83 citations · 186 across the 25 of their papers we have counts for
13 papers · 2 filters
Learning a Dynamic Map of Visual Appearance
Tawfiq Salem, Scott Workman, Nathan Jacobs
The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Every day billions of images capture this complex relati…
A Structure-Aware Method for Direct Pose Estimation
Hunter Blanton, Scott Workman, Nathan Jacobs
Estimating camera pose from a single image is a fundamental problem in computer vision. Existing methods for solving this task fall into two distinct categories, which we refer to…
Dynamic Traffic Modeling From Overhead Imagery
Scott Workman, Nathan Jacobs
Our goal is to use overhead imagery to understand patterns in traffic flow, for instance answering questions such as how fast could you traverse Times Square at 3am on a Sunday. A…
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin +3
Most galaxies in the nearby Universe are gravitationally bound to a cluster or group of galaxies. Their optical contents, such as optical richness, are crucial for understanding th…
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
Xin Xing, Gongbo Liang, Hunter Blanton +4
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's disease classification. Training a 3D convolutional neural network (CNN) is time-consuming and computationally…
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
Gongbo Liang, Yu Zhang, Xiaoqin Wang +1
Recent works have shown that deep neural networks can achieve super-human performance in a wide range of image classification tasks in the medical imaging domain. However, these wo…