13 citations · 27 across the 8 of their papers we have counts for
6 papers · 1 filter
Soft Expectation and Deep Maximization for Image Feature Detection
Alexander Mai, Allen Yang, Dominique E. Meyer
Central to the application of many multi-view geometry algorithms is the extraction of matching points between multiple viewpoints, enabling classical tasks such as camera pose est…
Contextual Scene Augmentation and Synthesis via GSACNet
Mohammad Keshavarzi, Flaviano Christian Reyes, Ritika Shrivastava +3
Indoor scene augmentation has become an emerging topic in the field of computer vision and graphics with applications in augmented and virtual reality. However, current state-of-th…
GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas +2
The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To…
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation
Oladapo Afolabi, Allen Y. Yang, S. Shankar Sastry
Recent advances in computer graphics and computer vision have found successful application of deep neural network models for 3D shapes based on signed distance functions (SDFs) tha…
Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
Alexander Mai, Joseph Menke, Allen Yang
Image space feature detection is the act of selecting points or parts of an image that are easy to distinguish from the surrounding image region. By combining a repeatable point de…
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
Zhang Qianhao, Alexander Mai, Joseph Menke +1
In visual Simultaneous Localization And Mapping (SLAM), detecting loop closures has been an important but difficult task. Currently, most solutions are based on the bag-of-words ap…