
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
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.
Deep Decision Network for Multi-Class Image Classification
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.
